10.02.19
Invited talk
Symposium #1816, Managing the Exaflood: Enhancing the Value of Networked Data for Science and Society
Title: Advancing the Metagenomics Revolution
San Diego, CA
The Emerging Global Collaboratory for Microbial Metagenomics ResearchersLarry Smarr
08.07.30
Invited Talk
Delivered From Calit2@UCSD
Monash University MURPA Lecture
Title: The Emerging Global Collaboratory for Microbial Metagenomics Researchers
Melbourne, Australia
Viral Metagenomics (CABBIO 20150629 Buenos Aires)bedutilh
This is a one-hour lecture about metagenomics, focusing on discovery of viruses and unknown sequence elements. It is part of a one-day workshop about metagenome assembly of crAssphage, a bacteriophage virus found in human gut. The hands-on workflow can be found at http://tbb.bio.uu.nl/dutilh/CABBIO/ and should be doable in one afternoon with supervision. There is also an iPython notebook about this here: https://github.com/linsalrob/CrAPy
Microbial Metagenomics Drives a New CyberinfrastructureLarry Smarr
06.03.03
Invited Talk
School of Biological Sciences
University of California, Irvine
Title: Microbial Metagenomics Drives a New Cyberinfrastructure
Irvine, CA
Metagenomics is the study of metagenomes, genetic material recovered directly from environmental samples. The broad field was referred to as environmental genomics, ecogenomics or community genomics. Recent studies use "shotgun" Sanger sequencing or next generation sequencing (NGS) to get largely unbiased samples of all genes from all the members of the sampled communities.
PROKARYOTIC TRANSCRIPTOMICS AND METAGENOMICSLubna MRL
After billions of years of evolution, prokaryotes have developed a huge diversity of regulatory mechanisms, many of which are probably uncharacterized. Now that the powerful tool of whole-transcriptome analysis can be used to study the RNA of bacteria and archaea, a new set of un expected RNA-based regulatory strategies might be revealed.
Metagenomics, together with in vitro evolution and high-throughput screening technologies, provides industry with an unprecedented chance to bring biomolecules into industrial application.
The Emerging Global Collaboratory for Microbial Metagenomics ResearchersLarry Smarr
08.07.30
Invited Talk
Delivered From Calit2@UCSD
Monash University MURPA Lecture
Title: The Emerging Global Collaboratory for Microbial Metagenomics Researchers
Melbourne, Australia
Viral Metagenomics (CABBIO 20150629 Buenos Aires)bedutilh
This is a one-hour lecture about metagenomics, focusing on discovery of viruses and unknown sequence elements. It is part of a one-day workshop about metagenome assembly of crAssphage, a bacteriophage virus found in human gut. The hands-on workflow can be found at http://tbb.bio.uu.nl/dutilh/CABBIO/ and should be doable in one afternoon with supervision. There is also an iPython notebook about this here: https://github.com/linsalrob/CrAPy
Microbial Metagenomics Drives a New CyberinfrastructureLarry Smarr
06.03.03
Invited Talk
School of Biological Sciences
University of California, Irvine
Title: Microbial Metagenomics Drives a New Cyberinfrastructure
Irvine, CA
Metagenomics is the study of metagenomes, genetic material recovered directly from environmental samples. The broad field was referred to as environmental genomics, ecogenomics or community genomics. Recent studies use "shotgun" Sanger sequencing or next generation sequencing (NGS) to get largely unbiased samples of all genes from all the members of the sampled communities.
PROKARYOTIC TRANSCRIPTOMICS AND METAGENOMICSLubna MRL
After billions of years of evolution, prokaryotes have developed a huge diversity of regulatory mechanisms, many of which are probably uncharacterized. Now that the powerful tool of whole-transcriptome analysis can be used to study the RNA of bacteria and archaea, a new set of un expected RNA-based regulatory strategies might be revealed.
Metagenomics, together with in vitro evolution and high-throughput screening technologies, provides industry with an unprecedented chance to bring biomolecules into industrial application.
[2013.12.02] Mads Albertsen: Extracting Genomes from MetagenomesMads Albertsen
This document summarizes the process of extracting genomes from metagenomes. It discusses how metagenomics involves sequencing the collective DNA from an environmental sample to determine the community composition and functional potential. Full genomes cannot typically be assembled from metagenomic data due to high microbial diversity within samples and limitations in separating individual genomes (binning). Methods described to improve binning include reducing diversity through short-term enrichments and using multiple related samples. Validation of binned genomes involves checking for essential single copy genes and confirming bins with in situ techniques like fluorescence in situ hybridization.
Creating a Cyberinfrastructure for Advanced Marine Microbial Ecology Research...Larry Smarr
The document discusses the creation of the Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA) project. CAMERA aims to provide metagenomic sequencing and analysis of marine microbes at high speeds. It will include data from the Sorcerer II expedition and other projects. The document outlines how CAMERA will utilize Calit2's infrastructure including high-performance computing resources and optical networks to enable remote interactive analysis of large-scale genomic and environmental data sets.
Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...Larry Smarr
06.09.15
Invited Talk
2006 Synthetic Biology Symposium
Aliso Creek Inn
Title: Building a Community Cyberinfrastructure to Support Marine Microbial Ecology Metagenomics
Laguna Beach, CA
Tom Delmont: From the Terragenome Project to Global Metagenomic Comparisons: ...GigaScience, BGI Hong Kong
This document discusses challenges in comparing metagenomic data from different environments and studies. It argues that when exploring a new environment, multiple methodological approaches should be used to capture natural and methodological variations. When performing global comparisons, methodological variations should be considered for all environments. Defining ecosystems precisely at the microorganism level is important. The author's vision is for projects like the Earth Microbiome Project to use flexible experimental designs informed by different experts to best represent microbial communities.
Cross-Kingdom Standards in Genomics, Epigenomics and MetagenomicsChristopher Mason
This document outlines plans for multi-site sequencing studies to generate standardized human and bacterial genome sequencing datasets. Samples include a human trio, bacterial isolates, and mixtures, which will be sequenced in triplicate across three sites on various platforms including Illumina HiSeq X Ten, HiSeq 4000, HiSeq 2500, NextSeq 500, Life Tech Ion Proton, Ion S5, Pacific Biosciences, Oxford Nanopore, and others. The goals are to measure intra- and inter-lab variation, sequencing performance at GC extremes, and establish molecular standards for assessing sequencing methods in DNA, RNA, and metagenomics. Data will be analyzed by a team to benchmark tools and published by October 2017.
[2013.09.27] extracting genomes from metagenomesMads Albertsen
This document summarizes a presentation on extracting genomes from metagenomes. It discusses why genomes are needed, how they can be obtained through culturing, single cell genomics, and metagenomics. Metagenomics involves sequencing all DNA from an environmental sample to study the collective genomes of microbial communities. While it provides abundance and functional information, it does not yield full genomes due to microdiversity within populations. Methods for binning sequences into genomes using genomic signatures and using multiple related samples are described. An example of obtaining a near-complete genome of a Candidatus Saccharimonas bacterium from activated sludge metagenomes is provided. Obtaining genomes through metagenomics enables comprehensive studies of ecosystem function.
Shotgun metagenomics sequencing allows researchers to comprehensively sample all genes in organisms present in a complex sample without culturing. This provides insights into bacterial diversity, abundance, and uncultured microbes. Bioinformatics pipelines guide analysis including quality filtering, assembly, binning, gene finding, fingerprinting, and phylogeny/diversity modeling to understand communities. Metagenomics has applications in antibiotic/drug discovery, bioremediation, agriculture, human microbiome mapping, and more. Tools like QIIME, Mothur, MEGAN, and MG-RAST facilitate large-scale metagenomic analysis.
Metagenomics research is a vast field which studies about the genetic system of the
environmental samples. Binning is a bioinformatics tool. Binning tool helps to analyses the
genomic analysis of the environmental samples.The
The document summarizes research that screened metagenomic libraries from Puerto Rican forests for protease activity. Culture-independent metagenomic techniques were used to study the uncultured microbial genetics. Two libraries containing 14,000 and 600,000 clones were screened, identifying 20 potential clones producing protease enzymes, which are undergoing further analysis. Proteases have important industrial biotechnology applications.
Dag Harmsen presented on the evolvement and challenges of cgMLST for the harmonization of bacterial genome sequencing and analysis. Key points include:
- cgMLST (core genome multilocus sequence typing) involves identifying and comparing alleles across a fixed set of core genome genes and has been applied to outbreak investigation and global pathogen nomenclature.
- Tools for cgMLST analysis have been developed and improved to work on read, draft, and complete genome levels and allow scalable, additive analysis of single genes to whole genomes.
- Standardizing a hierarchical cgMLST-based approach and developing common nomenclature poses challenges but is important for microbial genotypic surveillance across laboratories and countries.
Microbiology has experienced a transformation during the last 25 years that has altered microbiologists' view of microorganisms and how to study them. The realization that most microorganisms cannot be grown readily in pure culture forced microbiologists to question their belief that the microbial world had been conquered. We were forced to replace this belief with an acknowledgment of the extent of our ignorance about the range of metabolic and organismal diversity.
This document discusses food authenticity testing and the issues with current testing methods. It introduces next generation sequencing (NGS) as a new method for food authenticity testing. NGS allows for the simultaneous detection of thousands of potential food contaminants in a single test, overcoming limitations of current polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA) methods. NGS involves amplifying DNA from all species in a mixed sample, sequencing the amplified products, and comparing the sequences to a reference database to identify contaminants. While a major improvement, NGS also has limitations, such as an inability to currently quantify contamination levels.
This document provides an overview of genomics and metagenomics. It begins with an introduction to genomics, describing genome assembly, validation, and metabolic reconstruction. It then covers metagenomics, discussing its history, pitfalls, and potentials. Key points include that genomics analyzes the parts list of a single genome, while metagenomics analyzes the collective genomes of an entire microbial community. Metagenomics has been used to explore novel sequences from various environments, perform comparative analyses between ecosystems, and extract genomes from low-abundance species.
This document discusses the potential for metagenomics to provide novel enzymes and biocatalysts for various industrial applications. It outlines how different industries, such as chemicals, pharmaceuticals, and detergents, are interested in accessing new enzymes from uncultured microbes. The document also discusses challenges in finding suitable enzymes and describes screening methods used to identify candidate enzymes from metagenomic libraries for specific industrial transformations and processes.
Metagenomics is the study of microbial communities directly from environmental samples without culturing individual species. It sequences all DNA from a sample simultaneously, bypassing the need for culture. Analysis of metagenomic data involves screening and phylogenetic studies of the large amounts of sequence data. Metagenomics can provide insights into microbial community structure and interactions, and discover novel enzymes and genes with industrial or pharmaceutical applications. Challenges include DNA purification issues, contamination, sequencing errors, and difficulties assembling less abundant genomes from immense metagenomic datasets.
This document discusses the potentials and pitfalls of metagenomics. It begins with an introduction to metagenomics and its history. It describes some of the early applications of metagenomics including exploration of microbial communities and identification of specific functions. Potential pitfalls of metagenomics are then outlined, including issues related to DNA extraction, sequencing depth, and biases. The major pitfall discussed is the incompleteness of databases for assigning taxonomy and functions. The document concludes by describing some of the potentials of metagenomics, including hunting for novel antibiotic resistance genes using functional metagenomics and extracting genomes from metagenomes through reducing microdiversity and binning sequences from multiple related samples.
The Phytobiomes Initiative proposes a systems-level approach to studying the entire microbial community associated with plants, including bacteria, viruses, and eukaryotes in the rhizosphere, phyllosphere, and within plants. Recent advances in metagenomic technologies now allow comprehensive analysis of both culturable and non-culturable microbes. Two recent studies using these methods revealed that root microbial communities are non-random and depend on host genotype and environment. The initiative aims to establish a foundation for understanding how phytobiomes influence plant health and productivity, with the goal of developing strategies to improve crop yields, reduce disease and environmental impacts, and enhance food safety and security.
Computational analysis of metagenomic data: delineation of compositional feat...Konrad Förstner
This document summarizes a presentation on analyzing metagenomic data to identify useful enzymes. It discusses using GC content analysis to understand microbial communities and detecting proteins. Specific enzyme classes like nitrilases, nitrile hydratases and polyketide synthases that have industrial applications are examined. New members and subfamilies of these enzymes were found in metagenomic datasets. The talk highlights challenges in metagenomics but emphasizes its potential to explore the microbial world and discover novel biotech enzymes.
[2013.12.02] Mads Albertsen: Extracting Genomes from MetagenomesMads Albertsen
This document summarizes the process of extracting genomes from metagenomes. It discusses how metagenomics involves sequencing the collective DNA from an environmental sample to determine the community composition and functional potential. Full genomes cannot typically be assembled from metagenomic data due to high microbial diversity within samples and limitations in separating individual genomes (binning). Methods described to improve binning include reducing diversity through short-term enrichments and using multiple related samples. Validation of binned genomes involves checking for essential single copy genes and confirming bins with in situ techniques like fluorescence in situ hybridization.
Creating a Cyberinfrastructure for Advanced Marine Microbial Ecology Research...Larry Smarr
The document discusses the creation of the Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA) project. CAMERA aims to provide metagenomic sequencing and analysis of marine microbes at high speeds. It will include data from the Sorcerer II expedition and other projects. The document outlines how CAMERA will utilize Calit2's infrastructure including high-performance computing resources and optical networks to enable remote interactive analysis of large-scale genomic and environmental data sets.
Building a Community Cyberinfrastructure to Support Marine Microbial Ecology ...Larry Smarr
06.09.15
Invited Talk
2006 Synthetic Biology Symposium
Aliso Creek Inn
Title: Building a Community Cyberinfrastructure to Support Marine Microbial Ecology Metagenomics
Laguna Beach, CA
Tom Delmont: From the Terragenome Project to Global Metagenomic Comparisons: ...GigaScience, BGI Hong Kong
This document discusses challenges in comparing metagenomic data from different environments and studies. It argues that when exploring a new environment, multiple methodological approaches should be used to capture natural and methodological variations. When performing global comparisons, methodological variations should be considered for all environments. Defining ecosystems precisely at the microorganism level is important. The author's vision is for projects like the Earth Microbiome Project to use flexible experimental designs informed by different experts to best represent microbial communities.
Cross-Kingdom Standards in Genomics, Epigenomics and MetagenomicsChristopher Mason
This document outlines plans for multi-site sequencing studies to generate standardized human and bacterial genome sequencing datasets. Samples include a human trio, bacterial isolates, and mixtures, which will be sequenced in triplicate across three sites on various platforms including Illumina HiSeq X Ten, HiSeq 4000, HiSeq 2500, NextSeq 500, Life Tech Ion Proton, Ion S5, Pacific Biosciences, Oxford Nanopore, and others. The goals are to measure intra- and inter-lab variation, sequencing performance at GC extremes, and establish molecular standards for assessing sequencing methods in DNA, RNA, and metagenomics. Data will be analyzed by a team to benchmark tools and published by October 2017.
[2013.09.27] extracting genomes from metagenomesMads Albertsen
This document summarizes a presentation on extracting genomes from metagenomes. It discusses why genomes are needed, how they can be obtained through culturing, single cell genomics, and metagenomics. Metagenomics involves sequencing all DNA from an environmental sample to study the collective genomes of microbial communities. While it provides abundance and functional information, it does not yield full genomes due to microdiversity within populations. Methods for binning sequences into genomes using genomic signatures and using multiple related samples are described. An example of obtaining a near-complete genome of a Candidatus Saccharimonas bacterium from activated sludge metagenomes is provided. Obtaining genomes through metagenomics enables comprehensive studies of ecosystem function.
Shotgun metagenomics sequencing allows researchers to comprehensively sample all genes in organisms present in a complex sample without culturing. This provides insights into bacterial diversity, abundance, and uncultured microbes. Bioinformatics pipelines guide analysis including quality filtering, assembly, binning, gene finding, fingerprinting, and phylogeny/diversity modeling to understand communities. Metagenomics has applications in antibiotic/drug discovery, bioremediation, agriculture, human microbiome mapping, and more. Tools like QIIME, Mothur, MEGAN, and MG-RAST facilitate large-scale metagenomic analysis.
Metagenomics research is a vast field which studies about the genetic system of the
environmental samples. Binning is a bioinformatics tool. Binning tool helps to analyses the
genomic analysis of the environmental samples.The
The document summarizes research that screened metagenomic libraries from Puerto Rican forests for protease activity. Culture-independent metagenomic techniques were used to study the uncultured microbial genetics. Two libraries containing 14,000 and 600,000 clones were screened, identifying 20 potential clones producing protease enzymes, which are undergoing further analysis. Proteases have important industrial biotechnology applications.
Dag Harmsen presented on the evolvement and challenges of cgMLST for the harmonization of bacterial genome sequencing and analysis. Key points include:
- cgMLST (core genome multilocus sequence typing) involves identifying and comparing alleles across a fixed set of core genome genes and has been applied to outbreak investigation and global pathogen nomenclature.
- Tools for cgMLST analysis have been developed and improved to work on read, draft, and complete genome levels and allow scalable, additive analysis of single genes to whole genomes.
- Standardizing a hierarchical cgMLST-based approach and developing common nomenclature poses challenges but is important for microbial genotypic surveillance across laboratories and countries.
Microbiology has experienced a transformation during the last 25 years that has altered microbiologists' view of microorganisms and how to study them. The realization that most microorganisms cannot be grown readily in pure culture forced microbiologists to question their belief that the microbial world had been conquered. We were forced to replace this belief with an acknowledgment of the extent of our ignorance about the range of metabolic and organismal diversity.
This document discusses food authenticity testing and the issues with current testing methods. It introduces next generation sequencing (NGS) as a new method for food authenticity testing. NGS allows for the simultaneous detection of thousands of potential food contaminants in a single test, overcoming limitations of current polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA) methods. NGS involves amplifying DNA from all species in a mixed sample, sequencing the amplified products, and comparing the sequences to a reference database to identify contaminants. While a major improvement, NGS also has limitations, such as an inability to currently quantify contamination levels.
This document provides an overview of genomics and metagenomics. It begins with an introduction to genomics, describing genome assembly, validation, and metabolic reconstruction. It then covers metagenomics, discussing its history, pitfalls, and potentials. Key points include that genomics analyzes the parts list of a single genome, while metagenomics analyzes the collective genomes of an entire microbial community. Metagenomics has been used to explore novel sequences from various environments, perform comparative analyses between ecosystems, and extract genomes from low-abundance species.
This document discusses the potential for metagenomics to provide novel enzymes and biocatalysts for various industrial applications. It outlines how different industries, such as chemicals, pharmaceuticals, and detergents, are interested in accessing new enzymes from uncultured microbes. The document also discusses challenges in finding suitable enzymes and describes screening methods used to identify candidate enzymes from metagenomic libraries for specific industrial transformations and processes.
Metagenomics is the study of microbial communities directly from environmental samples without culturing individual species. It sequences all DNA from a sample simultaneously, bypassing the need for culture. Analysis of metagenomic data involves screening and phylogenetic studies of the large amounts of sequence data. Metagenomics can provide insights into microbial community structure and interactions, and discover novel enzymes and genes with industrial or pharmaceutical applications. Challenges include DNA purification issues, contamination, sequencing errors, and difficulties assembling less abundant genomes from immense metagenomic datasets.
This document discusses the potentials and pitfalls of metagenomics. It begins with an introduction to metagenomics and its history. It describes some of the early applications of metagenomics including exploration of microbial communities and identification of specific functions. Potential pitfalls of metagenomics are then outlined, including issues related to DNA extraction, sequencing depth, and biases. The major pitfall discussed is the incompleteness of databases for assigning taxonomy and functions. The document concludes by describing some of the potentials of metagenomics, including hunting for novel antibiotic resistance genes using functional metagenomics and extracting genomes from metagenomes through reducing microdiversity and binning sequences from multiple related samples.
The Phytobiomes Initiative proposes a systems-level approach to studying the entire microbial community associated with plants, including bacteria, viruses, and eukaryotes in the rhizosphere, phyllosphere, and within plants. Recent advances in metagenomic technologies now allow comprehensive analysis of both culturable and non-culturable microbes. Two recent studies using these methods revealed that root microbial communities are non-random and depend on host genotype and environment. The initiative aims to establish a foundation for understanding how phytobiomes influence plant health and productivity, with the goal of developing strategies to improve crop yields, reduce disease and environmental impacts, and enhance food safety and security.
Computational analysis of metagenomic data: delineation of compositional feat...Konrad Förstner
This document summarizes a presentation on analyzing metagenomic data to identify useful enzymes. It discusses using GC content analysis to understand microbial communities and detecting proteins. Specific enzyme classes like nitrilases, nitrile hydratases and polyketide synthases that have industrial applications are examined. New members and subfamilies of these enzymes were found in metagenomic datasets. The talk highlights challenges in metagenomics but emphasizes its potential to explore the microbial world and discover novel biotech enzymes.
Phylogeny Driven Approaches to Genomic and Metagenomic StudiesJonathan Eisen
The document discusses using phylogeny-driven approaches in genomics and metagenomics to search for novelty. It provides examples of using phylogenetic analysis of rRNA genes to classify unknown environmental sequences (rRNA phylotyping) and discusses the data overload problem this posed as sequencing technologies advanced. It also discusses using phylogeny in metagenomic analysis, providing an example of the STAP pipeline which uses phylogenetic placement of genes in a reference tree to classify sequences.
This document discusses the evolution of metagenomics from culturing microorganisms to direct high-throughput sequencing using next-generation sequencing (NGS) technologies. It describes how early metagenomics relied on cloning environmental DNA into libraries for Sanger sequencing, but NGS allows direct sequencing without cloning. NGS produces large volumes of sequence data at low cost, enabling assembly of large DNA fragments and reliable annotation of genes and pathways. The future of metagenomics involves comprehensively cataloging human and environmental microbiomes using NGS and exploiting microbial diversity for biotechnology applications like enzymes, antibiotics, and probiotics.
Dr. Ben Hause - Pathogen Discovery Using Metagenomic SequencingJohn Blue
Pathogen Discovery Using Metagenomic Sequencing - Dr. Ben Hause, College of Veterinary Medicine, Kansas State University, from the 2016 Allen D. Leman Swine Conference, September 17-20, 2016, St. Paul, Minnesota, USA.
More presentations at http://www.swinecast.com/2016-leman-swine-conference-material
Metagenomics is the study of genetic material recovered directly from environmental samples without culturing organisms. It allows researchers to study the 99.9% of microorganisms that cannot be cultured. Metagenomic analyses of ocean samples revealed over a million new genes and unexpected light-energy pathways in bacteria. Metagenomics has two main approaches - sequence-driven which sequences DNA and compares to databases, and function-driven which screens DNA clones for a desired function. Both approaches have limitations but are complementary. Metagenomics has applications in discovering new antibiotics and enzymes and studying human microbiomes and antibiotic resistance.
K-mers in metagenomics
K-mers play a critical role in the exploration of metagenomic data. They have been widely used to assign taxonomic attributions to the short genomic fragments characteristic of shotgun (metagenomic) sequencing. These approaches provide an assembly-free method for profiling microbial communities, and have helped elucidate the factors driving microbial community composition across biogeochemical gradients. Advances in sequencing technology are now making it cost-effective to sequence microbial communities at sufficient depths to allow for the assembly of high-quality contigs. This has made it possible to adopt k-mer based approaches to enable reliable binning of contigs originating from a single microbial population within a community. In this session, I will present both an overview of how k-mers can be used to assign taxonomic attributions to short metagenomic reads, and discuss how these approaches have advanced to a point where population genomes can be recovered en masse from even complex microbial communities.
Metagenomic Data Provenance and Management using the ISA infrastructure --- o...Alejandra Gonzalez-Beltran
Metagenomic Data Provenance and Management using the ISA infrastructure - overview, implementation patterns & software tools
Slides presented at EBI Metagenomics Bioinformatics course: http://www.ebi.ac.uk/training/course/metagenomics2014
1. The document discusses metagenomics research on the human gut microbiome using a gene-centric approach.
2. It involves sequencing microbial DNA from gut samples to identify genes and characterize functional profiles of the microbiome.
3. Analysis of Japanese gut microbiome samples identified over 600,000 genes, including many novel to the gut microbiome, providing insight into microbiome composition and functions.
Metagenomics is the study of genomic material obtained directly from environmental samples rather than from isolated cultures. It allows researchers to study the 99% of microorganisms that cannot be cultured using traditional methods. There are two main approaches - sequence-driven metagenomics sequences environmental DNA and compares taxonomic relationships, while function-driven metagenomics expresses cloned genes to compare metabolic relationships and discover new enzymes/chemicals. Metagenomics has been applied to study microbes in ocean water, human gut, acid mine drainage and more extreme habitats, identifying novel genes and furthering understanding of microbial communities. Future applications include discovering new antibiotics and enzymes, studying human microbiomes and antibiotic resistance.
Next Generation Sequencing of Fish Microbiome- AquaCyprus 2014Mahdi Ghanbari
This document discusses high-throughput sequencing and metagenomics and its application to analyzing fish microbiomes. It begins by explaining the importance of the fish gut microbiome and then describes how next-generation sequencing techniques allow for more in-depth and accurate analysis of the fish microbiome compared to traditional culturing and Sanger sequencing. Several NGS platforms are presented, and examples are given of how NGS can be applied to study the effect of dietary and environmental factors on the fish gut microbiome. The conclusion states that NGS provides a promising strategy for gaining in-depth knowledge of the fish gut microbiome to improve fish management and future applications.
This document discusses a presentation on microbiome identification and characterization technologies. It begins with an introduction to the human microbiome and catalogs our "second genome". It then discusses how technologies like 16S rRNA sequencing and metagenomics have unlocked the ability to study the microbiome. Population studies of microbiome composition and disease associations are also reviewed. The presentation goes on to provide examples of how to design assays to identify and profile relevant microbiome targets, and discusses solutions for identification and profiling in microbiome research.
Metagenomics is the study of genetic material recovered directly from environmental samples. It provides a new approach to studying microbes that are not easily cultured in a laboratory and enables investigation of microbial communities in their natural habitats. Metagenomics involves directly extracting DNA from samples, sequencing it, and analyzing the genetic information obtained from entire communities of organisms simultaneously. This provides insights into uncultured microbes and their roles in various environments.
Identification of antibiotic resistance genes in Klebsiella pneumoniae isolat...QIAGEN
This document describes a study that developed and validated a real-time PCR array to identify 87 antibiotic resistance genes from bacterial isolates and metagenomic samples. The array was used to profile resistance genes in Klebsiella pneumoniae isolates and human stool samples. A variety of resistance genes were detected, including SHV, KPC, ermB, mefA and tetA. The PCR array results were confirmed using pyrosequencing and shown to be effective for monitoring the spread of antibiotic resistance.
This document provides an introduction to metagenomics. It defines metagenomics as the study of microbial communities directly in their natural environments using modern genomics techniques. The document outlines the historical context and basic purpose of metagenomics. It describes some of the applications of metagenomics, such as understanding the human microbiome, bioremediation, bioenergy production, and smart farming. Finally, it introduces some basic concepts in metagenomics analysis including binning, OTUs, alpha and beta diversity measurements, and challenges around estimating diversity from samples.
VHIR Seminar led by Joel Doré. Research Director. Institut National de la Recherche Agronomique (INRA). Jouy-en-Josas, France.
Abstract: The human intestinal tract harbours a complex microbial ecosystem which plays a key role in nutrition and health. Interactions between food constituents, microbes and the host organism derive from a long co-evolution that resulted in a mutualistic association.
Current investigations into the human faecal metagenome are delivering an extensive gene repertoire representative of functional potentials of the human intestinal microbiota. The most redundant genomic traits of the human intestinal microbiota are identified and thereby its functional balance. These observation point towards the existence of enterotypes, i.e. microbiota sharing specific traits but yet independent of geographic origin, age, sex etc.. It also shows a unique segregation of the human population into individuals with low versus high gene-counts. In the end, it not only gives an unprecedented view of the intestinal microbiota, but it also significantly expands our ability to look for specificities of the microbiota associated with human diseases and to ultimately validate microbial signatures of prognostic and diagnostic value in immune mediated diseases.
Metagenomics of the human intestinal tract was applied to specifically compare obese versus lean individuals as well as to explore the dynamic changes associated with a severe calory-restricted diet. Microbiota structure differs with body-mass index and a limited set of marker species may be used as diagnostic model with a >85% predictive value. Among obese subjects; the overall phenotypic characteristics are worse in individuals with low gene counts microbiota, including a worse evolution of morphometric parameters over a period of 10 years, a low grade inflammatory context also associated with insulin-resistance, and the worst response to dietary constraints in terms of weight loss or improvement of biological and inflammatory characteristics. Low gene count microbiota is also associated with less favourable conditions in inflammatory bowel disease, such as higher relapse rate in ulcerative colitis patients.
Finally, microbiota transplantation has seen a regain of interest with applications expanding from Clostridium difficile infections to immune mediated and metabolic diseases.
The human intestinal microbiota should hence be regarded as a true organ, amenable to rationally designed modulation for human health.
Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by...Spark Summit
This document discusses using Apache Spark to assemble metagenomes from short read sequencing data. Metagenomes are genomes from microbial communities containing many species. Spark provides an efficient and scalable approach compared to previous methods. The document demonstrates clustering reads from small test datasets in Spark and evaluates performance on real datasets ranging from 20GB to failures at 100GB. While Spark is easy to develop for and efficient, challenges remain in robustness at large scales and optimizing for different problem complexities.
08.04.14
Invited Talk
National Astrobiology Institute Executive Council Meeting
Astrobiology Science Conference 2008
Santa Clara Convention Center
Title: High Performance Collaboration
Santa Clara, CA
Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analys...Larry Smarr
06.03.13
Invited Keynote
Annual Meeting CENIC 2006
Title: Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA)
Oakland, CA
Creating a Community Cyberinfrastructure for Advanced Marine Microbial Ecolog...Larry Smarr
09.03.18
Invited Talk
Honoring David Kingsbury
Gordon and Betty Moore Foundation
Title: Creating a Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (a.k.a. CAMERA)
Palo Alto, CA
Building an Information Infrastructure to Support Microbial Metagenomic SciencesLarry Smarr
06.01.14
Presentation for the Microbe Project Interagency Team
Title: Building an Information Infrastructure to Support Microbial Metagenomic Sciences
La Jolla, CA
Calit2 - CSE's Living Laboratory for ApplicationsLarry Smarr
08.05.27
UCSD CSE 91 - Perspectives in Computer Science (Spring 2008)
Calit2@UCSD
Title: Calit2 - CSE's Living Laboratory for Applications
La Jolla, CA
High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Res...Larry Smarr
08.06.16
Invited Talk
Association of University Research Parks BioParks 2008
"From Discovery to Innovation"
Salk Institute
Title: High Performance Cyberinfrastructure to Support Data-Intensive Biomedical Research Instruments
La Jolla, CA
The document discusses emerging trends at the convergence of engineering, biology, physics, and information technology including:
1) LifeChips that merge microelectronics and life sciences allowing medical devices to interface with living systems at the nanoscale.
2) Nanotechnology applications such as nano-structured porous silicon for cancer treatment and nanosensors integrated on a single chip.
3) Building computational models of organisms like E. Coli and using optical networks to interactively view genomic data at high resolutions.
4) Global research collaborations enabled by dedicated high-speed optical networks supporting applications like marine metagenomics and digital cinema telepresence.
Metagenomics Over Lambdas: Update on the CAMERA ProjectLarry Smarr
07.02.27
Invited Talk
6th Annual ON*VECTOR International Photonics Workshop
Title: Metagenomics Over Lambdas: Update on the CAMERA Project
La Jolla, CA
Bringing Mexico Into the Global LambdaGridLarry Smarr
The document discusses plans to establish a high-bandwidth optical network connection between the California Institute for Telecommunications and Information Technology (Calit2) in the United States and the Center for Scientific Research and Higher Education of Ensenada (CICESE) in Mexico. It describes several visits and collaborations between the institutions over recent years to develop the connection. The goal is to integrate CICESE into Calit2's global OptIPuter network to enable bandwidth-intensive international research collaborations over dedicated optical lambdas.
Coupling Australia’s Researchers to the Global Innovation EconomyLarry Smarr
08.10.15
Eighth Lecture in the
Australian American Leadership Dialogue Scholar Tour
Australian National University
Title: Coupling Australia’s Researchers to the Global Innovation Economy
Canberra, Australia
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My Remembrances of Mike Norman Over The Last 45 YearsLarry Smarr
Mike Norman has been a leader in computational astrophysics for over 45 years. Some of his influential work includes:
- Cosmic jet simulations in the early 1980s which helped explain phenomena from galactic centers.
- Pioneering the use of adaptive mesh refinement in the 1990s to achieve dynamic load balancing on supercomputers.
- Massive cosmology simulations in the late 2000s with over 100 trillion particles using thousands of processors across multiple supercomputing sites, producing petabytes of data.
- Developing end-to-end workflows in the 2000s to couple supercomputers, high-speed networks, and large visualization systems to enable real-time analysis of extremely large astrophysics simulations.
Metagenics How Do I Quantify My Body and Try to Improve its Health? June 18 2019Larry Smarr
Larry Smarr discusses quantifying his body and health over time through extensive self-tracking. He measures various biomarkers through regular blood tests and analyzes his gut microbiome by sequencing stool samples. This revealed issues like chronic inflammation and an unhealthy microbiome. Smarr then took steps like a restricted eating window and increasing plant diversity in his diet, which reversed metabolic syndrome issues and correlated with shifts in his microbiome ecology. His goal is to continue precisely measuring factors like toxins, hormones, gut permeability and food/supplement impacts to further optimize his health.
Panel: Reaching More Minority Serving InstitutionsLarry Smarr
This document discusses engaging more minority serving institutions (MSIs) in cyberinfrastructure development through regional networks. It provides data showing the importance of MSIs like historically black colleges and universities (HBCUs) in educating underrepresented minority students in STEM fields. Regional networks can help equalize opportunities by assisting MSIs in overcoming barriers to resources through training, networking infrastructure support, and helping institutions obtain necessary staffing and funding. Strategies mentioned include collaborating with MSIs on grants and addressing issues identified in surveys like lack of vision for data use beyond compliance. The goal is to broaden participation in STEAM fields by leveraging the success MSIs have shown in supporting underrepresented students.
Global Network Advancement Group - Next Generation Network-Integrated SystemsLarry Smarr
This document summarizes a presentation on global petascale to exascale workflows for data intensive sciences. It discusses a partnership convened by the GNA-G Data Intensive Sciences Working Group with the mission of meeting challenges faced by data-intensive science programs. Cornerstone concepts that will be demonstrated include integrated network and site resource management, model-driven frameworks for resource orchestration, end-to-end monitoring with machine learning-optimized data transfers, and integrating Qualcomm's GradientGraph with network services to optimize applications and science workflows.
Wireless FasterData and Distributed Open Compute Opportunities and (some) Us...Larry Smarr
This document discusses opportunities for ESnet to support wireless edge computing through developing a strategy around self-guided field laboratories (SGFL). It outlines several potential science use cases that could benefit from wireless and distributed computing capabilities, both in the short term through technologies like 5G, LoRa and Starlink, and longer term through the vision of automated SGFL. The document proposes some initial ideas for deploying and testing wireless edge computing technologies through existing projects to help enable the SGFL vision and further scientific opportunities. It emphasizes that exploring these emerging areas could help drive new science possibilities if done at a reasonable scale.
The Asia Pacific and Korea Research Platforms: An Overview Jeonghoon MoonLarry Smarr
This document provides an overview of Asia Pacific and Korea research platforms. It discusses the Asia Pacific Research Platform working group in APAN, including its objectives to promote HPC ecosystems and engage members. It describes the Asi@Connect project which provides high-capacity internet connectivity for research across Asia-Pacific. It also discusses the Korea Research Platform and efforts to expand it to 25 national research institutes in Korea. New related projects on smart hospitals, agriculture, and environment are mentioned. The conclusion discusses enhancing APAN and the Korea Research Platform and expanding into new areas like disaster and AI education.
Panel: Reaching More Minority Serving InstitutionsLarry Smarr
This document discusses engaging more minority serving institutions (MSIs) in the National Research Platform (NRP). It provides data showing that MSIs serve a disproportionate number of underrepresented minority students and are important producers of STEM graduates from these groups. The NRP can help broaden participation in STEAM fields by providing MSIs access to advanced cyberinfrastructure resources, new learning modalities, and opportunities for collaborative research between MSIs and other institutions. Regional networks also have a role to play in helping MSIs overcome barriers and attracting them to collaborative grants. The goal is to tear down walls between research and teaching and reinvent the university experience for more inclusive learning and innovation.
Panel: The Global Research Platform: An OverviewLarry Smarr
The document provides an overview of the Global Research Platform (GRP), an international collaborative partnership creating a distributed environment for data-intensive global science. The GRP facilitates high-performance data gathering, analytics, transport up to terabits per second, computing, and storage to support large-scale global science cyberinfrastructure ecosystems. It aims to orchestrate research across multiple domains using international testbeds for investigating new technologies related to data-intensive science. Examples of instruments generating exabytes of data that would benefit include the Korea Superconducting Tokamak, the High Luminosity LHC, genomics, the SKA radio telescope, and the Vera Rubin Observatory.
Panel: Future Wireless Extensions of Regional Optical NetworksLarry Smarr
CENIC is a non-profit organization that operates an 8,000+ mile fiber optic network connecting over 12,000 sites across California, including K-12 schools, universities, libraries, and research organizations. It has over 750 private sector partners and contributes over $100 million annually to the California economy. CENIC's network enables research and education collaborations, innovation, and economic growth statewide. It also operates a wireless research network called PRP that connects wireless sensors to supercomputers, supporting applications like wildfire modeling.
Global Research Platform Workshops - Maxine BrownLarry Smarr
The document announces a workshop on global research platforms that will be held virtually in 2021 and in Salt Lake City in 2022, with topics including large-scale science, next-generation platforms, data transport, and international testbeds. It also announces the 4th Global Research Platform Workshop to be held in October 2023 in Limassol, Cyprus co-located with the IEEE eScience 2023 conference.
EPOC and NetSage provide engagement and network monitoring services to support research and education. NetSage collects anonymized network flow data to help understand traffic patterns and troubleshoot performance issues. It provides dashboards and analysis to answer common questions from network engineers and end users. Examples of NetSage deployments and use cases were shown for the CENIC network, including top sources and destinations of traffic, debugging slow flows, and analyzing international traffic patterns by country over time.
The document discusses accelerating science discovery with AI inference-as-a-service. It describes showcases using this approach for high energy physics and gravitational wave experiments. It outlines the vision of the A3D3 institute to unite domain scientists, computer scientists, and engineers to achieve real-time AI and transform science. Examples are provided of using AI inference-as-a-service to accelerate workflows for CMS, ProtoDUNE, LIGO, and other experiments.
Democratizing Science through Cyberinfrastructure - Manish ParasharLarry Smarr
This document summarizes a presentation by Manish Parashar on democratizing science through cyberinfrastructure. The key points are:
1) Broad, fair, and equitable access to advanced cyberinfrastructure is essential for democratizing 21st century science, but there are significant barriers related to knowledge, technical issues, social factors, and balancing capabilities.
2) An advanced cyberinfrastructure ecosystem for all requires integrated portals, access to local and national resources through high-speed networks, diverse allocation modes, embedded expertise networks, and broad training.
3) Realizing this vision will require a scalable federated ecosystem with diverse capabilities and incentives for partnerships to meet growing needs for cyberinfrastructure and
Panel: Building the NRP Ecosystem with the Regional Networks on their Campuses;Larry Smarr
This document summarizes a panel discussion on building the National Research Platform ecosystem with regional networks. The panelists discussed how their regional networks are connecting to and using the Nautilus nodes of the NRP. Examples included using NRP for deep learning and computer vision research at the University of Missouri, challenges of adoption in Nevada and potential solutions, and Georgia Tech's new involvement through the Southern Crossroads regional network. The regional networks see opportunities to expand NRP access and training to enable more researchers in their regions to take advantage of the platform.
Open Force Field: Scavenging pre-emptible CPU hours* in the age of COVID - Je...Larry Smarr
The document discusses Open Force Field (OpenFF), an open-source project that enables rapid development of molecular force fields through automated infrastructure, open data and software, and an open science approach. OpenFF provides access to large quantum chemical datasets, runs quantum chemistry calculations on pre-emptible cloud resources with minimal human intervention, and facilitates easy iteration and testing of new force field hypotheses through an open development model.
Panel: Open Infrastructure for an Open Society: OSG, Commercial Clouds, and B...Larry Smarr
The document discusses open infrastructure for an open society and the role of commercial clouds. It describes how the National Research Platform (NRP), Open Science Grid (OSG), and Open Science Data Federation (OSDF) provide open infrastructure through open source components that anyone can contribute to and use. It then discusses how Southwestern Oklahoma State University leveraged NRP resources on their campus and engaged students and local teachers. Finally, it outlines the pros and cons of commercial clouds, when they may be suitable to use, and how tools like CloudBank and Kubernetes can help facilitate science users' access to cloud resources.
Panel: Open Infrastructure for an Open Society: OSG, Commercial Clouds, and B...Larry Smarr
The document discusses open infrastructure for an open society and the role of commercial clouds. It describes how the National Research Platform (NRP), Open Science Grid (OSG), and Open Science Data Federation (OSDF) provide open infrastructure through open source components that anyone can contribute to and use. It then discusses how Southwestern Oklahoma State University leveraged NRP resources on their campus and engaged students and local teachers. Finally, it outlines the pros and cons of commercial clouds, noting they provide huge capacity and variety but are very expensive for regular use. Facilitating science users on clouds requires services like CloudBank and Kubernetes federation.
Panel: Open Infrastructure for an Open Society: OSG, Commercial Clouds, and B...Larry Smarr
The document discusses open infrastructure for an open society and the role of commercial clouds. It describes how the National Research Platform (NRP), Open Science Grid (OSG), and Open Science Data Federation (OSDF) provide open infrastructure through open source components that anyone can contribute to and use. It then discusses how Southwestern Oklahoma State University leveraged NRP resources on their campus and engaged students and local teachers. Finally, it outlines the pros and cons of commercial clouds, noting they provide huge capacity and variety but are very expensive for regular use. Facilitating science users on clouds requires tools for account management, documentation, and integrating cloud resources through HTCondor and Kubernetes.
Frank Würthwein - NRP and the Path forwardLarry Smarr
NRP will replace PRP and aims to democratize access to national research cyberinfrastructure. The long term vision is to create an open national cyberinfrastructure by federating resources across research institutions. Key innovations include an innovative network fabric, application libraries for FPGAs, a "bring your own resource" model, and innovative scheduling and data infrastructure. The NSF has funded the Prototype National Research Platform project to support NRP for the next 5 years. NRP aims to grow resources, introduce new capabilities, and be driven by the research community.
1. Advancing the Metagenomics Revolution Invited Talk Symposium #1816, Managing the Exaflood: Enhancing the Value of Networked Data for Science and Society San Diego, CA February 2010 Dr. Larry Smarr Director, California Institute for Telecommunications and Information Technology Harry E. Gruber Professor, Dept. of Computer Science and Engineering Jacobs School of Engineering, UCSD [email_address]
2. Abstract The vast majority of life on earth is microbial. Virtually all ecologies rely on the intricate biochemistry of microbial life to sustain themselves. Historically most research on microbes depended on laboratory cultures, but since 99% of microbes cannot be cultured, it is only recently that modern genetic sequencing techniques have allowed determination of the hundreds to thousands of microbial species present at a specific environmental location. The amount of data specifying the “metagenomics” of these microbial ecologies is explosively growing as researchers everywhere are acquiring next generation sequencing devices. Since many genes are related across microbial species, the community needs repositories in which diverse environmental metagenomics samples can be quickly compared, both by comparing genomic data or environmental metadata. I will give a quantitative example of the computing, storage, software, and networking architecture needed to handle this exponentially growing data flood by describing the Gordon and Betty Moore Foundation funded Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA) which is hosted by Calit2@UCSD. The CAMERA repository currently contains over 500 microbial metagenomics datasets (including Craig Venter’s Global Ocean Survey), as well as the full genomes of ~166 marine microbes. Registered end users, over 3000 from 70 countries, can access existing and contribute new metagenomics data either via the web or over novel dedicated 10 Gb/s light paths. The user’s BLAST requests transparently activate programs on dedicated and shared parallel computing resources at UCSD. To better support the CAMERA user community, we developed a new component-based cyberinfrastructure, CAMERA Version 2.0. This new cyberinfrastructure will support future needs for data acquisition, data access through diverse modalities, the addition of externally developed tools, and the orchestration of these tools into reproducible analytical pipelines. The management of remote applications and analyses is accomplished via the Kepler workflow engine which supports the natural interaction of automated computational tools that can then be re-utilized and openly shared. Finally, CAMERA 2.0 includes an effective, flexible, and intuitive user interface that facilitates and enhances the process of collaborative scientific discovery for biosciences. I will conclude by examining future trends in metagenomics data generation, data standardization, and the possible use of cloud computing and storage.
3. Most of Evolutionary Time Was in the Microbial World Source: Carl Woese, et al Tree of Life Derived from 16S rRNA Sequences You Are Here
4. The New Science of Metagenomics “ The emerging field of metagenomics, where the DNA of entire communities of microbes is studied simultaneously, presents the greatest opportunity -- perhaps since the invention of the microscope – to revolutionize understanding of the microbial world.” – National Research Council March 27, 2007 NRC Report: Metagenomic data should be made publicly available in international archives as rapidly as possible.
5. Enormous Increase in Scale of Known Genes Over Last Decade 6.3 Billion Bases 5.6 Million Genes 1.8 Million Bases 1749 Genes ~3300x 1995 First Microbe Genome 2007 Ocean Microbial Metagenomics
7. Calit2 Microbial Metagenomics Cluster- Next Generation Optically Linked Science Data Server 512 Processors ~5 Teraflops ~ 200 Terabytes Storage 1GbE and 10GbE Switched/ Routed Core ~200TB Sun X4500 Storage 10GbE Source: Phil Papadopoulos, SDSC, Calit2
8. Marine Genome Sequencing Project – CAMERA Anchor Dataset Launched March 13, 2007 Measuring the Genetic Diversity of Ocean Microbes Specify Ocean Data Each Sample ~2000 Microbial Species
9. Moore Foundation Enabled the Sequencing of the Full Genome Sequence of 155+ Marine Microbes www.moore.org/microgenome
10. CAMERA Houses the Community’s Expanding Environmental Metagenomics Datasets Rapidly Expanding to Include New Community Datasets Now Releasing An Additional Dataset Per Week! March 16, 2008
12. The CAMERA Project Has Established a Global Marine Microbial Metagenomics Cyber-Community 3387 Registered Users From Over 75 Countries
13. Creating CAMERA 2.0 - Advanced Cyberinfrastructure Service Oriented Architecture Source: CAMERA CTO Mark Ellisman
14. Metagenomic Data Ingestion Growing Rapidly! * All the reference datasets including newly released “All NCBI Environmental Samples (ENV_NT) were not counted Number of reads Number of base pairs CAMERA 1 st release (Mar. 2006) 8.23m 8.67b CAMERA 1.3 (Dec. 2008) 13.42m 12.35b CAMERA (Jul. 2009) 36.97m 19.27b CAMERA * (Dec. 2009) 47.87m 22.08b
15. Prototyping a Data Acquisition Pipeline: A New Data Submission Paradigm-Metadata First! Metadata now collected before sequence data: GSC-compliant Project-ID serves as acceptance-proof Sample is Received and Sequenced Solexa and SOLiD Next! Webb Miller and Stephan C. Schuster, and Roche / 454 Genome Sequencer Source: Paul Gilna, Calit2 Investigator submits proposal to GBMF Investigator submits metadata to CAMERA CAMERA sends acknowledgement to Investigator, Seq. Group, GBMF Seq. Group send barcoded sample “kit” to investigators Seq. Group Upload data to CAMERA (& Investigator) Data & Metadata Released in six months
16. Conceptual Architecture to Physically Connect Campus Resources Using Fiber Optic Networks UCSD Storage OptIPortal Research Cluster Digital Collections Manager PetaScale Data Analysis Facility HPC System Cluster Condo UC Grid Pilot Research Instrument N x 10Gbps Source:Phil Papadopoulos, SDSC/Calit2 DNA Arrays, Mass Spec., Microscopes, Genome Sequencers
17. The OptIPuter Project: Creating High Resolution Portals Over Dedicated Optical Channels to Global Science Data Picture Source: Mark Ellisman, David Lee, Jason Leigh Calit2 (UCSD, UCI), SDSC, and UIC Leads—Larry Smarr PI Univ. Partners: NCSA, USC, SDSU, NW, TA&M, UvA, SARA, KISTI, AIST Industry: IBM, Sun, Telcordia, Chiaro, Calient, Glimmerglass, Lucent Now in Sixth and Final Year Scalable Adaptive Graphics Environment (SAGE)
18. Visual Analytics--Use of Tiled Display Wall OptIPortal to Interactively View Microbial Genome (5 Million Bases) Acidobacteria bacterium Ellin345 Soil Bacterium 5.6 Mb; ~5000 Genes Source: Raj Singh, UCSD
19. Use of Tiled Display Wall OptIPortal to Interactively View Microbial Genome Source: Raj Singh, UCSD
20. Use of Tiled Display Wall OptIPortal to Interactively View Microbial Genome Source: Raj Singh, UCSD
21. MIT’s Ed DeLong and Darwin Project Team Using OptIPortal to Analyze 10km Ocean Microbial Simulation cross-disciplinary research at MIT, connecting systems biology, microbial ecology, global biogeochemical cycles and climate
22. Prototyping Next Generation User Access and Analysis- Between Calit2 and U Washington Ginger Armbrust’s Diatoms: Micrographs, Chromosomes, Genetic Assembly Photo Credit: Alan Decker Feb. 29, 2008 iHDTV: 1500 Mbits/sec Calit2 to UW Research Channel Over NLR
This is a production cluster with it’s own Force10 e1200 switch. It is connected to quartzite and is labeled as the “CAMERA Force10 E1200”. We built CAMERA this way because of technology deployed successfully in Quartzite