Tutorial for Genomics Data scientists, students at a beginner level who wish to represent their human genomics analysis results in a circular way CIRCOS. These plots can be used for publication purpose too.
ESTs are short sequences of DNA derived from cDNA clones that represent gene expression in particular cells or tissues. They provide a simple and inexpensive way to discover new genes and map their positions in genomes. To create an EST, mRNA is converted to cDNA and then sequenced, yielding short expressed DNA sequences. ESTs are deposited in public databases like NCBI's dbEST and can help identify genes, construct genome maps, and characterize expressed genes through clustering, assembly, and mapping to genomic sequences. However, isolating mRNA from some tissues can be difficult and ESTs alone do not indicate the genes they were derived from.
This document provides an overview of DNA microarrays (DNA chips). It discusses that DNA chips allow scientists to simultaneously measure gene expression levels or genotype multiple genomic regions. It describes the principle technologies used in DNA chips, including attaching cDNA or oligonucleotide probes to glass or silicon surfaces. The document also provides background on DNA and microarrays, their history, applications in gene expression analysis and disease research, and principle of hybridization. It discusses alternative bead-based array technologies and how microarrays enabled large-scale genomic experiments.
This document provides an overview of functional genomics and methods for transcriptome analysis. It discusses two main approaches - sequence-based approaches like expressed sequence tags (ESTs) and serial analysis of gene expression (SAGE), and microarray-based approaches. For sequence-based approaches, it describes how ESTs can provide gene discovery and expression information but have limitations. It outlines the SAGE methodology and gene index construction to organize EST data. For microarrays, it summarizes the basic workflow including sample preparation, hybridization, image analysis and data normalization to identify differentially expressed genes through statistical tests.
Microarrays allow researchers to study gene expression across thousands of genes simultaneously. They work by hybridizing labeled cDNA or cRNA to probes attached to a solid surface, then detecting and quantifying the hybridized genes. The document outlines the history and development of microarray technology. It describes the key steps in a DNA microarray experiment including tissue collection, RNA isolation, cDNA synthesis, hybridization to the array, scanning, and data analysis. Applications include studying gene expression in health and disease, drug development, and pharmacogenomics. Advantages are the ability to study many genes at once, while limitations include expense and complexity of data analysis.
DNA Microarray introdution and applicationNeeraj Sharma
DNA microarrays allow researchers to analyze gene expression levels across thousands of genes simultaneously. A DNA microarray contains many DNA probes attached to a solid surface in a regular pattern. Researchers isolate mRNA from samples, convert it to cDNA, and label the cDNA with fluorescent dyes. They then hybridize the labeled cDNA to the probes on the microarray. A scanner detects the fluorescence at each probe location, allowing researchers to compare gene expression levels between samples by the intensity and color of fluorescence. Microarrays have applications in medicine, agriculture, forensics and toxicology by enabling the comparison of gene expression in different tissues or in response to different conditions.
Applications of genomics and proteomics pptIbad khan
Applications of genomics and proteomics ppt
genomics and proteomics ppt
in the field of health genomics and proteomics ppt
oncology ppt
biomedical application of genomics and proteomics ppt
agriculture application of genomics and proteomics ppt
proteomics in agriculture ppt
diagnosis of infectious disease ppt
personalized medicine ppt
Enzymes that cut DNA at or near specific recognition nucleotide sequences known as restriction sites.
Especial class of enzymes that cleave (cut) DNA at a specific unique internal location along its length.
Often called restriction endonucleases (Because they cut within the molecule).
Discovered in the late 1970s by Werner Arber, Hamilton Smith, and Daniel Nathans.
Essential tools for recombinant DNA technology.
Naturally produced by bacteria that use them as a defense mechanism against viral infection.
Chop up the viral nucleic acids and protect a bacterial cell by hydrolyzing phage DNA.
Bioinformatics tools are essential for analyzing next-generation sequencing (NGS) data. The summary describes the typical stages of NGS data analysis:
1. Primary analysis involves demultiplexing, base calling and quality control to produce fastq files.
2. Secondary analysis maps reads to a reference genome to produce SAM/BAM files and calls variants to produce VCF files.
3. Tertiary analysis annotates and filters variants to prioritize those relevant to disease.
ESTs are short sequences of DNA derived from cDNA clones that represent gene expression in particular cells or tissues. They provide a simple and inexpensive way to discover new genes and map their positions in genomes. To create an EST, mRNA is converted to cDNA and then sequenced, yielding short expressed DNA sequences. ESTs are deposited in public databases like NCBI's dbEST and can help identify genes, construct genome maps, and characterize expressed genes through clustering, assembly, and mapping to genomic sequences. However, isolating mRNA from some tissues can be difficult and ESTs alone do not indicate the genes they were derived from.
This document provides an overview of DNA microarrays (DNA chips). It discusses that DNA chips allow scientists to simultaneously measure gene expression levels or genotype multiple genomic regions. It describes the principle technologies used in DNA chips, including attaching cDNA or oligonucleotide probes to glass or silicon surfaces. The document also provides background on DNA and microarrays, their history, applications in gene expression analysis and disease research, and principle of hybridization. It discusses alternative bead-based array technologies and how microarrays enabled large-scale genomic experiments.
This document provides an overview of functional genomics and methods for transcriptome analysis. It discusses two main approaches - sequence-based approaches like expressed sequence tags (ESTs) and serial analysis of gene expression (SAGE), and microarray-based approaches. For sequence-based approaches, it describes how ESTs can provide gene discovery and expression information but have limitations. It outlines the SAGE methodology and gene index construction to organize EST data. For microarrays, it summarizes the basic workflow including sample preparation, hybridization, image analysis and data normalization to identify differentially expressed genes through statistical tests.
Microarrays allow researchers to study gene expression across thousands of genes simultaneously. They work by hybridizing labeled cDNA or cRNA to probes attached to a solid surface, then detecting and quantifying the hybridized genes. The document outlines the history and development of microarray technology. It describes the key steps in a DNA microarray experiment including tissue collection, RNA isolation, cDNA synthesis, hybridization to the array, scanning, and data analysis. Applications include studying gene expression in health and disease, drug development, and pharmacogenomics. Advantages are the ability to study many genes at once, while limitations include expense and complexity of data analysis.
DNA Microarray introdution and applicationNeeraj Sharma
DNA microarrays allow researchers to analyze gene expression levels across thousands of genes simultaneously. A DNA microarray contains many DNA probes attached to a solid surface in a regular pattern. Researchers isolate mRNA from samples, convert it to cDNA, and label the cDNA with fluorescent dyes. They then hybridize the labeled cDNA to the probes on the microarray. A scanner detects the fluorescence at each probe location, allowing researchers to compare gene expression levels between samples by the intensity and color of fluorescence. Microarrays have applications in medicine, agriculture, forensics and toxicology by enabling the comparison of gene expression in different tissues or in response to different conditions.
Applications of genomics and proteomics pptIbad khan
Applications of genomics and proteomics ppt
genomics and proteomics ppt
in the field of health genomics and proteomics ppt
oncology ppt
biomedical application of genomics and proteomics ppt
agriculture application of genomics and proteomics ppt
proteomics in agriculture ppt
diagnosis of infectious disease ppt
personalized medicine ppt
Enzymes that cut DNA at or near specific recognition nucleotide sequences known as restriction sites.
Especial class of enzymes that cleave (cut) DNA at a specific unique internal location along its length.
Often called restriction endonucleases (Because they cut within the molecule).
Discovered in the late 1970s by Werner Arber, Hamilton Smith, and Daniel Nathans.
Essential tools for recombinant DNA technology.
Naturally produced by bacteria that use them as a defense mechanism against viral infection.
Chop up the viral nucleic acids and protect a bacterial cell by hydrolyzing phage DNA.
Bioinformatics tools are essential for analyzing next-generation sequencing (NGS) data. The summary describes the typical stages of NGS data analysis:
1. Primary analysis involves demultiplexing, base calling and quality control to produce fastq files.
2. Secondary analysis maps reads to a reference genome to produce SAM/BAM files and calls variants to produce VCF files.
3. Tertiary analysis annotates and filters variants to prioritize those relevant to disease.
Comparative genomics involves systematically comparing genome sequences from different organisms. It uses computer programs to identify homologous genomic regions and align sequences at the base-pair level. Comparing genomes at different phylogenetic distances can provide insights into gene structure/function, evolution, and characteristics unique to each organism. Key tools for comparative genomics include genome browsers, aligners, and databases that classify orthologous gene clusters conserved across species.
The document discusses several key aspects of gene prediction including:
1. Gene prediction algorithms use signals like start/stop codons, splice sites, and open reading frames to identify genes computationally with near 100% accuracy.
2. There are ab initio, homology-based, and probabilistic models like Hidden Markov Models that can predict prokaryotic and eukaryotic genes.
3. Eukaryotic gene prediction is more challenging due to larger genomes, fewer genes, and intron-exon structures. Programs must consider splicing, polyadenylation, and other post-transcriptional modifications.
This document discusses different methods for genome sequencing and assembly, including restriction enzyme fingerprinting, marker sequences, and hybridization assays. It focuses on using marker sequences like sequence-tagged sites (STS), expressed sequence tags (ESTs), untranslated regions (UTRs), and single nucleotide polymorphisms (SNPs) to map genomes. Large-insert cloning vectors like BACs and PACs can be used with restriction enzyme fingerprinting and FPC software to assemble contigs and map genomes at a large scale. Marker sequences provide a dense set of physical markers to build accurate physical maps of genomes.
This document discusses genome database systems. It begins with an introduction to bioinformatics and genomes. It then discusses the background of genome databases, including some examples. The major characteristics of genome database systems are described as having high complex data, schema changes at a rapid pace, and complex queries. The key areas of data management in genome databases are discussed as non-standard data, complex queries, data interpretation, integration across databases, and uniform management solutions. Major research areas and applications that impact society are also summarized.
The document discusses the differences between prokaryotic and eukaryotic genomes. Prokaryotes generally have a single, circular chromosome while eukaryotes have multiple linear chromosomes within a membrane-bound nucleus. The human genome contains around 3 billion base pairs divided between nuclear and mitochondrial DNA. The nuclear genome encodes around 20,000-25,000 protein-coding genes and is inherited equally from both parents, while mitochondrial DNA is maternally inherited.
The document discusses the UCSC Genome Browser, an online tool for viewing and interacting with genomic data. It allows users to view multiple data sources simultaneously for a genomic region across many organisms. The document covers basic usage, uploading temporary custom tracks, creating permanent track hubs to host data, and sharing views using saved sessions. Track hubs and sessions allow sharing genomic views and custom data without time limits.
This document describes the process of DNA microarray technology. It discusses:
- How DNA microarrays work by hybridizing DNA or RNA targets to probes arranged on a solid surface.
- The key steps of microarray experiments including array printing, sample preparation, hybridization, and data acquisition and analysis.
- Different types of microarrays like cDNA microarrays and high-density oligonucleotide arrays.
- Details of probe selection, target labeling, hybridization conditions, scanning, and data analysis.
The document provides an overview of plant genome sequence assembly, including:
1) A brief history of sequencing technologies and their improvements over time, from Sanger sequencing to newer technologies producing longer reads.
2) Key steps in a sequencing project including read processing, filtering, and corrections before assembly into contigs and scaffolds using appropriate software.
3) Factors to consider for experimental design and assembly optimization such as sequencing depth, library types, and software choices depending on the genome and data characteristics.
The document summarizes the principle and workflow of Illumina next-generation sequencing. It begins with an overview of Illumina and the development of their sequencing technologies. It then describes the wide range of applications of NGS. The core principle is sequencing by synthesis using reversible dye-terminators. The workflow involves library preparation through fragmentation and ligation of adapters, cluster generation by bridge amplification on a flow cell, and sequencing through cycles of reversible terminator incorporation and imaging. Finally, the sequenced reads are aligned and analyzed using Illumina's data analysis software suite.
Clustal X help to the Bioinformatics candidate to predicts the Multiple Sequence Alignment and Phylogenetic Analysis for given a nuber of Gene Sequences of varrious organism,and find the evolutionary relationship.
This document discusses structural genomics and its goals of determining the 3D structures of large numbers of gene products to identify novel protein folds and sequences. It describes methods for structural determination including de novo and modeling based approaches. Specific proteome projects on Thermotoga maritima and Mycobacterium tuberculosis are mentioned. The objectives of structural genomics are outlined as providing structural information to aid research, experimental design, identification of new structure-based medicines, and development of better therapeutics.
This document provides an introduction to next generation sequencing (NGS) technologies. It begins with an outline of topics to be covered, including the evolution of NGS technologies, their descriptions and comparisons, bioinformatics challenges of NGS data analysis, and some aspects of NGS data analysis workflows and tools. The document then delves into explanations of specific NGS platforms, their performance characteristics, and the sequencing processes. It discusses the large computational infrastructure and data management needs of NGS, as well as quality control, preprocessing of NGS data, and popular analysis tools and workflows.
There are several types of mapping used to determine the location and distance between genetic elements and markers on a genome. Genetic mapping uses recombination events to estimate distances between markers. Physical mapping relies on experimental outcomes like hybridization and amplification but may not provide distance measures. Radiation hybrid mapping allows high-resolution mapping by exploiting how rodent cells incorporate genetic material from fused cells. Comparative mapping utilizes animal models and ortholog identification to explore causes of disease across multiple species.
Whole genome shotgun sequencing involves randomly breaking genomic DNA into small fragments, sequencing the fragments, and then reassembling the sequences using overlapping regions. The document outlines the history and procedure of shotgun sequencing. Genomic DNA is first fragmented, end-repaired, and size-selected into small, medium, and large fragments. Libraries are created for each size fragment and sequenced. A base caller filters poor calls and an assembler finds overlaps to generate continuous nucleotide sequences or contigs of the whole genome.
This document discusses forward and reverse genetic approaches for understanding gene function. Forward genetics begins with a phenotype and identifies the underlying gene, while reverse genetics starts with a gene and determines its phenotype. Specific reverse genetic techniques described include large-scale random mutagenesis, homologous recombination, transposable element excision, RNA interference, genome editing using ZFNs/TALENs/CRISPR, and site-directed mutagenesis combined with transgenics. The document provides details on how each technique is used to alter genes and study their function.
Microarrays allow researchers to study gene expression across thousands of genes at once. They work by immobilizing DNA probes on a solid surface, then exposing the surface to fluorescently labeled cDNA or cRNA from samples. The microarray is then scanned to see which probes fluoresce, indicating gene expression. Microarrays have many applications including disease diagnosis, drug discovery, and toxicology. While powerful, they also have limitations like expense and complexity of data analysis. Standards are being developed to allow use of microarray data in regulatory decision making.
This document discusses DNA sequencing methods and their history and applications. It covers first generation sequencing methods like Sanger sequencing and Maxam-Gilbert sequencing. It also covers next generation sequencing (NGS) methods like 454 pyrosequencing, Illumina sequencing, and Ion Torrent semiconductor sequencing. NGS allows high-throughput, massively parallel sequencing of DNA fragments. Template preparation for NGS involves fragmenting DNA, attaching fragments to beads, and emulsion PCR. The document provides details on the chemistry and detection methods used for different sequencing platforms.
DNA microarrays allow analysis of gene expression across thousands of genes simultaneously. They consist of DNA probes attached to a solid surface in an organized grid pattern, with each spot representing a single gene. Samples are labeled with fluorescent dyes and hybridized to the chip. Complementary sequences pair via hydrogen bonds, while non-specific sequences are washed away. The signal intensity at each spot indicates the amount of target sequence present and thus gene expression levels. DNA microarrays have applications in clinical diagnosis, drug discovery, and other fields by profiling gene expression patterns.
This document discusses various molecular marker techniques used in genetics, including their discovery and applications. It covers:
- RFLP (restriction fragment length polymorphism), the first widely used molecular marker technique, which detects variations in DNA fragments after restriction enzyme digestion.
- RAPD (random amplified polymorphic DNA) which uses random primers to amplify variable DNA regions by PCR for genetic mapping.
- AFLP (amplified fragment length polymorphism) which combines restriction enzyme digestion and PCR amplification to generate multiple polymorphic DNA fragments.
- SSR (simple sequence length polymorphism) markers which detect variations in short tandem repeats useful for genetic linkage maps.
- SNPs (single nucleotide polymorphisms)
Circos is a circular visualization tool that can be used to display relationships between different types of data. It allows users to create publication-quality circular layouts through a plain-text configuration file. Typical Circos images feature ideograms, histograms, links between data, and other customizable elements. The tool is useful for visualizing genomic, chemical, and network data and has been applied in a variety of publications.
This document provides an overview of Circos, a software package for visualizing data in circular forms. It discusses Circos' technical requirements, data formats, and configuration files. The document also provides examples of commands to generate Circos plots from data files.
Comparative genomics involves systematically comparing genome sequences from different organisms. It uses computer programs to identify homologous genomic regions and align sequences at the base-pair level. Comparing genomes at different phylogenetic distances can provide insights into gene structure/function, evolution, and characteristics unique to each organism. Key tools for comparative genomics include genome browsers, aligners, and databases that classify orthologous gene clusters conserved across species.
The document discusses several key aspects of gene prediction including:
1. Gene prediction algorithms use signals like start/stop codons, splice sites, and open reading frames to identify genes computationally with near 100% accuracy.
2. There are ab initio, homology-based, and probabilistic models like Hidden Markov Models that can predict prokaryotic and eukaryotic genes.
3. Eukaryotic gene prediction is more challenging due to larger genomes, fewer genes, and intron-exon structures. Programs must consider splicing, polyadenylation, and other post-transcriptional modifications.
This document discusses different methods for genome sequencing and assembly, including restriction enzyme fingerprinting, marker sequences, and hybridization assays. It focuses on using marker sequences like sequence-tagged sites (STS), expressed sequence tags (ESTs), untranslated regions (UTRs), and single nucleotide polymorphisms (SNPs) to map genomes. Large-insert cloning vectors like BACs and PACs can be used with restriction enzyme fingerprinting and FPC software to assemble contigs and map genomes at a large scale. Marker sequences provide a dense set of physical markers to build accurate physical maps of genomes.
This document discusses genome database systems. It begins with an introduction to bioinformatics and genomes. It then discusses the background of genome databases, including some examples. The major characteristics of genome database systems are described as having high complex data, schema changes at a rapid pace, and complex queries. The key areas of data management in genome databases are discussed as non-standard data, complex queries, data interpretation, integration across databases, and uniform management solutions. Major research areas and applications that impact society are also summarized.
The document discusses the differences between prokaryotic and eukaryotic genomes. Prokaryotes generally have a single, circular chromosome while eukaryotes have multiple linear chromosomes within a membrane-bound nucleus. The human genome contains around 3 billion base pairs divided between nuclear and mitochondrial DNA. The nuclear genome encodes around 20,000-25,000 protein-coding genes and is inherited equally from both parents, while mitochondrial DNA is maternally inherited.
The document discusses the UCSC Genome Browser, an online tool for viewing and interacting with genomic data. It allows users to view multiple data sources simultaneously for a genomic region across many organisms. The document covers basic usage, uploading temporary custom tracks, creating permanent track hubs to host data, and sharing views using saved sessions. Track hubs and sessions allow sharing genomic views and custom data without time limits.
This document describes the process of DNA microarray technology. It discusses:
- How DNA microarrays work by hybridizing DNA or RNA targets to probes arranged on a solid surface.
- The key steps of microarray experiments including array printing, sample preparation, hybridization, and data acquisition and analysis.
- Different types of microarrays like cDNA microarrays and high-density oligonucleotide arrays.
- Details of probe selection, target labeling, hybridization conditions, scanning, and data analysis.
The document provides an overview of plant genome sequence assembly, including:
1) A brief history of sequencing technologies and their improvements over time, from Sanger sequencing to newer technologies producing longer reads.
2) Key steps in a sequencing project including read processing, filtering, and corrections before assembly into contigs and scaffolds using appropriate software.
3) Factors to consider for experimental design and assembly optimization such as sequencing depth, library types, and software choices depending on the genome and data characteristics.
The document summarizes the principle and workflow of Illumina next-generation sequencing. It begins with an overview of Illumina and the development of their sequencing technologies. It then describes the wide range of applications of NGS. The core principle is sequencing by synthesis using reversible dye-terminators. The workflow involves library preparation through fragmentation and ligation of adapters, cluster generation by bridge amplification on a flow cell, and sequencing through cycles of reversible terminator incorporation and imaging. Finally, the sequenced reads are aligned and analyzed using Illumina's data analysis software suite.
Clustal X help to the Bioinformatics candidate to predicts the Multiple Sequence Alignment and Phylogenetic Analysis for given a nuber of Gene Sequences of varrious organism,and find the evolutionary relationship.
This document discusses structural genomics and its goals of determining the 3D structures of large numbers of gene products to identify novel protein folds and sequences. It describes methods for structural determination including de novo and modeling based approaches. Specific proteome projects on Thermotoga maritima and Mycobacterium tuberculosis are mentioned. The objectives of structural genomics are outlined as providing structural information to aid research, experimental design, identification of new structure-based medicines, and development of better therapeutics.
This document provides an introduction to next generation sequencing (NGS) technologies. It begins with an outline of topics to be covered, including the evolution of NGS technologies, their descriptions and comparisons, bioinformatics challenges of NGS data analysis, and some aspects of NGS data analysis workflows and tools. The document then delves into explanations of specific NGS platforms, their performance characteristics, and the sequencing processes. It discusses the large computational infrastructure and data management needs of NGS, as well as quality control, preprocessing of NGS data, and popular analysis tools and workflows.
There are several types of mapping used to determine the location and distance between genetic elements and markers on a genome. Genetic mapping uses recombination events to estimate distances between markers. Physical mapping relies on experimental outcomes like hybridization and amplification but may not provide distance measures. Radiation hybrid mapping allows high-resolution mapping by exploiting how rodent cells incorporate genetic material from fused cells. Comparative mapping utilizes animal models and ortholog identification to explore causes of disease across multiple species.
Whole genome shotgun sequencing involves randomly breaking genomic DNA into small fragments, sequencing the fragments, and then reassembling the sequences using overlapping regions. The document outlines the history and procedure of shotgun sequencing. Genomic DNA is first fragmented, end-repaired, and size-selected into small, medium, and large fragments. Libraries are created for each size fragment and sequenced. A base caller filters poor calls and an assembler finds overlaps to generate continuous nucleotide sequences or contigs of the whole genome.
This document discusses forward and reverse genetic approaches for understanding gene function. Forward genetics begins with a phenotype and identifies the underlying gene, while reverse genetics starts with a gene and determines its phenotype. Specific reverse genetic techniques described include large-scale random mutagenesis, homologous recombination, transposable element excision, RNA interference, genome editing using ZFNs/TALENs/CRISPR, and site-directed mutagenesis combined with transgenics. The document provides details on how each technique is used to alter genes and study their function.
Microarrays allow researchers to study gene expression across thousands of genes at once. They work by immobilizing DNA probes on a solid surface, then exposing the surface to fluorescently labeled cDNA or cRNA from samples. The microarray is then scanned to see which probes fluoresce, indicating gene expression. Microarrays have many applications including disease diagnosis, drug discovery, and toxicology. While powerful, they also have limitations like expense and complexity of data analysis. Standards are being developed to allow use of microarray data in regulatory decision making.
This document discusses DNA sequencing methods and their history and applications. It covers first generation sequencing methods like Sanger sequencing and Maxam-Gilbert sequencing. It also covers next generation sequencing (NGS) methods like 454 pyrosequencing, Illumina sequencing, and Ion Torrent semiconductor sequencing. NGS allows high-throughput, massively parallel sequencing of DNA fragments. Template preparation for NGS involves fragmenting DNA, attaching fragments to beads, and emulsion PCR. The document provides details on the chemistry and detection methods used for different sequencing platforms.
DNA microarrays allow analysis of gene expression across thousands of genes simultaneously. They consist of DNA probes attached to a solid surface in an organized grid pattern, with each spot representing a single gene. Samples are labeled with fluorescent dyes and hybridized to the chip. Complementary sequences pair via hydrogen bonds, while non-specific sequences are washed away. The signal intensity at each spot indicates the amount of target sequence present and thus gene expression levels. DNA microarrays have applications in clinical diagnosis, drug discovery, and other fields by profiling gene expression patterns.
This document discusses various molecular marker techniques used in genetics, including their discovery and applications. It covers:
- RFLP (restriction fragment length polymorphism), the first widely used molecular marker technique, which detects variations in DNA fragments after restriction enzyme digestion.
- RAPD (random amplified polymorphic DNA) which uses random primers to amplify variable DNA regions by PCR for genetic mapping.
- AFLP (amplified fragment length polymorphism) which combines restriction enzyme digestion and PCR amplification to generate multiple polymorphic DNA fragments.
- SSR (simple sequence length polymorphism) markers which detect variations in short tandem repeats useful for genetic linkage maps.
- SNPs (single nucleotide polymorphisms)
Circos is a circular visualization tool that can be used to display relationships between different types of data. It allows users to create publication-quality circular layouts through a plain-text configuration file. Typical Circos images feature ideograms, histograms, links between data, and other customizable elements. The tool is useful for visualizing genomic, chemical, and network data and has been applied in a variety of publications.
This document provides an overview of Circos, a software package for visualizing data in circular forms. It discusses Circos' technical requirements, data formats, and configuration files. The document also provides examples of commands to generate Circos plots from data files.
This document provides an introduction to VHDL (VHSIC Hardware Description Language). It discusses what VHDL is used for, including modeling digital systems at different levels of abstraction, design specification, documentation, verification through simulation, test generation, and hardware synthesis. The document outlines the design flow process from initial idea to physical design. It provides examples of modeling behavioral and structural designs in VHDL and using VHDL for register transfer level logic design.
Graph500 and Green Graph500 benchmarks on SGI UV2000 @ SGI UG SC14Yuichiro Yasui
The document discusses Graph500 and Green Graph500 benchmarks for evaluating graph processing performance on the SGI UV2000 system. It provides an overview of the benchmarks and describes testing various graph workloads, including social networks and road networks, on different hardware from smartphones to supercomputers. The authors aim to optimize breadth-first search (BFS) graph algorithms on the NUMA-based SGI UV2000 without using MPI through NUMA-aware techniques.
Basic information about the C3D Labs' development toolkit and the new version of its C3D modeling kernel V16, as well as some examples of existing licensing programs, and current software developed on C3D.
This document describes a top-down digital design flow using Synopsys Design Compiler for logic synthesis, Mentor Modelsim for simulation, and Cadence Encounter for placement and routing. It provides details on each step of the flow, from RTL design and simulation to logic synthesis, placement and routing, and back-annotation. An example FIR filter design is used to demonstrate the full flow. Guidelines are given for organizing design projects and files using scripts to automate the flow.
This document describes a top-down digital design flow using Synopsys Design Compiler for logic synthesis, Mentor Modelsim for simulation, and Cadence Encounter for placement and routing. It provides instructions for each step of the flow, from RTL design and simulation to synthesis, placement and routing, and back-annotation. An example FIR filter design is used to demonstrate the full flow. The document also recommends organizing design projects using a script that sets up a directory structure to manage design files for the different EDA tools.
Klessydra t - designing vector coprocessors for multi-threaded edge-computing...RISC-V International
The document describes a proposed Klessydra-T1 vector coprocessor architecture designed for multi-threaded edge computing cores. It achieves a 3x speedup over a baseline core through configurable SIMD and MIMD vector acceleration schemes. Benchmark results show cycle count reductions for workloads like convolution and matrix multiplication when using the coprocessor in various SISD, SIMD, and MIMD configurations. Resource utilization and maximum frequency are also analyzed.
Basic information about C3D Labs and its development toolkit for 2D and 3D modeling, as well as some examples of existing licensing programs, and current software developed on C3D Kernel.
C3D Kernel is a geometric modeling toolkit originally developed by ASCON Group in 1986 and now developed by C3D Labs. It provides functions for 2D and 3D modeling, including solid modeling, surface modeling, and sheet metal modeling. It uses a boundary representation and is incorporated into various CAD, CAM, and CAE software systems. C3D Labs has over 17 customers worldwide and provides developer tools, testing applications, documentation, and support to help customers integrate and utilize the C3D Kernel.
Arm: Enabling CXL devices within the Data Center with Arm SolutionsMemory Fabric Forum
During the CXL Forum at OCP Summit, Arm Director of Segment Marketing Parag Beeraka provides and overview of the Arm portfolio of CXL products for the Data Center
The document provides an overview of the Point Cloud Library (PCL), an open-source library for point cloud processing. PCL contains algorithms for filtering, segmentation, registration, surface reconstruction and more. It has a modular structure with libraries for filters, features, keypoints, visualization and I/O. PCL data can be read from and written to various file formats like PCD and PLY. It also integrates with MeshLab for point cloud visualization. Examples are given to demonstrate converting a PCD file to PLY format using PCL.
This document introduces relational algebra and relational query languages. It discusses how relational algebra uses set operations like selection, projection, join, and division to manipulate relations and retrieve data. It provides examples of expressing various queries in relational algebra and how the operations can be composed to solve more complex queries. Key relational algebra operations and their use in querying relational databases are demonstrated through examples.
Delivering Supermicro Software Defined Storage Solutions with OSNexus QuantaStorRebekah Rodriguez
With security and cost concerns at an all-time high, organizations are searching for solutions to lower labor costs and keep their data safe from threats. Supermicro and OSNexus partner to bring a solution to you with a single point of management for file, block, and object storage, along with cutting-edge security features and certifications for regulated industries.
Performance Evaluation & Design Methodologies for Automated 32 Bit CRC Checki...VIT-AP University
For design methodology of CRC or cyclic redundancy check is very used technique for error checking and shows the transmission reliability we are using the HDLC block. HDLC block is very useful in data communication these block operated in data link layer. For design methodology of CRC is to generate the CRC polynomial using XOR’s gate and shift register these polynomial are implement on software Xilinx Plan Ahead 13.1 and verify for simulation result for random testing of CRC bit on receiver side same result are obtained to show that it is more reliable.
This document provides information about setting up and using PCB-GCODE, a program for generating G-CODE files from EAGLE PCB designs to cut circuit boards using a CNC machine. It discusses downloading and installing PCB-GCODE, selecting options for board generation and G-CODE styles, using previews and customization features, and providing support for users. The document contains various figures and tables to illustrate concepts and settings.
In this talk I'll discuss how we can combine the power of PostgreSQL with TensorFlow to perform data analysis. By using the pl/python3 procedural language we can integrate machine learning libraries such as TensorFlow with PostgreSQL, opening the door for powerful data analytics combining SQL with AI. Typical use-cases might involve regression analysis to find relationships in an existing dataset and to predict results based on new inputs, or to analyse time series data and extrapolate future data taking into account general trends and seasonal variability whilst ignoring noise. Python is an ideal language for building custom systems to do this kind of work as it gives us access to a rich ecosystem of libraries such as Pandas and Numpy, in addition to TensorFlow itself.
The document discusses graphic standards for CAD systems. It covers the components of a CAD database including geometric entities and coordinate points. It emphasizes the need for standards to facilitate data exchange between CAD, analysis, and manufacturing software. Common standards discussed include GKS, PHIGS, DXF, IGES, and STEP files, which allow translation between different CAD packages using neutral file formats. Key geometric transformations like translation, rotation, and scaling are also summarized in the context of how they are used in CAD modeling and animation.
This document compares hardware implementations of three financial algorithms (Black-Scholes, Black, and binomial) using VHDL and high-level synthesis (HLS). HLS implementations achieved similar performance to VHDL in terms of throughput and latency but required fewer logic resources and used floating point for higher accuracy. However, HLS design effort was over an order of magnitude higher than VHDL. Implementing the algorithms on FPGAs provided up to 350x speedup compared to software.
Evaluation and Identification of J'BaFofi the Giant Spider of Congo and Moke...MrSproy
ABSTRACT
The J'BaFofi, or "Giant Spider," is a mainly legendary arachnid by reportedly inhabiting the dense rain forests of
the Congo. As despite numerous anecdotal accounts and cultural references, the scientific validation remains more elusive.
My study aims to proper evaluate the existence of the J'BaFofi through the analysis of historical reports,indigenous
testimonies and modern exploration efforts.
This presentation offers a general idea of the structure of seed, seed production, management of seeds and its allied technologies. It also offers the concept of gene erosion and the practices used to control it. Nursery and gardening have been widely explored along with their importance in the related domain.
Mechanics:- Simple and Compound PendulumPravinHudge1
a compound pendulum is a physical system with a more complex structure than a simple pendulum, incorporating its mass distribution and dimensions into its oscillatory motion around a fixed axis. Understanding its dynamics involves principles of rotational mechanics and the interplay between gravitational potential energy and kinetic energy. Compound pendulums are used in various scientific and engineering applications, such as seismology for measuring earthquakes, in clocks to maintain accurate timekeeping, and in mechanical systems to study oscillatory motion dynamics.
TOPIC OF DISCUSSION: CENTRIFUGATION SLIDESHARE.pptxshubhijain836
Centrifugation is a powerful technique used in laboratories to separate components of a heterogeneous mixture based on their density. This process utilizes centrifugal force to rapidly spin samples, causing denser particles to migrate outward more quickly than lighter ones. As a result, distinct layers form within the sample tube, allowing for easy isolation and purification of target substances.
Presentation of our paper, "Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection", by K. Tsigos, E. Apostolidis, S. Baxevanakis, S. Papadopoulos, V. Mezaris. Presented at the ACM Int. Workshop on Multimedia AI against Disinformation (MAD’24) of the ACM Int. Conf. on Multimedia Retrieval (ICMR’24), Thailand, June 2024. https://doi.org/10.1145/3643491.3660292 https://arxiv.org/abs/2404.18649
Software available at https://github.com/IDT-ITI/XAI-Deepfakes
Order : Trombidiformes (Acarina) Class : Arachnida
Mites normally feed on the undersurface of the leaves but the symptoms are more easily seen on the uppersurface.
Tetranychids produce blotching (Spots) on the leaf-surface.
Tarsonemids and Eriophyids produce distortion (twist), puckering (Folds) or stunting (Short) of leaves.
Eriophyids produce distinct galls or blisters (fluid-filled sac in the outer layer)
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...Sérgio Sacani
Context. The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shifted Brγ emission. The ionized hydrogen in combination with the observation of mid-infrared L-band continuum emission suggests that most of these sources are embedded in a dusty envelope. These embedded sources are part of the S-cluster, and their relationship to the S-stars is still under debate. To date, the question of the origin of these two populations has been vague, although all explanations favor migration processes for the individual cluster members. Aims. This work revisits the S-cluster and its dusty members orbiting the supermassive black hole SgrA* on bound Keplerian orbits from a kinematic perspective. The aim is to explore the Keplerian parameters for patterns that might imply a nonrandom distribution of the sample. Additionally, various analytical aspects are considered to address the nature of the dusty sources. Methods. Based on the photometric analysis, we estimated the individual H−K and K−L colors for the source sample and compared the results to known cluster members. The classification revealed a noticeable contrast between the S-stars and the dusty sources. To fit the flux-density distribution, we utilized the radiative transfer code HYPERION and implemented a young stellar object Class I model. We obtained the position angle from the Keplerian fit results; additionally, we analyzed the distribution of the inclinations and the longitudes of the ascending node. Results. The colors of the dusty sources suggest a stellar nature consistent with the spectral energy distribution in the near and midinfrared domains. Furthermore, the evaporation timescales of dusty and gaseous clumps in the vicinity of SgrA* are much shorter ( 2yr) than the epochs covered by the observations (≈15yr). In addition to the strong evidence for the stellar classification of the D-sources, we also find a clear disk-like pattern following the arrangements of S-stars proposed in the literature. Furthermore, we find a global intrinsic inclination for all dusty sources of 60 ± 20◦, implying a common formation process. Conclusions. The pattern of the dusty sources manifested in the distribution of the position angles, inclinations, and longitudes of the ascending node strongly suggests two different scenarios: the main-sequence stars and the dusty stellar S-cluster sources share a common formation history or migrated with a similar formation channel in the vicinity of SgrA*. Alternatively, the gravitational influence of SgrA* in combination with a massive perturber, such as a putative intermediate mass black hole in the IRS 13 cluster, forces the dusty objects and S-stars to follow a particular orbital arrangement. Key words. stars: black holes– stars: formation– Galaxy: center– galaxies: star formation
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Signatures of wave erosion in Titan’s coastsSérgio Sacani
The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
2. ● Circos Plots: Examples
● Technical Requirements
● Chromosomes & Ideogram
● Points to remember
● Circos Configuration file format
● Circos Distribution.
– Folder Distribution
● Data format
Overview
3. ● Circos is a softare package for visualizing data
and information. It visualize data in circular
layout.
● Circos is ideal for creating publication-quality
infographics, richly layered data and pleasant
symmetries.
● If you are a researcher, analyst,data geek or
visual artist who is seeking to communicate a
dataset, circos is for you.
Circos plots
4. ● The biological scientific community has
adopted circos worldwide. Circos has
appeared in many top scientific journals.
8. 8
Nature Communications 6, Article number: 5973 doi:10.1038/ncomms6973
Circos Plot showing the
count of SNV variants
and copy number
changes.
9. 9
1) A machine with installed perl and additional
perl modules.
2) Karyotype file
3) Configuration file
4) Genomic data files.
To generate Circos, We NEED
13. ●
To list all the required
modules and check whether
they are installed, use
-modules.
First open a new terminal &
change directory to Circos
folder
●
Now check installed
modules using:
13
perl circos -modules
16. The chromosome is the entire sequence structure
as defined in Karyotype file.
Ideogram is the depiction of the chromosome, or
region. Ideogram of hg 19 has been shown in the
image. (22+X,Y chr)
Format of hg19 Karyotype File: (available with
circos package in Workshop/circos/data/karyotype)
16
chr - hs1 1 0 249250621 chr1
chr - hs2 2 0 243199373 chr2
chr - hs3 3 0 198022430 chr3
chr - hs4 4 0 191154276 chr4
chr - hs5 5 0 180915260 chr5
--------------------------------------
--------------------------------------
band hs1 p36.33 p36.33 0 2300000 gneg
band hs1 p36.32 p36.32 2300000 5400000 gpos25
--------------------------------------
Example of Ideogram
Chromosome & Ideogram
18. ● All input files are text.
● Output image formats are .png and .svg and are
static.
● It requires configuration file(s) to specify Circos
layout and data tracks.
● It does not do any analysis,only for visualization.
● Comment lines starts with a hash “#”
● Run on command-line.
Points To remember
20. 20
●
The image generation process is driven by
a central configuration file.
●
Circos configuration (.conf) file is text file with
some parameters that define the image,
including input files, image size, formatting
etc.
●
This file usually imports other
configuration files, such as global color
and font settings.
Circos configuration (.conf) file
format
21. 21
..continue
Configuration file syntax
➢
Blocks
<ideogram> #start of block
thickness = 30p
fill = yes
..........
</ideogram> #end of block
Nested Blocks
<plots>
<plot>
type=line
➢
file = data/file1.txt
.........
</plot>
<plot>
type=line
file = data/file2.txt
..........
</plot>
</plots>
An example of Nested Block
Under <plots> parameter there are 2
line plots, hence Nested plots. We
can add more than 2 plots in a
nested block.
An example of a simple block
This is an example of single
block for an ideogram.
22. Global vs Local parameters
<plots>
type
color
# start of plots block
= line
= grey
<plot> # start of first plot
file = data/file1.txt
..........
</plot>
<plot>
# end of first plot
# start of second plot
file = data/file2.txt
..........
</plot> # end of second plot
<plot>
type
color
file
</plot>
# start of third plot
= scatter
= blue
= data/file3.txt
# end of third plot
Global parameters type and
color. First two plots will be of
grey color line plots.
22</plots> # end of plots block
Local parameters type and
color are specific to third
plot only. So third plot will
be of blue scatterd.
27. 27
●
User Should always import these
additional conf files
# colors, fonts and fill patterns
<<include etc/colors_fonts_patterns.conf>>
# system and debug parameters
<<include etc/housekeeping.conf>>
# image parameters
<<include etc/image.conf>>
29. hs10 60001 134200
hs10 134201 234000
hs10 234001 317600
hs10 317601 445100
...................................
chr10 60001 134200
chr10 134201 234000
chr10 234001 317600
chr10 317601 445100
...................................
Chr Start Stop Values
Data format for different
tracks for Circos plot is 4
column data ie
Chr Start Stop Values
But before creating any
plot “chr” needs to be
change to “hs” and
header should be removed
as shown in the right hand
side image.
Data formats for Circos tracks
..continue
30. hs10
hs10
hs10
hs10
50632 50632 CALY
134201 234000 ------
219699 219699 UNC5B
317601 445100 ------
...................................
hs10
hs10
hs10
hs10
50632 50632
134201 234000
219699 219699
317601 445100
...................................
Chr Start Stop Values
Data format for different
tracks for Circos plot is 4
column data ie
Chr Start Stop Values
But before creating any
plot “chr” needs to be
change to “hs” and
header should be
removed as shown in the
right hand side image.
30
31. <ideogram>
<spacing>
default = 0.005r
</spacing>
radius = 0.90r
thickness = 30p
fill = yes
#Radius of ideogram
# thickness of ideogram
# Color in ideogram
show_label = yes
label_font = default
label_radius
label_size
label_parallel
label_case
label_center
</ideogram>
= dims(ideogram,radius)+50p
= 50
= yes
= upper
= yes
radius=0.90r
31
Parameter Explained for a simple
ideogram