This document summarizes a presentation on mouse genomic variation and its effect on phenotypes and gene regulation. It discusses the Mouse Genomes Project which sequenced 18 laboratory mouse strains to catalog genetic variants like SNPs and structural variations. It also analyzed RNA-sequencing data to identify over 36,000 candidate RNA editing sites, with most being adenosine-to-inosine edits. Some edits were found to alter protein coding sequences or be conserved across species, potentially impacting gene regulation and phenotypes.
Assessment of Genetic Diversity in Wheat Genotypes by using ISSR Molecular Ma...Asif Shaikh
This document describes a study that assessed genetic diversity in wheat genotypes using ISSR molecular marker analysis. Twenty-two wheat genotypes were collected and genomic DNA was extracted and quantified. Fifteen ISSR primers were used to amplify DNA fragments via PCR. The amplified fragments were resolved via gel electrophoresis and statistically analyzed to calculate genetic similarity and construct a dendrogram showing relationships between genotypes. The study found DNA concentrations ranged from 198-700 ng/μl and ISSR analysis revealed genetic diversity among the wheat lines.
The document discusses clinical applications of next generation sequencing (NGS), specifically a test called NIFTY (Non-Invasive Fetal TrisomY). NIFTY uses NGS and bioinformatics to analyze cell-free fetal DNA in maternal plasma to evaluate the likelihood of fetal trisomy 21, 18, and 13. Clinical validation studies showed NIFTY has a detection rate over 99.9% for these trisomies with a low false positive rate. NIFTY provides a safe, non-invasive prenatal screening alternative to invasive diagnostic tests.
NGS has enabled high-throughput genome sequencing and analysis, changing genomic research. Technologies like Roche 454, Solexa/Illumina, and SOLiD allow massively parallel sequencing of genomes. NGS has applications in de novo genome sequencing, resequencing, RNA-seq, ChIP-seq, methylation analysis, and more. It provides advantages over microarrays like detecting novel transcripts, splicing variants, and sequence variations. NGS data requires processing including quality control, mapping, and variant identification to realize its full potential to revolutionize genomic research and medicine.
This document summarizes trends in DNA sequencing methods and applications. It discusses the purpose and historical methods of DNA sequencing, including the Maxam-Gilbert and Sanger methods. Next generation sequencing methods like Roche 454, Illumina, SOLiD, Ion Torrent, and PacBio are described. Applications of sequencing include analyzing gene structure, detecting mutations, microbial identification, and whole genome sequencing. The document provides details on sequencing techniques, platforms, yields, and error rates.
Use of TGIRT for ssDNA-seq of cfDNA in human plasmaDouglas Wu
This document summarizes research using thermostable group II intron reverse transcriptase (TGIRT) to sequence single-stranded DNA from cell-free DNA in human plasma. TGIRT enables an efficient library preparation method called TGIRT-seq. Studies have shown TGIRT-seq can identify tissue-specific nucleosome positioning and DNA methylation patterns in cfDNA, providing information about the tissue of origin. TGIRT-seq is applicable to other damaged DNA samples and could allow DNA/RNA co-sequencing. The research is supported by NIH and Welch Foundation grants and involves collaboration between Lambowitz's lab and GSAF/RCTF groups.
Introduction to second generation sequencingDenis C. Bauer
An introduction to second generation sequencing will be given with focus on the basic production informatics: The approach of raw data conversion and quality control will be discussed.
This document summarizes a presentation on mouse genomic variation and its effect on phenotypes and gene regulation. It discusses the Mouse Genomes Project which sequenced 18 laboratory mouse strains to catalog genetic variants like SNPs and structural variations. It also analyzed RNA-sequencing data to identify over 36,000 candidate RNA editing sites, with most being adenosine-to-inosine edits. Some edits were found to alter protein coding sequences or be conserved across species, potentially impacting gene regulation and phenotypes.
Assessment of Genetic Diversity in Wheat Genotypes by using ISSR Molecular Ma...Asif Shaikh
This document describes a study that assessed genetic diversity in wheat genotypes using ISSR molecular marker analysis. Twenty-two wheat genotypes were collected and genomic DNA was extracted and quantified. Fifteen ISSR primers were used to amplify DNA fragments via PCR. The amplified fragments were resolved via gel electrophoresis and statistically analyzed to calculate genetic similarity and construct a dendrogram showing relationships between genotypes. The study found DNA concentrations ranged from 198-700 ng/μl and ISSR analysis revealed genetic diversity among the wheat lines.
The document discusses clinical applications of next generation sequencing (NGS), specifically a test called NIFTY (Non-Invasive Fetal TrisomY). NIFTY uses NGS and bioinformatics to analyze cell-free fetal DNA in maternal plasma to evaluate the likelihood of fetal trisomy 21, 18, and 13. Clinical validation studies showed NIFTY has a detection rate over 99.9% for these trisomies with a low false positive rate. NIFTY provides a safe, non-invasive prenatal screening alternative to invasive diagnostic tests.
NGS has enabled high-throughput genome sequencing and analysis, changing genomic research. Technologies like Roche 454, Solexa/Illumina, and SOLiD allow massively parallel sequencing of genomes. NGS has applications in de novo genome sequencing, resequencing, RNA-seq, ChIP-seq, methylation analysis, and more. It provides advantages over microarrays like detecting novel transcripts, splicing variants, and sequence variations. NGS data requires processing including quality control, mapping, and variant identification to realize its full potential to revolutionize genomic research and medicine.
This document summarizes trends in DNA sequencing methods and applications. It discusses the purpose and historical methods of DNA sequencing, including the Maxam-Gilbert and Sanger methods. Next generation sequencing methods like Roche 454, Illumina, SOLiD, Ion Torrent, and PacBio are described. Applications of sequencing include analyzing gene structure, detecting mutations, microbial identification, and whole genome sequencing. The document provides details on sequencing techniques, platforms, yields, and error rates.
Use of TGIRT for ssDNA-seq of cfDNA in human plasmaDouglas Wu
This document summarizes research using thermostable group II intron reverse transcriptase (TGIRT) to sequence single-stranded DNA from cell-free DNA in human plasma. TGIRT enables an efficient library preparation method called TGIRT-seq. Studies have shown TGIRT-seq can identify tissue-specific nucleosome positioning and DNA methylation patterns in cfDNA, providing information about the tissue of origin. TGIRT-seq is applicable to other damaged DNA samples and could allow DNA/RNA co-sequencing. The research is supported by NIH and Welch Foundation grants and involves collaboration between Lambowitz's lab and GSAF/RCTF groups.
Introduction to second generation sequencingDenis C. Bauer
An introduction to second generation sequencing will be given with focus on the basic production informatics: The approach of raw data conversion and quality control will be discussed.
Neurotech seminar ish wish 2014 madunaTando Maduna
This document discusses in vitro transcription and fluorescent in situ hybridization (FISH) techniques for visualizing gene expression in tissue samples. It describes the process of designing gene-specific primers, amplifying the gene of interest via PCR, synthesizing fluorescently-labeled RNA probes from the PCR product, hybridizing the probes to tissue samples, and using fluorescence microscopy to visualize where in the tissue the gene is expressed at a cellular level. The document provides technical details on each step of the process and discusses ways to optimize and troubleshoot the technique.
Next-generation sequencing techniques such as Illumina and 454 pyrosequencing were discussed for applications including microbial genome sequencing and metagenomic profiling of microbial communities from targeted gene markers or shotgun sequencing. Key steps include library preparation, sequencing, and downstream bioinformatics analysis of sequencing data for tasks like genome assembly, gene annotation, and taxonomic classification of microbial taxa.
Presentation carried out by Sergi Beltran Agulló, from the CNAG, at the course: Identification and analysis of sequence variants in sequencing projects: fundamentals and tools .
This tutorial provides an overview of working with next-generation sequencing data, including quality control, alignment, and variation analysis. It covers topics such as next-gen sequencing technologies and applications, quality control measures, short read alignment algorithms and tools, sequence assembly methods, and calling variants from sequencing data. The tutorial is presented by Thomas Keane and Jan Aerts at the 9th European Conference on Computational Biology.
This document discusses the history and evolution of DNA sequencing technologies. It begins with early manual sequencing methods developed in the 1970s by Sanger and others. Automated Sanger sequencing and the sequencing of larger genomes followed in the 1980s-1990s. Next generation sequencing (NGS) methods were developed starting in 1996 and became commercially available in 2005, enabling massively parallel sequencing. NGS platforms such as 454, Illumina, and SOLiD are discussed. Third generation real-time sequencing methods such as PacBio and nanopore sequencing are also introduced, providing longer read lengths. The document compares key parameters of different sequencing methods such as read length, accuracy, throughput, cost and advantages/disadvantages.
Course: Bioinformatics for Biomedical Research (2014).
Session: 2.1.1- Next Generation Sequencing. Technologies and Applications. Part I: NGS Introduction and Technology Overview.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
Next-generation sequencing and quality control: An Introduction (2016)Sebastian Schmeier
This lecture is part is an introductory bioinformatics workshop. It gives a background to what sequencing is, what the results of a sequencing experiment are, how to assess the quality of a sequencing run, what error sources exist and how to deal with errors. The accompanying websites are available at http://sschmeier.com/bioinf-workshop/
Next-generation genomics: an integrative approachHong ChangBum
This document summarizes a presentation on next-generation genomics and integrative analysis. It discusses the types of genomic data available from techniques like genome sequencing, RNA sequencing, ChIP-seq, and epigenomics. It explains that integrative analysis can help annotate functional features, infer variant function, and understand gene regulation. Approaches to integration include data reduction, unsupervised clustering, and supervised Bayesian networks. Large-scale datasets can be accessed through browsers, add-ons, and standalone tools to generate novel hypotheses. Future work includes more integrated community resources with search capabilities.
Molecular QC: Interpreting your Bioinformatics PipelineCandy Smellie
What is the impact of assay failure in your laboratory and how do you monitor for it?
The most heavily degraded samples are not suitable for standard exome coverage: sometimes it’s not even a matter of getting bad sequencing, you might get nothing at all!
FFPE artifacts increase with storage time
Artifacts go against the statistical power of your variant calling analysis
Molecular reference standards help filter out bad mappings and spurious variants
Bioinformatics pipelines allow adding Molecular Reference Standards in your joint variant calling pipeline
Genome In A Bottle Reference Standards are invaluable for validating variant calling analysis
NIST and its collaborators shared datasets created with most NGS technologies
Horizon Diagnostics shared annotated, merged variant calls from NIST for the Ashkenazim Trio
~35K variants are predicted having high or moderate impact within the Trio
GM24385 (Ashkenazim Son) includes 352 small variants with high/moderate impact which are absent in Father and Mother
Routinely monitor the performance of your workflows and assays with independent external controls
RAPD is a molecular marker technique that analyzes genome variations by amplifying random DNA segments using short arbitrary primers in PCR. It can detect genetic polymorphisms by analyzing differences in PCR amplified DNA fragments from different genomes. The procedure involves extracting genomic DNA from samples, performing PCR with short random primers, separating amplified fragments on agarose gel, and analyzing banding patterns to detect polymorphisms. RAPD has applications in genetic mapping, DNA fingerprinting, and phylogenetic analysis, though it has lower reproducibility than other markers.
Data Management for Quantitative Biology - Data sources (Next generation tech...QBiC_Tue
Introduction to next generation sequencing (NGS); NGS data; data management of NGS data; third generation sequencing; NGS pipelines; NGS experimental design
RNA sequencing: advances and opportunities Paolo Dametto
This document summarizes recent advances in transcriptome analysis technologies. It discusses limitations of microarray-based approaches and how next-generation sequencing-based RNA-seq provides more comprehensive transcriptome profiling. RNA-seq can detect thousands of new transcript variants and isoforms. It also describes direct RNA sequencing without cDNA conversion, revealing polyadenylation profiles with single-molecule resolution. Comprehensive polyadenylation maps in human and yeast showed previously unannotated sites and alternative polyadenylation, providing insights into regulatory mechanisms.
Toolbox for bacterial population analysis using NGSMirko Rossi
This document provides an overview of tools and approaches for analyzing bacterial population genomics and evolution using next-generation sequencing (NGS) data. It discusses identifying variants from NGS reads using SNP-based or gene-by-gene approaches. It also covers assembly-free and assembly-based analyses, including tools for short-read assembly, pangenome alignment, core genome alignment, and ortholog clustering. Population genomics applications like cgMLST/wgMLST, population structure analysis, and recombination detection are also briefly introduced. The document aims to provide bacterial genomics researchers with a toolbox of software and strategies for population analysis using NGS data.
The document discusses RNA-seq analysis. It begins with an introduction to Mikael Huss, a bioinformatics scientist, and provides an overview of how genomics, RNA profiles, protein profiles, and interactomics relate within systems biology. The document then discusses how gene expression analysis can provide insights into basic research questions regarding tissue and cell identity, as well as insights into diseases by identifying genes that are over- or under-expressed in patients. Finally, it provides a brief overview of the typical workflow for RNA-seq analysis, which involves mapping RNA sequencing reads to a reference genome or transcriptome.
This document provides information about a QIIME workshop. It includes instructions on how to get started with QIIME, an overview of the typical QIIME analysis pipeline from raw sequencing data to results, and details on specific QIIME tools and files like the mapping file, OTU table, and parameters file. The document also discusses moving image analysis of the human microbiome using QIIME.
Apollo is a web-based application that supports and enables collaborative genome curation in real time, allowing teams of curators to improve on existing automated gene models through an intuitive interface. Apollo allows researchers to break down large amounts of data into manageable portions to mobilize groups of researchers with shared interests.
The i5K, an initiative to sequence the genomes of 5,000 insect and related arthropod species, is a broad and inclusive effort that seeks to involve scientists from around the world in their genome curation process, and Apollo is serving as the platform to empower this community.
This presentation is an introduction to Apollo for the members of the i5K Pilot Project working on species of the order Hemiptera.
The GeneArt® Gene Synthesis service consists of chemical synthesis, cloning, and sequence verification of virtually any desired genetic sequence. You will receive a bacterial stab and/or purified plasmid containing your synthesized gene—ready for downstream applications.
Whether you have limited cloning experience or simply want to save time, the GeneArt® Gene Synthesis service helps you move your ideas from the planning stage to the laboratory more quickly. Benefit from our experience in successfully producing over 180,000 constructs for customers as diverse as large pharmaceutical companies, biotechnology start-ups, and basic research institutions. The comparison shown in the figure below highlights the time and effort saved compared to traditional cloning. For more information visit:
https://www.invitrogen.com/site/us/en/home/Products-and-Services/Applications/Cloning/gene-synthesis.html?CID=genesynthesis-SS-12312
This document describes a DNA sequencing process. It begins with DNA extraction from an insect sample, followed by PCR and gel electrophoresis to amplify and isolate the target DNA fragment. The DNA is then sequenced using the dideoxy sequencing method. The sequenced DNA can be used for tasks like identifying the insect species, performing forensics analysis, or providing genetic information for medical insurance purposes. Bioinformatics tools are used to analyze the sequenced DNA data.
Many diseases are caused by genetic mutations. Over 4000 diseases are linked to altered genes, including heart disease, cancer, autoimmune disorders, and diabetes. Specific mutations are associated with certain cancers, such as mutations in the RB1 and BRCA1 genes which can lead to retinoblastoma and breast cancer respectively. Large-scale projects like the Cancer Genome Atlas and ENCODE project aim to catalogue all mutations in cancers and across the human genome. Immunogenetics research examines the genetic links to immune-related disorders. The HapMap and 1000 Genomes projects studied genetic variants and helped map human genetic diversity.
The document summarizes a presentation about developing open access tools to maximize the value of genomic data through the Genome Commons. The Genome Commons Database will be a repository of variants and associated traits. The Genome Commons Navigator will integrate this data and external tools to facilitate basic research, clinical applications, and more. Participation in the Critical Assessment of Genome Interpretation initiative aims to improve predictions of variant impacts on molecular, cellular and organismal phenotypes. Analysis of variants in folate pathway genes found classes of effects on yeast growth and folate remediation.
Neurotech seminar ish wish 2014 madunaTando Maduna
This document discusses in vitro transcription and fluorescent in situ hybridization (FISH) techniques for visualizing gene expression in tissue samples. It describes the process of designing gene-specific primers, amplifying the gene of interest via PCR, synthesizing fluorescently-labeled RNA probes from the PCR product, hybridizing the probes to tissue samples, and using fluorescence microscopy to visualize where in the tissue the gene is expressed at a cellular level. The document provides technical details on each step of the process and discusses ways to optimize and troubleshoot the technique.
Next-generation sequencing techniques such as Illumina and 454 pyrosequencing were discussed for applications including microbial genome sequencing and metagenomic profiling of microbial communities from targeted gene markers or shotgun sequencing. Key steps include library preparation, sequencing, and downstream bioinformatics analysis of sequencing data for tasks like genome assembly, gene annotation, and taxonomic classification of microbial taxa.
Presentation carried out by Sergi Beltran Agulló, from the CNAG, at the course: Identification and analysis of sequence variants in sequencing projects: fundamentals and tools .
This tutorial provides an overview of working with next-generation sequencing data, including quality control, alignment, and variation analysis. It covers topics such as next-gen sequencing technologies and applications, quality control measures, short read alignment algorithms and tools, sequence assembly methods, and calling variants from sequencing data. The tutorial is presented by Thomas Keane and Jan Aerts at the 9th European Conference on Computational Biology.
This document discusses the history and evolution of DNA sequencing technologies. It begins with early manual sequencing methods developed in the 1970s by Sanger and others. Automated Sanger sequencing and the sequencing of larger genomes followed in the 1980s-1990s. Next generation sequencing (NGS) methods were developed starting in 1996 and became commercially available in 2005, enabling massively parallel sequencing. NGS platforms such as 454, Illumina, and SOLiD are discussed. Third generation real-time sequencing methods such as PacBio and nanopore sequencing are also introduced, providing longer read lengths. The document compares key parameters of different sequencing methods such as read length, accuracy, throughput, cost and advantages/disadvantages.
Course: Bioinformatics for Biomedical Research (2014).
Session: 2.1.1- Next Generation Sequencing. Technologies and Applications. Part I: NGS Introduction and Technology Overview.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
Next-generation sequencing and quality control: An Introduction (2016)Sebastian Schmeier
This lecture is part is an introductory bioinformatics workshop. It gives a background to what sequencing is, what the results of a sequencing experiment are, how to assess the quality of a sequencing run, what error sources exist and how to deal with errors. The accompanying websites are available at http://sschmeier.com/bioinf-workshop/
Next-generation genomics: an integrative approachHong ChangBum
This document summarizes a presentation on next-generation genomics and integrative analysis. It discusses the types of genomic data available from techniques like genome sequencing, RNA sequencing, ChIP-seq, and epigenomics. It explains that integrative analysis can help annotate functional features, infer variant function, and understand gene regulation. Approaches to integration include data reduction, unsupervised clustering, and supervised Bayesian networks. Large-scale datasets can be accessed through browsers, add-ons, and standalone tools to generate novel hypotheses. Future work includes more integrated community resources with search capabilities.
Molecular QC: Interpreting your Bioinformatics PipelineCandy Smellie
What is the impact of assay failure in your laboratory and how do you monitor for it?
The most heavily degraded samples are not suitable for standard exome coverage: sometimes it’s not even a matter of getting bad sequencing, you might get nothing at all!
FFPE artifacts increase with storage time
Artifacts go against the statistical power of your variant calling analysis
Molecular reference standards help filter out bad mappings and spurious variants
Bioinformatics pipelines allow adding Molecular Reference Standards in your joint variant calling pipeline
Genome In A Bottle Reference Standards are invaluable for validating variant calling analysis
NIST and its collaborators shared datasets created with most NGS technologies
Horizon Diagnostics shared annotated, merged variant calls from NIST for the Ashkenazim Trio
~35K variants are predicted having high or moderate impact within the Trio
GM24385 (Ashkenazim Son) includes 352 small variants with high/moderate impact which are absent in Father and Mother
Routinely monitor the performance of your workflows and assays with independent external controls
RAPD is a molecular marker technique that analyzes genome variations by amplifying random DNA segments using short arbitrary primers in PCR. It can detect genetic polymorphisms by analyzing differences in PCR amplified DNA fragments from different genomes. The procedure involves extracting genomic DNA from samples, performing PCR with short random primers, separating amplified fragments on agarose gel, and analyzing banding patterns to detect polymorphisms. RAPD has applications in genetic mapping, DNA fingerprinting, and phylogenetic analysis, though it has lower reproducibility than other markers.
Data Management for Quantitative Biology - Data sources (Next generation tech...QBiC_Tue
Introduction to next generation sequencing (NGS); NGS data; data management of NGS data; third generation sequencing; NGS pipelines; NGS experimental design
RNA sequencing: advances and opportunities Paolo Dametto
This document summarizes recent advances in transcriptome analysis technologies. It discusses limitations of microarray-based approaches and how next-generation sequencing-based RNA-seq provides more comprehensive transcriptome profiling. RNA-seq can detect thousands of new transcript variants and isoforms. It also describes direct RNA sequencing without cDNA conversion, revealing polyadenylation profiles with single-molecule resolution. Comprehensive polyadenylation maps in human and yeast showed previously unannotated sites and alternative polyadenylation, providing insights into regulatory mechanisms.
Toolbox for bacterial population analysis using NGSMirko Rossi
This document provides an overview of tools and approaches for analyzing bacterial population genomics and evolution using next-generation sequencing (NGS) data. It discusses identifying variants from NGS reads using SNP-based or gene-by-gene approaches. It also covers assembly-free and assembly-based analyses, including tools for short-read assembly, pangenome alignment, core genome alignment, and ortholog clustering. Population genomics applications like cgMLST/wgMLST, population structure analysis, and recombination detection are also briefly introduced. The document aims to provide bacterial genomics researchers with a toolbox of software and strategies for population analysis using NGS data.
The document discusses RNA-seq analysis. It begins with an introduction to Mikael Huss, a bioinformatics scientist, and provides an overview of how genomics, RNA profiles, protein profiles, and interactomics relate within systems biology. The document then discusses how gene expression analysis can provide insights into basic research questions regarding tissue and cell identity, as well as insights into diseases by identifying genes that are over- or under-expressed in patients. Finally, it provides a brief overview of the typical workflow for RNA-seq analysis, which involves mapping RNA sequencing reads to a reference genome or transcriptome.
This document provides information about a QIIME workshop. It includes instructions on how to get started with QIIME, an overview of the typical QIIME analysis pipeline from raw sequencing data to results, and details on specific QIIME tools and files like the mapping file, OTU table, and parameters file. The document also discusses moving image analysis of the human microbiome using QIIME.
Apollo is a web-based application that supports and enables collaborative genome curation in real time, allowing teams of curators to improve on existing automated gene models through an intuitive interface. Apollo allows researchers to break down large amounts of data into manageable portions to mobilize groups of researchers with shared interests.
The i5K, an initiative to sequence the genomes of 5,000 insect and related arthropod species, is a broad and inclusive effort that seeks to involve scientists from around the world in their genome curation process, and Apollo is serving as the platform to empower this community.
This presentation is an introduction to Apollo for the members of the i5K Pilot Project working on species of the order Hemiptera.
The GeneArt® Gene Synthesis service consists of chemical synthesis, cloning, and sequence verification of virtually any desired genetic sequence. You will receive a bacterial stab and/or purified plasmid containing your synthesized gene—ready for downstream applications.
Whether you have limited cloning experience or simply want to save time, the GeneArt® Gene Synthesis service helps you move your ideas from the planning stage to the laboratory more quickly. Benefit from our experience in successfully producing over 180,000 constructs for customers as diverse as large pharmaceutical companies, biotechnology start-ups, and basic research institutions. The comparison shown in the figure below highlights the time and effort saved compared to traditional cloning. For more information visit:
https://www.invitrogen.com/site/us/en/home/Products-and-Services/Applications/Cloning/gene-synthesis.html?CID=genesynthesis-SS-12312
This document describes a DNA sequencing process. It begins with DNA extraction from an insect sample, followed by PCR and gel electrophoresis to amplify and isolate the target DNA fragment. The DNA is then sequenced using the dideoxy sequencing method. The sequenced DNA can be used for tasks like identifying the insect species, performing forensics analysis, or providing genetic information for medical insurance purposes. Bioinformatics tools are used to analyze the sequenced DNA data.
Many diseases are caused by genetic mutations. Over 4000 diseases are linked to altered genes, including heart disease, cancer, autoimmune disorders, and diabetes. Specific mutations are associated with certain cancers, such as mutations in the RB1 and BRCA1 genes which can lead to retinoblastoma and breast cancer respectively. Large-scale projects like the Cancer Genome Atlas and ENCODE project aim to catalogue all mutations in cancers and across the human genome. Immunogenetics research examines the genetic links to immune-related disorders. The HapMap and 1000 Genomes projects studied genetic variants and helped map human genetic diversity.
The document summarizes a presentation about developing open access tools to maximize the value of genomic data through the Genome Commons. The Genome Commons Database will be a repository of variants and associated traits. The Genome Commons Navigator will integrate this data and external tools to facilitate basic research, clinical applications, and more. Participation in the Critical Assessment of Genome Interpretation initiative aims to improve predictions of variant impacts on molecular, cellular and organismal phenotypes. Analysis of variants in folate pathway genes found classes of effects on yeast growth and folate remediation.
The human genome project aimed to determine the complete DNA sequence of humans. It began in 1990 and was declared complete in 2003. The goals were to optimize data analysis, sequence the entire genome, and identify all human genes. Scientists isolated DNA from cells, broke it into fragments, cloned the fragments into hosts, and used Sanger sequencing to determine the sequence and arrange fragments into chromosomes. The project found that humans have around 30,000 genes, less than previously thought, and junk DNA makes up much of the genome. It has advanced disease research and treatments.
AGRF in conjunction with EMBL Australia recently organised a workshop at Monash University Clayton. This workshop was targeted at beginners and biologists who are new to analysing Next-Gen Sequencing data. The workshop also aimed to provide users with a snapshot of bioinformatics and data analysis tips on how to begin to analyse project data. An introduction to RNA-seq data analysis was presented by AGRF Senior Bioinformatician Dr. Sonika Tyagi.
Presented: 1st August 2012
The document discusses the challenge of identifying effector genes in the wheat stripe rust fungus Puccinia striiformis f.sp. tritici. Effector genes are small secreted proteins that help the fungus infect wheat plants. Next-generation sequencing allows genomic and transcriptomic analysis but has limitations in assembling repetitive sequences like effectors. The author has analyzed transcriptomes of the fungus grown in planta to predict 100 small secreted protein candidates as potential effector genes for further laboratory tests. Identifying the fungus's effector genes could help develop resistant wheat varieties to reduce annual losses from stripe rust in Australian wheat production.
From Sequence to Knowledge: The Art and Science of Phage Genome AnnotationRamy K. Aziz
First part of the phage annotation workshop at the 2016 EMBO Viruses of Microbes Meeting (Liverpool, UK), presented on 21 July 2016 (http://events.embo.org/16-virus-microbe)
Databases used in forensic sciences and current status of this science in pak...Muhammad Aurangzeb khan
This document provides a summary of the history and current state of forensic science, with a focus on databases and techniques used in Pakistan. It discusses:
1) A brief history of forensic science dating back to the 1700s and key figures like Orfila, Gross, and Jeffreys.
2) The establishment of early forensic laboratories in Europe and the US in the 1900s-1930s and current national laboratories in Pakistan.
3) Common techniques used in forensic science like latent print analysis, toxicology, DNA analysis, and their application to identify criminals and solve cases.
4) DNA analysis techniques specifically, including RFLP, STR, and PCR, and how they are used to
This document outlines the structure and content of a three-part lecture series on the human genome taking place from October 12-16, 2014. Part I will provide an introduction and overview of genome sequencing technologies. Part II will discuss the human genome project and sequencing methods. Part III will cover genome assembly, annotation, outcomes including the number of genes and functional categories, and applications such as SNP analysis and genome-wide association studies. The overall goals are to understand principles of genome analysis and the impacts of the human genome project.
Presented by Dr. Miller at the 40th Annual Symposium "Diagnostic and Clinical Challenges of 20th Century Microbes", held on Nov 18, 2010 in Philadelphia.
The document discusses genome sequencing projects and their history. It describes how Frederic Sanger invented the shotgun sequencing method and how it works. The first bacterial genome completed was Haemophilus influenzae in 1995. Early animal genome projects included sequencing the genome of C. elegans, Drosophila melanogaster, mouse, and human. Genome assembly and annotation are also discussed, along with some early plant, animal, and marine genome sequencing projects. Issues with human genome sequencing are also mentioned.
Stephen Friend Nature Genetics Colloquium 2012-03-24Sage Base
This document proposes using data intensive science to build models of disease within a shared computing environment or "commons". It notes that current disease models often oversimplify complex conditions. Five pilot projects are described that could leverage shared clinical and genomic data as well as model building to better represent diseases: 1) sharing comparator arm data from clinical trials, 2) a federated aging analysis project, 3) portable legal consent, 4) a Sage Congress modeling competition, and 5) the BRIDGE initiative for democratizing medical research. The document argues this approach could accelerate disease understanding and new therapy development.
This document provides an overview of genome sequencing. It discusses the history of genome sequencing, from early sequencing of small viruses in the 1970s to larger genomes like yeast and the human genome. The document outlines different sequencing technologies over time, from Sanger sequencing to newer single-molecule approaches. It also summarizes key genome projects like ENCODE and 1000 Genomes that have provided insights into non-coding regulatory elements and human genetic variation.
This document describes Genome Annotator light (GAL), a tool for genome analysis and visualization. GAL integrates genome annotation, comparative genomics, and visualization features into a single virtual machine. It uses a MySQL database with a schema based on the Genome Unified Schema. The front end is built with Perl, CGI, GD, PHP, JavaScript, and Ajax. GAL can annotate genomes with varying levels of data, from simple fasta files to fully annotated genomes. It visualizes genomes through features like a genome browser, gene details pages, and synteny viewers. GAL has been implemented on oomycete and cyanobacterial genomes.
This document summarizes the assembly of the Phytophthora ramorum genome using PacBio long reads. It describes the error correction and assembly process for two P. ramorum strains, Pr102 and ND886. For Pr102, multiple assembly versions (V1-V5) were generated using different error correction and assembly protocols. The V5 assembly resulted in fewer scaffolds, larger size, and fewer gaps compared to previous versions. For ND886, PacBio reads were error corrected and assembled. Both assemblies captured more repetitive elements compared to previous Sanger-based assemblies. Gene predictions were also improved in number and quality.
The document discusses various topics related to gene prediction including primer designing, restriction mapping, and gene prediction. It provides guidelines for primer designing such as avoiding non-specific binding and dimer formation between primers. It also discusses key concepts in gene prediction such as reading frame consistency between exons, codon and dicodon frequencies that can help distinguish coding from non-coding regions, and position specific scoring matrices to predict translation start sites.
This document discusses motifs, which are nucleotide or amino acid sequence patterns associated with biological functions. It defines motifs, patterns, and profiles. Motifs are conserved regions, patterns are qualitative expressions, and profiles are quantitative representations. It discusses tools for de novo prediction of motifs like MEME and resources for motif discovery. Finally, it provides examples of motifs, patterns, and building position specific scoring matrices from sample sequences.
The document discusses various types of biological databases including sequence databases, structure databases, genome databases, and model organism databases. It provides examples of nucleotide databases like Genbank, DDBJ, EMBL-EBI, and TIGR. Genome browsers like UCSC Genome Browser, Ensembl browser, and Integrated Genome Browser are also mentioned. Other topics covered include the Encyclopedia of Life, India Biodiversity, Barcode of Life, data retrieval schemes, bibliographic databases, and database journals.
This document outlines the schedule and topics for a class on SNPs and gene expression. The class will have 6 sessions, with groups of 2 students presenting on selected papers in each session. Topics to be covered include an introduction to terminology like forward and reverse genetics; how often SNPs occur in the general population; databases of SNPs like dbSNP and haplotype projects like HapMap; gene expression analysis using microarrays; and experimental design, data analysis, and visualization techniques for microarray data. Papers for each group to present on are also listed. The next class will involve discussing one particular paper on SNPs.
The document provides information about performing chi-square tests and choosing appropriate statistical tests. It discusses key concepts like the null hypothesis, degrees of freedom, and expected versus observed values. Examples are provided to illustrate chi-square tests for goodness of fit and comparison of proportions. The document also compares parametric and non-parametric tests, providing examples of when each would be used.
This document summarizes information from several genomics and bioinformatics research groups and projects. It discusses:
- The ENCODE project and its focus areas including databases, data mining, visualization, transcriptomics, alternative splicing, sequencing pipelines, comparative genomics, epigenomics, and population genomics.
- Tools and databases for variant analysis from the 1000 Genomes Project and FORGE Consortium.
- The Genome Modeling System from The Genome Institute at Washington University for analyzing TCGA, ICGC, 1000 Genomes, and PCGP data.
- Using RNA-seq technology to reveal the transcriptome and methods for isolating translated mRNA.
- Resources for analyzing Human Microbiome Project data
The chi-square test is used to determine if an observed distribution of data differs from the distribution expected if the null hypothesis is true. It requires a contingency table of observed and expected frequencies, a probability value, and degrees of freedom. The chi-square test calculates a test statistic to determine if any difference is statistically significant or likely due to chance. Examples show applying the chi-square test to genetics data on tall and dwarf pea plants and to the distribution of sixes rolled in dice.
This document discusses the development of a new lightweight version of the Eumicrobedb database called Transcriptomicsdb. The new version reduces the database size and dependencies by decreasing the number of tables and views from 329 to 37 and 127 to 18 respectively in Eumicrobedb-Oracle. It also improves query time from 10 seconds to 1.2 seconds and reduces genome upload time from 12-14 hours to 2 hours. The document describes how the new database will help laboratories with limited hosting facilities to store and analyze sequencing data. It notes that the source code will soon be released to allow others to replicate the database without needing an Oracle license and various bioinformatics packages.
Pharmacogenetics refers to how genetic differences affect individuals' responses to drugs. It influences different metabolic pathways and is responsible for over 106,000 deaths annually in the US. Certain genetic mutations can determine how effectively drugs are processed in the body. Microarrays are DNA chips that allow researchers to analyze large numbers of genes simultaneously, helping to identify genetic factors influencing drug responses and diseases.
The document discusses topics to be covered in an IICB course on 8th December 2012, including primer designing, restriction mapping, and gene prediction. It provides information and guidelines on these topics, such as the appropriate length and properties of primers, the four types of restriction enzymes, and methods for gene prediction including patterns, frame consistency, dicodon frequencies, position-specific scoring matrices, and coding potential. Relevant references and websites discussing these techniques are also listed.
This document discusses genomics and genome sequencing. It provides an overview of the history of genome sequencing including early organisms sequenced like bacteriophage. It describes how genomes are sequenced through library construction, cloning, and strategies like Sanger sequencing. Applications of genome sequencing are also mentioned such as predicting genes, studying genome organization and evolution, and understanding the genetic basis of disease.
The document discusses several topics related to biodiversity databases and identification tools:
- The Encyclopedia of Life is a collaborative effort to bring together information about 1.9 million named species on the internet freely.
- 17 countries contain 70% of global biodiversity and are considered "megadiverse."
- The Barcode of Life project uses DNA barcoding to identify species using markers like COI for animals, ITS for fungi, and rbcL and matK for plants.
- GenBank and related NCBI databases like PubMed, Nucleotide, and Protein are important tools for depositing and retrieving sequence data using services like ESearch and ESummary.
The document discusses the history and process of genome sequencing, as well as several important genome projects such as the Human Genome Project. It also examines the role of databases in genomic research, describing different types of biological databases and how they can be used to store, organize, and retrieve genomic data. Finally, it provides examples of popular databases and genome browsers that are widely used by researchers.
A consortium of 440 scientists from 32 laboratories characterized functional elements in the human genome as part of the ENCyclopedia Of DNA Elements (ENCODE) project. They found that 80% of the genome is biochemically active, with millions of regulatory elements such as promoters, enhancers, and insulators. Many of these elements interact with genes over long distances to control gene expression. This study significantly changes understanding of how the genome works.
This document discusses oomycete genomics research that has been funded by the National Science Foundation, USDA CSREES, and USDA NIFA from 2007-2016. Over 120 destructive oomycete pathogen species have been studied, including the genera Phytophthora and Hyaloperonospora. The genomes of several Phytophthora species have been sequenced, with efforts underway to sequence all species through a new initiative with BGI. Comparisons between sequenced oomycete genomes show both conserved and unique genes. Effector genes associated with disease are located in repeat-rich regions of genomes and have expanded through evolution.
The document discusses past, present, and future work on oomycete genomics. In the past, genome comparisons found conserved gene order and effector genes associated with repeats. The P. sojae genome is being finished using new sequencing methods. In the future, sequencing capacity is rapidly improving which will enable more oomycete genomes to be sequenced cheaply.
The document discusses tools from the US DOE Joint Genome Institute (JGI) for eukaryotic genome annotation and analysis of oomycete genomes. It introduces MycoCosm, a database with over 70 annotated fungal and oomycete genomes that allows manual curation of gene models. The automated annotation pipeline and various gene prediction programs used by JGI are described briefly. The document also outlines the manual curation workflow involving validating gene structures, choosing the best model, and annotating genes.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
12. Human Genome Project
NHGRI
Solicited RFAs were
First
pilot sought for
Publicati
proposal for full
on in
ENCODE ENCODE
2000
In October GWAS -
Finished 90% lies First Report
1990 Human ENCODE
paper in outside on Encode
Genome coding published
2003 Published in
project started 2005 2012
2007
13. What happens next?
You have 10 million characters – what to do with them?
Locate genes
Determine the function of the gene
By similarity search
By domain search
By Predicting signal peptide
By locating transmembrane region
Ref: http://www.nature.com/nature/journal/v406/n6797/pdf/406799a0.pdf
14. Genome Annotation
Run 6 frame Run Blastp
ATGAAGATAGACAG translation with nr
CATACTAGCAGCAT
AGAATAGATAAGAG
ATAGAAATAGAATA Matc
h
AATATAAGAGAGA found
N
o
Repeat
Finding, miRN Product found
A
Make an
finding, tRNAs
hmmsearch
can etc. N
O
Pathway analysis
Matc
Other analysis
h
found
Unknown
Genes Hypothesis
15. Genome Sizes
Gametic Nuclear DNA content
Represented as mass in pg(pico grams) or length in
mega bases
1 pg = 10^-12 gms
1mb = 10^6 bases
1 pg = 978 Mb
Ref: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669731/
22. Identifying Human Disease genes
ref: http://www.ncbi.nlm.nih.gov/books/NBK7561/
Before 1980, very few genes were recognized
Reverse Genetics: Know gene product and go back to
gene and do a positional cloning
Genetic Redundancy: Multiple genes have the same
function