Analysis and Integration of Big Data from Next-Generation Genomics, Epigenomics, and Transcriptomics
|
|
- Charity Boone
- 8 years ago
- Views:
Transcription
1 Analysis and Integration of Big Data from Next-Generation Genomics, Epigenomics, and Transcriptomics Christopher Benner, PhD Director, Integrative Genomics and Bioinformatics Core (IGC) idash Webinar, April 17 th 2015
2 Overview for Webinar: Quick introduction to the wider world of next-generation sequencing (NGS) Overview of HOMER, our software for NGS analysis Using advanced NGS assays to understand B cell development and the generation of antibody repertoires Quick teaser on how innovative NGS assays and genetics can enhance our understanding of transcriptional mechanisms
3 Next-Generation Sequencing Large Consortiums 1000 Genomes Project TCGA (cancer) many many more Illumina sequencing can sequence any DNA fragment from bp in length
4 NGS Innovation RNA-Seq (i.e. gene expression) GRO-Seq (i.e. transcription rates) ChIP-Seq DNA:protein interactions
5 Graphic from Illumina Inc.
6 HOMER (Hypergeometric Optimization of Motif EnRichment) Next-generation Sequencing Analysis for Quantitative Genomics Software suite for UNIX command-line environment (works downstream of manufacture s pipeline and mapping to reference genome) Quality Control for Experiments Basic and advanced analysis, annotation, and visualization capabilities General framework handles data from different types of quantitative sequencing (ChIP-Seq/RNA-Seq/GRO- Seq/DNase-Seq/etc.) Can work with any organism Regulatory element analysis De novo Motif Discovery Sort out spatial relationships between sequence features
7 Overview of HOMER
8 HOMER Functionality Any organism with a FASTA file can be analyzed with HOMER Model organisms are preconfigured with annotation information: Human, mouse, rat, zebrafish, drosophila, C. elegans, yeast, pombe, arabidopsis Genomes annotated on the UCSC Genome Browser are easy to incorporate, but any custom genome can be added with annotation files (i.e., GTF files)
9 HOMER Tutorials (on website)
10 Best way to develop NGS Analysis methods: Do it in the context of research! Biology Bioinformatics NGS Methods Development
11 Interplay between epigenetics, spatial genome conformation, and transcription in B-lymphocyte development
12 Interplay between epigenetics, spatial genome conformation, and transcription in B-lymphocyte development
13 Why study transition from pre-pro-b to pro-b cells? Lineage commitment: pro-b cells cannot dedifferentiate back to hematopoietic stem cells. i.e. pre-pro-b cells can be used to reconstitute the whole immune system Antibody Recombination: Pro-B cells are paused at the exact stage when VDJ recombination is set to occur B cell marker expression: Key cell-surface markers and transcription factors are induced in pro-b cells, including CD19, Ebf1 (Early B cell factor), Pax5, and Foxo1.
14 Mapping the Epigenome
15 Unbiased Discovery of Regulatory Features in pro-b cells
16 Relationship between Transcription Factors and Epigenetic Modifications Transcription Factors
17 Unbiased Discovery of Lineage Determining Transcription Factors Ebf1, E2A mice fail to make pro-b cells
18 Hi-C: Mapping 3D interactions in the genome GRO- Seq Hi-C method from Lieberman-Aiden et al., Science 2009
19 Most significant interactions in the genome occur at epigenetically modified locations
20 Cell-type specific interactions often change their DNA methylation status
21 Genome Organization into topological domains pre-pro-b pro-b TAD definition by Dixon et al. 2012
22 CTCF binding site is directional CTCF only makes interactions with other CTCF sites in a specific direction along the DNA determined by the orientation of the motif 5 boundary of TAD 3 boundary of TAD
23 Clusters of CTCF sites form Super Anchors pre-pro-b pro-b
24 Clusters of CTCF sites form Super Anchors Igh Firre Foxo1 Borrowing from Richard Young s Super Enhancer concept, we can define over 2500 CTCF super anchors in the data Only 25% of CTCF sites are found at boundaries. However, nearly 50% of Super Anchors are found at the boundaries of topological domains.
25 Overview of Immunoglobulin Heavy Chain Locus
26 Igh Locus in the Genome (~3 Mb) Top Super Anchor
27 Igh Locus in the Genome (~3 Mb) To generate full repertoires of Antibodies, each V region needs to find a way to interact with the D regions to recombine Top Super Anchor
28 V regions in Igh locus are associated with CTCF sites In addition, each CTCF site associated with V regions is in a consistent orientation
29 CTCF Orientation at D/J regions
30 Igh Locus Model VD recombination target Top Super Anchor (looping backstop)
31 Summary NGS is a lot more than genome sequencing Integration of different data types empowers discovery where any given data type alone falls short The DNA sequence (CTCF motifs and their orientation) dictates the structure of the genome to accomplish critical tasks such as VDJ recombination
32 Future Directions: Leveraging Genetics
33
34 Thanks!
Shouguo Gao Ph. D Department of Physics and Comprehensive Diabetes Center
Computational Challenges in Storage, Analysis and Interpretation of Next-Generation Sequencing Data Shouguo Gao Ph. D Department of Physics and Comprehensive Diabetes Center Next Generation Sequencing
More informationNext Generation Sequencing
Next Generation Sequencing Technology and applications 10/1/2015 Jeroen Van Houdt - Genomics Core - KU Leuven - UZ Leuven 1 Landmarks in DNA sequencing 1953 Discovery of DNA double helix structure 1977
More informationG E N OM I C S S E RV I C ES
GENOMICS SERVICES THE NEW YORK GENOME CENTER NYGC is an independent non-profit implementing advanced genomic research to improve diagnosis and treatment of serious diseases. capabilities. N E X T- G E
More informationGo where the biology takes you. Genome Analyzer IIx Genome Analyzer IIe
Go where the biology takes you. Genome Analyzer IIx Genome Analyzer IIe Go where the biology takes you. To published results faster With proven scalability To the forefront of discovery To limitless applications
More informationA Primer of Genome Science THIRD
A Primer of Genome Science THIRD EDITION GREG GIBSON-SPENCER V. MUSE North Carolina State University Sinauer Associates, Inc. Publishers Sunderland, Massachusetts USA Contents Preface xi 1 Genome Projects:
More informationGMQL Functional Comparison with BEDTools and BEDOPS
GMQL Functional Comparison with BEDTools and BEDOPS Genomic Computing Group Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano This document presents a functional comparison
More informationDiscovery & Modeling of Genomic Regulatory Networks with Big Data
Discovery & Modeling of Genomic Regulatory Networks with Big Data Hamid Bolouri Division of Human Biology Fred Hutchinson Cancer Research Center labs.fhcrc.org/bolouri I have no financial relationships
More informationGeneProf and the new GeneProf Web Services
GeneProf and the new GeneProf Web Services Florian Halbritter florian.halbritter@ed.ac.uk Stem Cell Bioinformatics Group (Simon R. Tomlinson) simon.tomlinson@ed.ac.uk December 10, 2012 Florian Halbritter
More informationOverview. Transcriptional cascades. Amazing aspects of lineage plasticity. Conventional (B2) B cell development
Overview B cell development Transcriptional cascades Amazing aspects of lineage plasticity Conventional (B2) B cell development What happens to an autoreactive B cell? B1 vs B2 cells Key anatomical sites
More informationCCR Biology - Chapter 9 Practice Test - Summer 2012
Name: Class: Date: CCR Biology - Chapter 9 Practice Test - Summer 2012 Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Genetic engineering is possible
More informationPartek Methylation User Guide
Partek Methylation User Guide Introduction This user guide will explain the different types of workflow that can be used to analyze methylation datasets. Under the Partek Methylation workflow there are
More informationComparing Methods for Identifying Transcription Factor Target Genes
Comparing Methods for Identifying Transcription Factor Target Genes Alena van Bömmel (R 3.3.73) Matthew Huska (R 3.3.18) Max Planck Institute for Molecular Genetics Folie 1 Transcriptional Regulation TF
More informationTutorial for Windows and Macintosh. Preparing Your Data for NGS Alignment
Tutorial for Windows and Macintosh Preparing Your Data for NGS Alignment 2015 Gene Codes Corporation Gene Codes Corporation 775 Technology Drive, Ann Arbor, MI 48108 USA 1.800.497.4939 (USA) 1.734.769.7249
More informationELITE Custom Antibody Services
ELITE Custom Antibody Services ELITE Custom Antibody Services Experience, confidence, and understanding As a manufacturer and service provider, we have the experience, confidence, and understanding to
More informationRETRIEVING SEQUENCE INFORMATION. Nucleotide sequence databases. Database search. Sequence alignment and comparison
RETRIEVING SEQUENCE INFORMATION Nucleotide sequence databases Database search Sequence alignment and comparison Biological sequence databases Originally just a storage place for sequences. Currently the
More informationOrganization and analysis of NGS variations. Alireza Hadj Khodabakhshi Research Investigator
Organization and analysis of NGS variations. Alireza Hadj Khodabakhshi Research Investigator Why is the NGS data processing a big challenge? Computation cannot keep up with the Biology. Source: illumina
More informationThe University is comprised of seven colleges and offers 19. including more than 5000 graduate students.
UNC CHARLOTTE A doctoral, research-intensive university, UNC Charlotte is the largest institution of higher education in the Charlotte region. The University is comprised of seven colleges and offers 19
More informationFast. Integrated Genome Browser & DAS. Easy. Flexible. Free. bioviz.org/igb
bioviz.org/igb Integrated Genome Browser & DAS Free tools for visualizing, sharing, and publishing genomes and genome-scale data. Easy Flexible Fast Free Funding: National Science Foundation Arabidopsis
More informationGenBank, Entrez, & FASTA
GenBank, Entrez, & FASTA Nucleotide Sequence Databases First generation GenBank is a representative example started as sort of a museum to preserve knowledge of a sequence from first discovery great repositories,
More informationAnalysis of ChIP-seq data in Galaxy
Analysis of ChIP-seq data in Galaxy November, 2012 Local copy: https://galaxy.wi.mit.edu/ Joint project between BaRC and IT Main site: http://main.g2.bx.psu.edu/ 1 Font Conventions Bold and blue refers
More informationChapter 2. imapper: A web server for the automated analysis and mapping of insertional mutagenesis sequence data against Ensembl genomes
Chapter 2. imapper: A web server for the automated analysis and mapping of insertional mutagenesis sequence data against Ensembl genomes 2.1 Introduction Large-scale insertional mutagenesis screening in
More informationFlipFlop: Fast Lasso-based Isoform Prediction as a Flow Problem
FlipFlop: Fast Lasso-based Isoform Prediction as a Flow Problem Elsa Bernard Laurent Jacob Julien Mairal Jean-Philippe Vert September 24, 2013 Abstract FlipFlop implements a fast method for de novo transcript
More informationChapter 5: Organization and Expression of Immunoglobulin Genes
Chapter 5: Organization and Expression of Immunoglobulin Genes I. Genetic Model Compatible with Ig Structure A. Two models for Ab structure diversity 1. Germ-line theory: maintained that the genome contributed
More informationEuropean Genome-phenome Archive database of human data consented for use in biomedical research at the European Bioinformatics Institute
European Genome-phenome Archive database of human data consented for use in biomedical research at the European Bioinformatics Institute Justin Paschall Team Leader Genetic Variation / EGA ! European Genome-phenome
More informationComputational Genomics. Next generation sequencing (NGS)
Computational Genomics Next generation sequencing (NGS) Sequencing technology defies Moore s law Nature Methods 2011 Log 10 (price) Sequencing the Human Genome 2001: Human Genome Project 2.7G$, 11 years
More informationHuman-Mouse Synteny in Functional Genomics Experiment
Human-Mouse Synteny in Functional Genomics Experiment Ksenia Krasheninnikova University of the Russian Academy of Sciences, JetBrains krasheninnikova@gmail.com September 18, 2012 Ksenia Krasheninnikova
More informationLifeScope Genomic Analysis Software 2.5
USER GUIDE LifeScope Genomic Analysis Software 2.5 Graphical User Interface DATA ANALYSIS METHODS AND INTERPRETATION Publication Part Number 4471877 Rev. A Revision Date November 2011 For Research Use
More informationGenetomic Promototypes
Genetomic Promototypes Mirkó Palla and Dana Pe er Department of Mechanical Engineering Clarkson University Potsdam, New York and Department of Genetics Harvard Medical School 77 Avenue Louis Pasteur Boston,
More informationThe Galaxy workflow. George Magklaras PhD RHCE
The Galaxy workflow George Magklaras PhD RHCE Biotechnology Center of Oslo & The Norwegian Center of Molecular Medicine University of Oslo, Norway http://www.biotek.uio.no http://www.ncmm.uio.no http://www.no.embnet.org
More informationCloud Computing Solutions for Genomics Across Geographic, Institutional and Economic Barriers
Cloud Computing Solutions for Genomics Across Geographic, Institutional and Economic Barriers Ntinos Krampis Asst. Professor J. Craig Venter Institute kkrampis@jcvi.org http://www.jcvi.org/cms/about/bios/kkrampis/
More informationIntroduction To Epigenetic Regulation: How Can The Epigenomics Core Services Help Your Research? Maria (Ken) Figueroa, M.D. Core Scientific Director
Introduction To Epigenetic Regulation: How Can The Epigenomics Core Services Help Your Research? Maria (Ken) Figueroa, M.D. Core Scientific Director Gene expression depends upon multiple factors Gene Transcription
More informationVersion 5.0 Release Notes
Version 5.0 Release Notes 2011 Gene Codes Corporation Gene Codes Corporation 775 Technology Drive, Ann Arbor, MI 48108 USA 1.800.497.4939 (USA) +1.734.769.7249 (elsewhere) +1.734.769.7074 (fax) www.genecodes.com
More informationKMS-Specialist & Customized Biosimilar Service
KMS-Specialist & Customized Biosimilar Service 1. Polyclonal Antibody Development Service KMS offering a variety of Polyclonal Antibody Services to fit your research and production needs. we develop polyclonal
More informationOverview of Next Generation Sequencing platform technologies
Overview of Next Generation Sequencing platform technologies Dr. Bernd Timmermann Next Generation Sequencing Core Facility Max Planck Institute for Molecular Genetics Berlin, Germany Outline 1. Technologies
More informationAppendix 2 Molecular Biology Core Curriculum. Websites and Other Resources
Appendix 2 Molecular Biology Core Curriculum Websites and Other Resources Chapter 1 - The Molecular Basis of Cancer 1. Inside Cancer http://www.insidecancer.org/ From the Dolan DNA Learning Center Cold
More informationFaculty of Medicine. Settore disciplinare: BIO/10. functional domains. Monica Soldi. IFOM-IEO Campus, Milan. Matricola n. R08407
PhD degree in Molecular Medicine European School of Molecular Medicine (SEMM), University of Milan and University of Naples Federico II Faculty of Medicine Settore disciplinare: BIO/10 Establishment and
More informationNECC History. Karl V. Steiner 2011 Annual NECC Meeting, Orono, Maine March 15, 2011
NECC History Karl V. Steiner 2011 Annual NECC Meeting, Orono, Maine March 15, 2011 EPSCoR Cyberinfrastructure Workshop First regional NENI (now NECC) Workshop held in Vermont in August 2007 Workshop heldinkentucky
More informationThe National Institute of Genomic Medicine (INMEGEN) was
Genome is...... the complete set of genetic information contained within all of the chromosomes of an organism. It defines the particular phenotype of an individual. What is Genomics? The study of the
More informationBioinformatics Unit Department of Biological Services. Get to know us
Bioinformatics Unit Department of Biological Services Get to know us Domains of Activity IT & programming Microarray analysis Sequence analysis Bioinformatics Team Biostatistical support NGS data analysis
More informationNext Generation Sequencing: Technology, Mapping, and Analysis
Next Generation Sequencing: Technology, Mapping, and Analysis Gary Benson Computer Science, Biology, Bioinformatics Boston University gbenson@bu.edu http://tandem.bu.edu/ The Human Genome Project took
More informationSchool of Nursing. Presented by Yvette Conley, PhD
Presented by Yvette Conley, PhD What we will cover during this webcast: Briefly discuss the approaches introduced in the paper: Genome Sequencing Genome Wide Association Studies Epigenomics Gene Expression
More information-> Integration of MAPHiTS in Galaxy
Enabling NGS Analysis with(out) the Infrastructure, 12:0512 Development of a workflow for SNPs detection in grapevine From Sets to Graphs: Towards a Realistic Enrichment Analy species: MAPHiTS -> Integration
More informationSystematic discovery of regulatory motifs in human promoters and 30 UTRs by comparison of several mammals
Systematic discovery of regulatory motifs in human promoters and 30 UTRs by comparison of several mammals Xiaohui Xie 1, Jun Lu 1, E. J. Kulbokas 1, Todd R. Golub 1, Vamsi Mootha 1, Kerstin Lindblad-Toh
More informationGeneSifter: Next Generation Data Management and Analysis for Next Generation Sequencing
for Next Generation Sequencing Dale Baskin, N. Eric Olson, Laura Lucas, Todd Smith 1 Abstract Next generation sequencing technology is rapidly changing the way laboratories and researchers approach the
More informationCurrent Motif Discovery Tools and their Limitations
Current Motif Discovery Tools and their Limitations Philipp Bucher SIB / CIG Workshop 3 October 2006 Trendy Concepts and Hypotheses Transcription regulatory elements act in a context-dependent manner.
More informationAGILENT S BIOINFORMATICS ANALYSIS SOFTWARE
ACCELERATING PROGRESS IS IN OUR GENES AGILENT S BIOINFORMATICS ANALYSIS SOFTWARE GENESPRING GENE EXPRESSION (GX) MASS PROFILER PROFESSIONAL (MPP) PATHWAY ARCHITECT (PA) See Deeper. Reach Further. BIOINFORMATICS
More informationNebula A web-server for advanced ChIP-seq data analysis. Tutorial. by Valentina BOEVA
Nebula A web-server for advanced ChIP-seq data analysis Tutorial by Valentina BOEVA Content Upload data to the history pp. 5-6 Check read number and sequencing quality pp. 7-9 Visualize.BAM files in UCSC
More informationTCRG TCRA/D IGH IGK/L
Assays immunoseq Assay The inquiry to insight solution for profiling T- and B-cell s Immunosequencing solutions for multiple species and loci Illuminate the adaptive immune system with bias-controlled
More informationRT 2 Profiler PCR Array: Web-Based Data Analysis Tutorial
RT 2 Profiler PCR Array: Web-Based Data Analysis Tutorial Samuel J. Rulli, Jr., Ph.D. qpcr-applications Scientist Samuel.Rulli@QIAGEN.com Pathway Focused Research from Sample Prep to Data Analysis! -2-
More informationAntibody Structure, and the Generation of B-cell Diversity CHAPTER 4 04/05/15. Different Immunoglobulins
Antibody Structure, and the Generation of B-cell Diversity B cells recognize their antigen without needing an antigen presenting cell CHAPTER 4 Structure of Immunoglobulin G Different Immunoglobulins Differences
More informationSuperior TrueMAB TM monoclonal antibodies for the recognition of proteins native epitopes
Superior TrueMAB TM monoclonal antibodies for the recognition of proteins native epitopes Outlines Brief introduction of OriGene s mission on gene-centric product solution. TrueMAB monoclonal antibody
More informationData Analysis & Management of High-throughput Sequencing Data. Quoclinh Nguyen Research Informatics Genomics Core / Medical Research Institute
Data Analysis & Management of High-throughput Sequencing Data Quoclinh Nguyen Research Informatics Genomics Core / Medical Research Institute Current Issues Current Issues The QSEQ file Number files per
More informationBiotechnology and Life Science Marketing Services Mailing List and Data Card Order Form
C H I Cambridge Healthtech Institute s Biotechnology and Life Science Marketing Services Mailing List and Data Card Order Form Over 800,000 names segmented by scientific interest Featuring U.S and International
More informationNew solutions for Big Data Analysis and Visualization
New solutions for Big Data Analysis and Visualization From HPC to cloud-based solutions Barcelona, February 2013 Nacho Medina imedina@cipf.es http://bioinfo.cipf.es/imedina Head of the Computational Biology
More informationIntroduction to transcriptome analysis using High Throughput Sequencing technologies (HTS)
Introduction to transcriptome analysis using High Throughput Sequencing technologies (HTS) A typical RNA Seq experiment Library construction Protocol variations Fragmentation methods RNA: nebulization,
More informationMaster's projects at ITMO University. Daniil Chivilikhin PhD Student @ ITMO University
Master's projects at ITMO University Daniil Chivilikhin PhD Student @ ITMO University General information Guidance from our lab's researchers Publishable results 2 Research areas Research at ITMO Evolutionary
More informationAn example of bioinformatics application on plant breeding projects in Rijk Zwaan
An example of bioinformatics application on plant breeding projects in Rijk Zwaan Xiangyu Rao 17-08-2012 Introduction of RZ Rijk Zwaan is active worldwide as a vegetable breeding company that focuses on
More informationFrequently Asked Questions Next Generation Sequencing
Frequently Asked Questions Next Generation Sequencing Import These Frequently Asked Questions for Next Generation Sequencing are some of the more common questions our customers ask. Questions are divided
More informationRunning a Bioinformatics Help Desk. Solved and Unsolved Problems
2012/07/16 Running a Bioinformatics Help Desk from drawing colorful plasmid maps to working with HiSeq data Solved and Unsolved Problems Hans-Rudolf Hotz ( hrh@fmi.ch ) Friedrich Miescher Institute for
More informationBioruptor NGS: Unbiased DNA shearing for Next-Generation Sequencing
STGAAC STGAACT GTGCACT GTGAACT STGAAC STGAACT GTGCACT GTGAACT STGAAC STGAAC GTGCAC GTGAAC Wouter Coppieters Head of the genomics core facility GIGA center, University of Liège Bioruptor NGS: Unbiased DNA
More informationmygenomatix - secure cloud for NGS analysis
mygenomatix Speed. Quality. Results. mygenomatix - secure cloud for NGS analysis background information & contents 2011 Genomatix Software GmbH Bayerstr. 85a 80335 Munich Germany info@genomatix.de www.genomatix.de
More informationPREDA S4-classes. Francesco Ferrari October 13, 2015
PREDA S4-classes Francesco Ferrari October 13, 2015 Abstract This document provides a description of custom S4 classes used to manage data structures for PREDA: an R package for Position RElated Data Analysis.
More informationMeDIP-chip service report
MeDIP-chip service report Wednesday, 20 August, 2008 Sample source: Cells from University of *** Customer: ****** Organization: University of *** Contents of this service report General information and
More informationThe Segway annotation of ENCODE data
The Segway annotation of ENCODE data Michael M. Hoffman Department of Genome Sciences University of Washington Overview 1. ENCODE Project 2. Semi-automated genomic annotation 3. Chromatin 4. RNA-seq Functional
More informationJust the Facts: A Basic Introduction to the Science Underlying NCBI Resources
1 of 8 11/7/2004 11:00 AM National Center for Biotechnology Information About NCBI NCBI at a Glance A Science Primer Human Genome Resources Model Organisms Guide Outreach and Education Databases and Tools
More informationDelivering the power of the world s most successful genomics platform
Delivering the power of the world s most successful genomics platform NextCODE Health is bringing the full power of the world s largest and most successful genomics platform to everyday clinical care NextCODE
More informationBIOS 6660: Analysis of Biomedical Big Data Using R and Bioconductor, Fall 2015 Computer Lab: Education 2 North Room 2201DE (TTh 10:30 to 11:50 am)
BIOS 6660: Analysis of Biomedical Big Data Using R and Bioconductor, Fall 2015 Computer Lab: Education 2 North Room 2201DE (TTh 10:30 to 11:50 am) Course Instructor: Dr. Tzu L. Phang, Assistant Professor
More informationBiology & Big Data. Debasis Mitra Professor, Computer Science, FIT
Biology & Big Data Debasis Mitra Professor, Computer Science, FIT Cloud? Debasis Mitra, Florida Tech Data as Service Transparent to user Multiple locations Robustness Software as Service Software location
More informationThe world of non-coding RNA. Espen Enerly
The world of non-coding RNA Espen Enerly ncrna in general Different groups Small RNAs Outline mirnas and sirnas Speculations Common for all ncrna Per def.: never translated Not spurious transcripts Always/often
More informationCore Facility Genomics
Core Facility Genomics versatile genome or transcriptome analyses based on quantifiable highthroughput data ascertainment 1 Topics Collaboration with Harald Binder and Clemens Kreutz Project: Microarray
More informationNext generation sequencing and proteomics. to study the antibody repertoire. and generate monoclonal antibodies
Next generation sequencing and proteomics to study the antibody repertoire and generate monoclonal antibodies Mario Nuvolone Technical Journal Club 7 th May 2013 Antibodies Weiner Nat Rev Cancer 2007 Genomic
More informationHistory of DNA Sequencing & Current Applications
History of DNA Sequencing & Current Applications Christopher McLeod President & CEO, 454 Life Sciences, A Roche Company IMPORTANT NOTICE Intended Use Unless explicitly stated otherwise, all Roche Applied
More informationBIO 3350: ELEMENTS OF BIOINFORMATICS PARTIALLY ONLINE SYLLABUS
BIO 3350: ELEMENTS OF BIOINFORMATICS PARTIALLY ONLINE SYLLABUS NEW YORK CITY COLLEGE OF TECHNOLOGY The City University Of New York School of Arts and Sciences Biological Sciences Department Course title:
More informationNCBI resources III: GEO and ftp site. Yanbin Yin Spring 2013
NCBI resources III: GEO and ftp site Yanbin Yin Spring 2013 1 Homework assignment 2 Search colon cancer at GEO and find a data Series and perform a GEO2R analysis Write a report (in word or ppt) to include
More informationIntroduction. Overview of Bioconductor packages for short read analysis
Overview of Bioconductor packages for short read analysis Introduction General introduction SRAdb Pseudo code (Shortread) Short overview of some packages Quality assessment Example sequencing data in Bioconductor
More informationGenome and DNA Sequence Databases. BME 110/BIOL 181 CompBio Tools Todd Lowe March 31, 2009
Genome and DNA Sequence Databases BME 110/BIOL 181 CompBio Tools Todd Lowe March 31, 2009 Admin Reading: Chapters 1 & 2 Notes available in PDF format on-line (see class calendar page): http://www.soe.ucsc.edu/classes/bme110/spring09/bme110-calendar.html
More informationNext generation sequencing (NGS)
Next generation sequencing (NGS) Vijayachitra Modhukur BIIT modhukur@ut.ee 1 Bioinformatics course 11/13/12 Sequencing 2 Bioinformatics course 11/13/12 Microarrays vs NGS Sequences do not need to be known
More informationLeading Genomics. Diagnostic. Discove. Collab. harma. Shanghai Cambridge, MA Reykjavik
Leading Genomics Diagnostic harma Discove Collab Shanghai Cambridge, MA Reykjavik Global leadership for using the genome to create better medicine WuXi NextCODE provides a uniquely proven and integrated
More informationBIOINF 525 Winter 2016 Foundations of Bioinformatics and Systems Biology http://tinyurl.com/bioinf525-w16
Course Director: Dr. Barry Grant (DCM&B, bjgrant@med.umich.edu) Description: This is a three module course covering (1) Foundations of Bioinformatics, (2) Statistics in Bioinformatics, and (3) Systems
More informationCloud BioLinux: Pre-configured and On-demand Bioinformatics Computing for the Genomics Community
Cloud BioLinux: Pre-configured and On-demand Bioinformatics Computing for the Genomics Community Ntinos Krampis Asst. Professor J. Craig Venter Institute kkrampis@jcvi.org http://www.jcvi.org/cms/about/bios/kkrampis/
More informationAn Overview of Cells and Cell Research
An Overview of Cells and Cell Research 1 An Overview of Cells and Cell Research Chapter Outline Model Species and Cell types Cell components Tools of Cell Biology Model Species E. Coli: simplest organism
More informationData search and visualization tools at the Comparative Evolutionary Genomics of Cotton Web resource
Data search and visualization tools at the Comparative Evolutionary Genomics of Cotton Web resource Alan R. Gingle Andrew H. Paterson Joshua A. Udall Jonathan F. Wendel 1 CEGC project goals set the context
More informationUnderstanding West Nile Virus Infection
Understanding West Nile Virus Infection The QIAGEN Bioinformatics Solution: Biomedical Genomics Workbench (BXWB) + Ingenuity Pathway Analysis (IPA) Functional Genomics & Predictive Medicine, May 21-22,
More informationImmunology Ambassador Guide (updated 2014)
Immunology Ambassador Guide (updated 2014) Immunity and Disease We will talk today about the immune system and how it protects us from disease. Also, we ll learn some unique ways that our immune system
More informationNext generation DNA sequencing technologies. theory & prac-ce
Next generation DNA sequencing technologies theory & prac-ce Outline Next- Genera-on sequencing (NGS) technologies overview NGS applica-ons NGS workflow: data collec-on and processing the exome sequencing
More informationRemoving Sequential Bottlenecks in Analysis of Next-Generation Sequencing Data
Removing Sequential Bottlenecks in Analysis of Next-Generation Sequencing Data Yi Wang, Gagan Agrawal, Gulcin Ozer and Kun Huang The Ohio State University HiCOMB 2014 May 19 th, Phoenix, Arizona 1 Outline
More informationChallenges associated with analysis and storage of NGS data
Challenges associated with analysis and storage of NGS data Gabriella Rustici Research and training coordinator Functional Genomics Group gabry@ebi.ac.uk Next-generation sequencing Next-generation sequencing
More informationAn Introduction to Genomics and SAS Scientific Discovery Solutions
An Introduction to Genomics and SAS Scientific Discovery Solutions Dr Karen M Miller Product Manager Bioinformatics SAS EMEA 16.06.03 Copyright 2003, SAS Institute Inc. All rights reserved. 1 Overview!
More informationBIOL 3200 Spring 2015 DNA Subway and RNA-Seq Data Analysis
BIOL 3200 Spring 2015 DNA Subway and RNA-Seq Data Analysis By the end of this lab students should be able to: Describe the uses for each line of the DNA subway program (Red/Yellow/Blue/Green) Describe
More informationTECHNOLOGIES, PRODUCTS & SERVICES for MOLECULAR DIAGNOSTICS, MDx ABA 298
DIAGNOSTICS BUSINESS ANALYSIS SERIES: TECHNOLOGIES, PRODUCTS & SERVICES for MOLECULAR DIAGNOSTICS, MDx ABA 298 By ADAMS BUSINESS ASSOCIATES MAY 2014. May 2014 ABA 298 1 Technologies, Products & Services
More informationModelli murini di linfomagenesi. Roberto Chiarle, M.D. Firenze, 24/11/2011
Modelli murini di linfomagenesi Roberto Chiarle, M.D. Firenze, 24/11/2011 Chromosomal translocations in tumors Translocation are common in many types of tumors and are often considered primary oncogenic
More informationPolyLens: Software for Map-based Visualization and Analysis of Genome-scale Polymorphism Data
PolyLens: Software for Map-based Visualization and Analysis of Genome-scale Polymorphism Data Ryhan Pathan Department of Electrical Engineering and Computer Science University of Tennessee Knoxville Knoxville,
More informationThe Advantages and Disadvantages of Using Gene Ontology
Extracting Biological Information from Gene Lists Simon Andrews, Laura Biggins, Boo Virk simon.andrews@babraham.ac.uk laura.biggins@babraham.ac.uk boo.virk@babraham.ac.uk v1.0 Biological material Sample
More informationGuidance for Industry
Guidance for Industry Interpreting Sameness of Monoclonal Antibody Products Under the Orphan Drug Regulations U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation
More informationBiochemistry Major Talk 2014-15. Welcome!!!!!!!!!!!!!!
Biochemistry Major Talk 2014-15 August 14, 2015 Department of Biochemistry The University of Hong Kong Welcome!!!!!!!!!!!!!! Introduction to Biochemistry A four-minute video: http://www.youtube.com/watch?v=tpbamzq_pue&l
More informationBBSRC TECHNOLOGY STRATEGY: TECHNOLOGIES NEEDED BY RESEARCH KNOWLEDGE PROVIDERS
BBSRC TECHNOLOGY STRATEGY: TECHNOLOGIES NEEDED BY RESEARCH KNOWLEDGE PROVIDERS 1. The Technology Strategy sets out six areas where technological developments are required to push the frontiers of knowledge
More informationSystems Biology through Data Analysis and Simulation
Biomolecular Networks Initiative Systems Biology through Data Analysis and Simulation William Cannon Computational Biosciences 5/30/03 Cellular Dynamics Microbial Cell Dynamics Data Mining Nitrate NARX
More informationVisualisation tools for next-generation sequencing
Visualisation tools for next-generation sequencing Simon Anders EBI is an Outstation of the European Molecular Biology Laboratory. Outline Exploring and checking alignment with alignment viewers Using
More informationOutline. MicroRNA Bioinformatics. microrna biogenesis. short non-coding RNAs not considered in this lecture. ! Introduction
Outline MicroRNA Bioinformatics Rickard Sandberg Dept. of Cell and Molecular Biology (CMB) Karolinska Institutet! Introduction! microrna target site prediction! Useful resources 2 short non-coding RNAs
More informationLESSON 3: ANTIBODIES/BCR/B-CELL RESPONSES
Introduction to immunology. LESSON 3: ANTIBODIES/BCR/B-CELL RESPONSES Today we will get to know: The antibodies How antibodies are produced, their classes and their maturation processes Antigen recognition
More information