Overview sequence projects
|
|
|
- Theodora Hill
- 10 years ago
- Views:
Transcription
1 Overview sequence projects Bioassist NGS meeting Barbera van Schaik KEBB - Bioinformatics Laboratory [email protected]
2 NGS at the Academic Medical Center Sequence facility Laboratory Division Bioinformatics Laboratory - KEBB Roche (454) sequencer ABI Solid sequencer 2
3 IT resources Sequence laboratory Roche onrig Roche cluster Solid on-instrument cluster Data analysis server (4 dual core, 5TB) Bioinformatics laboratory Linux server 1: 16 quad core Linux server 2: 8 quad core Shared file system 2TB Other Biostatistics cluster (specs?) Central storage (ICT department) Backups at SARA Dutch grid (VLe, EBioInfra, VBrowser, Moteur) 3
4 Software Software we use: blat (local and on grid) blast (on grid) roche package celera assembler (cabog) R solid RNApipeline Programming language Perl and shell scripting Java 4
5 NGS data analysis at the AMC Basics: Group sequences per MID/barcode, primer, or any other sequence Count things Run existing analysis software (loops, file handling) Calculate read coverage (to load into the genome browser) Projects Mutation screening T- and B-cell variants Virus discovery Alternative splicing Bacterial genomes microrna expression... Several departments Rheumatology / Immunology Virus Discovery Unit Neurogenetics Neurology / Medical microbiology Experimental virology / Sequence lab 5
6 T and B cell variation Rheumatology / Immunology
7 TCR Rheumatoid arthritis 7
8 Total theoretical variation Paul Klarenbeek 8
9 Goal: identify and enumerate TCR variants Thymocytes Germline DNA mrna Paul Klarenbeek CDR3 region Unique for each clonal expansion 9
10 T-cell pipeline 5 C V N D N J polya variable region bp Convert sff to fasta+quality scores Identify: MIDs, primers Sort sequences based on MID and region Also applicable to B-cell variants (Marieke Doorenspleet) Identify the V, J and C segments Count variants Locate highly variable area Quality control Perl scripts Roche software BLAT Access/Excel
11 Virus discovery Virus discovery unit
12 Vidisca Extract virus DNA and RNA Digest DNA Amplify Sequence with selective primers Selective PCR (16 primer combin.) Direct 454 sequencing 12 Michel de Vries
13 Blast on grid with e-bioinfra 13
14 Splice variant detection Neurogenetics
15 Splice variant detection WT b 12 tissue-specific b 12 tissue-specific frameshift c 12 Katja Ritz
16 Program overview Sequence run: all data Submit grid jobs for each combination cmd> blat S1 S1 > blat.out cmd> R_graph.pl blat.out Split data Sequence set n Sequence set 3 Sequence set 2 Sequence set 1 All jobs finished? si no Wait Collect output Merge identical sequences Reduced sequence set n Reduced sequence set 3 Reduced sequence set 2 Reduced sequence set 1 Blat groups against genome Compare all sequences within one set Check if groups are correct 16
17 Example of output 17
18 Comparison of bacterial genomes Neurology / Medical microbiology
19 Comparison of bacteria strains between two groups of patients with meningitis (good vs bad outcome) Whole genome sequencing (20 strains are sequenced) Sort samples per MID Genome assembly with Cabog and Newbler (de novo and with reference sequences) Genome annotation using the Comprehensive Microbial Resource Differences between strains will be detected using a DNA only detection tool Jurgen Piet 19
20 Sequence assembly MID sorting: allowing for 0 or 2 errors Newbler 2.0 Newbler 2.3 Cabog 5.4 Cabog 6-beta 20 Note that the commandline and GUI interface of Newbler gives different results! (Check tips&tricks on Bioassist wiki) Combine assemblies?
21 Keep track of projects Bioinformatics laboratory
22 Communication - log - file sharing 22
23 People and resources Sequencing facility operators SeqLab server DNA sequencers sequence data workstations sequence data results analyses algorithm developers workflow users BioLab server workstations Bioinformaticians biomedical researchers Research laboratories 23
24 People and labs (selection) Rheumatology / immunology Paul Klarenbeek Marieke Doorenspleet Niek de Vries Virus discovery unit Michel de Vries Martin Deijs Lia van der Hoek Neurology / Medical microbiology Jurgen Piet Ewout Jansen Diederik van de Beek Arie van der Ende Clinical genetics Olaf Mook Jean Soucy Neurogenetics / Sequence facility Katja Ritz Marja Jakobs Ted Bradley Frank Baas Bioinformatics laboratory - KEBB Angela Luyf Marcel Willemsen Barbera van Schaik Silvia D Olabarriaga Antoine van Kampen 24
Handling next generation sequence data
Handling next generation sequence data a pilot to run data analysis on the Dutch Life Sciences Grid Barbera van Schaik Bioinformatics Laboratory - KEBB Academic Medical Center Amsterdam Very short intro
Next 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
Introduction to NGS data analysis
Introduction to NGS data analysis Jeroen F. J. Laros Leiden Genome Technology Center Department of Human Genetics Center for Human and Clinical Genetics Sequencing Illumina platforms Characteristics: High
Building Bioinformatics Capacity in Africa. Nicky Mulder CBIO Group, UCT
Building Bioinformatics Capacity in Africa Nicky Mulder CBIO Group, UCT Outline What is bioinformatics? Why do we need IT infrastructure? What e-infrastructure does it require? How we are developing this
Next Generation Sequencing; Technologies, applications and data analysis
; Technologies, applications and data analysis Course 2542 Dr. Martie C.M. Verschuren Research group Analysis techniques in Life Science, Breda Prof. dr. Johan T. den Dunnen Leiden Genome Technology Center,
Next Generation Sequencing; Technologies, applications and data analysis
; Technologies, applications and data analysis Course 2542 Dr. Martie C.M. Verschuren Research group Analysis techniques in Life Science, Breda Prof. dr. Johan T. den Dunnen Leiden Genome Technology Center,
Bioinformatics 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
Managing and Conducting Biomedical Research on the Cloud Prasad Patil
Managing and Conducting Biomedical Research on the Cloud Prasad Patil Laboratory for Personalized Medicine Center for Biomedical Informatics Harvard Medical School SaaS & PaaS gmail google docs app engine
Delivering 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
Data Analysis for Ion Torrent Sequencing
IFU022 v140202 Research Use Only Instructions For Use Part III Data Analysis for Ion Torrent Sequencing MANUFACTURER: Multiplicom N.V. Galileilaan 18 2845 Niel Belgium Revision date: August 21, 2014 Page
Next 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
Chapter 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
LifeScope 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
Next generation sequencing (NGS)
Next generation sequencing (NGS) Vijayachitra Modhukur BIIT [email protected] 1 Bioinformatics course 11/13/12 Sequencing 2 Bioinformatics course 11/13/12 Microarrays vs NGS Sequences do not need to be known
BioHPC Web Computing Resources at CBSU
BioHPC Web Computing Resources at CBSU 3CPG workshop Robert Bukowski Computational Biology Service Unit http://cbsu.tc.cornell.edu/lab/doc/biohpc_web_tutorial.pdf BioHPC infrastructure at CBSU BioHPC Web
Running 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 ( [email protected] ) Friedrich Miescher Institute for
Focusing on results not data comprehensive data analysis for targeted next generation sequencing
Focusing on results not data comprehensive data analysis for targeted next generation sequencing Daniel Swan, Jolyon Holdstock, Angela Matchan, Richard Stark, John Shovelton, Duarte Mohla and Simon Hughes
Accelerate genomic breakthroughs in microbiology. Gain deeper insights with powerful bioinformatic tools.
Accelerate genomic breakthroughs in microbiology. Gain deeper insights with powerful bioinformatic tools. Empowering microbial genomics. Extensive methods. Expansive possibilities. In microbiome studies
NECC 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
Cloud 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 [email protected] http://www.jcvi.org/cms/about/bios/kkrampis/
Cloud 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 [email protected] http://www.jcvi.org/cms/about/bios/kkrampis/
BRCA1 / 2 testing by massive sequencing highlights, shadows or pitfalls?
BRCA1 / 2 testing by massive sequencing highlights, shadows or pitfalls? Giovanni Luca Scaglione, PhD ------------------------ Laboratory of Clinical Molecular Diagnostics and Personalized Medicine, Institute
RETRIEVING 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
Tutorial 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
UCLA Team Sequences Cell Line, Puts Open Source Software Framework into Production
Page 1 of 6 UCLA Team Sequences Cell Line, Puts Open Source Software Framework into Production February 05, 2010 Newsletter: BioInform BioInform - February 5, 2010 By Vivien Marx Scientists at the department
G 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
Just 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
Bioinformatics Grid - Enabled Tools For Biologists.
Bioinformatics Grid - Enabled Tools For Biologists. What is Grid-Enabled Tools (GET)? As number of data from the genomics and proteomics experiment increases. Problems arise for the current sequence analysis
GeneSifter: 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
The 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
Large-scale Research Data Management and Analysis Using Globus Services. Ravi Madduri Argonne National Lab University of Chicago @madduri
Large-scale Research Data Management and Analysis Using Globus Services Ravi Madduri Argonne National Lab University of Chicago @madduri Outline Who we are Challenges in Big Data Management and Analysis
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
Final Project Report
CPSC545 by Introduction to Data Mining Prof. Martin Schultz & Prof. Mark Gerstein Student Name: Yu Kor Hugo Lam Student ID : 904907866 Due Date : May 7, 2007 Introduction Final Project Report Pseudogenes
SMRT Analysis v2.2.0 Overview. 1. SMRT Analysis v2.2.0. 1.1 SMRT Analysis v2.2.0 Overview. Notes:
SMRT Analysis v2.2.0 Overview 100 338 400 01 1. SMRT Analysis v2.2.0 1.1 SMRT Analysis v2.2.0 Overview Welcome to Pacific Biosciences' SMRT Analysis v2.2.0 Overview 1.2 Contents This module will introduce
Molecular and Cell Biology Laboratory (BIOL-UA 223) Instructor: Ignatius Tan Phone: 212-998-8295 Office: 764 Brown Email: ignatius.tan@nyu.
Molecular and Cell Biology Laboratory (BIOL-UA 223) Instructor: Ignatius Tan Phone: 212-998-8295 Office: 764 Brown Email: [email protected] Course Hours: Section 1: Mon: 12:30-3:15 Section 2: Wed: 12:30-3:15
Bioruptor 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
CCR 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
Genomic Applications on Cray supercomputers: Next Generation Sequencing Workflow. Barry Bolding. Cray Inc Seattle, WA
Genomic Applications on Cray supercomputers: Next Generation Sequencing Workflow Barry Bolding Cray Inc Seattle, WA 1 CUG 2013 Paper Genomic Applications on Cray supercomputers: Next Generation Sequencing
An 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
Bioinformatics Resources at a Glance
Bioinformatics Resources at a Glance A Note about FASTA Format There are MANY free bioinformatics tools available online. Bioinformaticists have developed a standard format for nucleotide and protein sequences
Basic processing of next-generation sequencing (NGS) data
Basic processing of next-generation sequencing (NGS) data Getting from raw sequence data to expression analysis! 1 Reminder: we are measuring expression of protein coding genes by transcript abundance
Molecular typing of VTEC: from PFGE to NGS-based phylogeny
Molecular typing of VTEC: from PFGE to NGS-based phylogeny Valeria Michelacci 10th Annual Workshop of the National Reference Laboratories for E. coli in the EU Rome, November 5 th 2015 Molecular typing
History 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
University of Glasgow - Programme Structure Summary C1G5-5100 MSc Bioinformatics, Polyomics and Systems Biology
University of Glasgow - Programme Structure Summary C1G5-5100 MSc Bioinformatics, Polyomics and Systems Biology Programme Structure - the MSc outcome will require 180 credits total (full-time only) - 60
Introduction to next-generation sequencing data
Introduction to next-generation sequencing data David Simpson Centre for Experimental Medicine Queens University Belfast http://www.qub.ac.uk/research-centres/cem/ Outline History of DNA sequencing NGS
Typing in the NGS era: The way forward!
Typing in the NGS era: The way forward! Valeria Michelacci NGS course, June 2015 Typing from sequence data NGS-derived conventional Multi Locus Sequence Typing (University of Warwick, 7 housekeeping genes)
AGILENT 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
Practical Solutions for Big Data Analytics
Practical Solutions for Big Data Analytics Ravi Madduri Computation Institute ([email protected]) Paul Dave ([email protected]) Dinanath Sulakhe ([email protected]) Alex Rodriguez ([email protected])
Copy Number Variation: available tools
Copy Number Variation: available tools Jeroen F. J. Laros Leiden Genome Technology Center Department of Human Genetics Center for Human and Clinical Genetics Introduction A literature review of available
Analysis and Integration of Big Data from Next-Generation Genomics, Epigenomics, and Transcriptomics
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,
Next Generation Sequencing: Technology, Mapping, and Analysis
Next Generation Sequencing: Technology, Mapping, and Analysis Gary Benson Computer Science, Biology, Bioinformatics Boston University [email protected] http://tandem.bu.edu/ The Human Genome Project took
The 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
-> 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
Leading 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
Overview 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
SeqScape Software Version 2.5 Comprehensive Analysis Solution for Resequencing Applications
Product Bulletin Sequencing Software SeqScape Software Version 2.5 Comprehensive Analysis Solution for Resequencing Applications Comprehensive reference sequence handling Helps interpret the role of each
Cloud 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 [email protected] http://www.jcvi.org/cms/about/bios/kkrampis/
HPC Cloud. Focus on your research. Floris Sluiter Project leader SARA
HPC Cloud Focus on your research Floris Sluiter Project leader SARA Why an HPC Cloud? Christophe Blanchet, IDB - Infrastructure Distributing Biology: Big task to port them all to your favorite architecture
Nazneen Aziz, PhD. Director, Molecular Medicine Transformation Program Office
2013 Laboratory Accreditation Program Audioconferences and Webinars Implementing Next Generation Sequencing (NGS) as a Clinical Tool in the Laboratory Nazneen Aziz, PhD Director, Molecular Medicine Transformation
Using Illumina BaseSpace Apps to Analyze RNA Sequencing Data
Using Illumina BaseSpace Apps to Analyze RNA Sequencing Data The Illumina TopHat Alignment and Cufflinks Assembly and Differential Expression apps make RNA data analysis accessible to any user, regardless
Human Genome Organization: An Update. Genome Organization: An Update
Human Genome Organization: An Update Genome Organization: An Update Highlights of Human Genome Project Timetable Proposed in 1990 as 3 billion dollar joint venture between DOE and NIH with 15 year completion
Course Descriptions. I. Professional Courses: MSEG 7216: Introduction to Infectious Diseases (Medical Students)
Course Descriptions I. Professional Courses: MSEG 7216: Introduction to Infectious Diseases (Medical Students) This course is offered during the first semester of the second year of the MD Program. It
An introduction to bioinformatic tools for population genomic and metagenetic data analysis, 2.5 higher education credits Third Cycle
An introduction to bioinformatic tools for population genomic and metagenetic data analysis, 2.5 higher education credits Third Cycle Faculty of Science; Department of Marine Sciences The Swedish Royal
Big Data Challenges. technology basics for data scientists. Spring - 2014. Jordi Torres, UPC - BSC www.jorditorres.
Big Data Challenges technology basics for data scientists Spring - 2014 Jordi Torres, UPC - BSC www.jorditorres.eu @JordiTorresBCN Data Deluge: Due to the changes in big data generation Example: Biomedicine
Introduction 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,
SGI. High Throughput Computing (HTC) Wrapper Program for Bioinformatics on SGI ICE and SGI UV Systems. January, 2012. Abstract. Haruna Cofer*, PhD
White Paper SGI High Throughput Computing (HTC) Wrapper Program for Bioinformatics on SGI ICE and SGI UV Systems Haruna Cofer*, PhD January, 2012 Abstract The SGI High Throughput Computing (HTC) Wrapper
PROGRAMMING FOR BIOLOGISTS. BIOL 6297 Monday, Wednesday 10 am -12 pm
PROGRAMMING FOR BIOLOGISTS BIOL 6297 Monday, Wednesday 10 am -12 pm Tomorrow is Ada Lovelace Day Ada Lovelace was the first person to write a computer program Today s Lecture Overview of the course Philosophy
Analysis 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
Processing Genome Data using Scalable Database Technology. My Background
Johann Christoph Freytag, Ph.D. [email protected] http://www.dbis.informatik.hu-berlin.de Stanford University, February 2004 PhD @ Harvard Univ. Visiting Scientist, Microsoft Res. (2002)
A 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:
Lectures 1 and 8 15. February 7, 2013. Genomics 2012: Repetitorium. Peter N Robinson. VL1: Next- Generation Sequencing. VL8 9: Variant Calling
Lectures 1 and 8 15 February 7, 2013 This is a review of the material from lectures 1 and 8 14. Note that the material from lecture 15 is not relevant for the final exam. Today we will go over the material
Next Generation Sequencing; Technologies, applications and data analysis
; Technologies, applications and data analysis Course 2542 Dr. Martie C.M. Verschuren Avans Hogeschool Research group Analysis techniques in Life Science, Breda Prof. dr. Johan T. den Dunnen Leiden Genome
Disease gene identification with exome sequencing
Disease gene identification with exome sequencing Christian Gilissen Dept. of Human Genetics Radboud University Nijmegen Medical Centre [email protected] Contents Infrastructure Exome sequencing
Comparative genomic hybridization Because arrays are more than just a tool for expression analysis
Microarray Data Analysis Workshop MedVetNet Workshop, DTU 2008 Comparative genomic hybridization Because arrays are more than just a tool for expression analysis Carsten Friis ( with several slides from
Analysis of Illumina Gene Expression Microarray Data
Analysis of Illumina Gene Expression Microarray Data Asta Laiho, Msc. Tech. Bioinformatics research engineer The Finnish DNA Microarray Centre Turku Centre for Biotechnology, Finland The Finnish DNA Microarray
INTERNATIONAL CONFERENCE ON HARMONISATION OF TECHNICAL REQUIREMENTS FOR REGISTRATION OF PHARMACEUTICALS FOR HUMAN USE Q5B
INTERNATIONAL CONFERENCE ON HARMONISATION OF TECHNICAL REQUIREMENTS FOR REGISTRATION OF PHARMACEUTICALS FOR HUMAN USE ICH HARMONISED TRIPARTITE GUIDELINE QUALITY OF BIOTECHNOLOGICAL PRODUCTS: ANALYSIS
The Power of Next-Generation Sequencing in Your Hands On the Path towards Diagnostics
The Power of Next-Generation Sequencing in Your Hands On the Path towards Diagnostics The GS Junior System The Power of Next-Generation Sequencing on Your Benchtop Proven technology: Uses the same long
Version 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
Current 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.
Graduate Certificate Pre-Med Program Course Descriptions For Year 2015-2016 FALL
Graduate Certificate Pre-Med Program Course Descriptions For Year 2015-2016 FALL COURSE TITLE: BIOCHEMISTRY COURSE NUMBER: 5104 This course emphasizes biochemical compounds, processes and systems, designed
Efficient Parallel Execution of Sequence Similarity Analysis Via Dynamic Load Balancing
Efficient Parallel Execution of Sequence Similarity Analysis Via Dynamic Load Balancing James D. Jackson Philip J. Hatcher Department of Computer Science Kingsbury Hall University of New Hampshire Durham,
New generation sequencing: current limits and future perspectives. Giorgio Valle CRIBI - Università di Padova
New generation sequencing: current limits and future perspectives Giorgio Valle CRIBI Università di Padova Around 2004 the Race for the 1000$ Genome started A few questions... When? How? Why? Standard
NIH/NIGMS Trainee Forum: Computational Biology and Medical Informatics at Georgia Tech
ACM-BCB 2015 (Sept. 10 th, 10:00am-12:30pm) NIH/NIGMS Trainee Forum: Computational Biology and Medical Informatics at Georgia Tech Chair: Professor Greg Gibson Georgia Institute of Technology Co-Chair:
Next Generation Sequencing Technologies in Microbial Ecology. Frank Oliver Glöckner
Next Generation Sequencing Technologies in Microbial Ecology Frank Oliver Glöckner 1 Max Planck Institute for Marine Microbiology Investigation of the role, diversity and features of microorganisms Interactions
Hadoopizer : a cloud environment for bioinformatics data analysis
Hadoopizer : a cloud environment for bioinformatics data analysis Anthony Bretaudeau (1), Olivier Sallou (2), Olivier Collin (3) (1) [email protected], INRIA/Irisa, Campus de Beaulieu, 35042,
Immunology 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
TCB No. 2012-008 September 2012. Technical Bulletin. GS FLX+ System & GS FLX System. Installation of 454 Sequencing System Software v2.
TCB No. 2012-008 September 2012 Technical Bulletin GS FLX+ System & GS FLX System Installation of 454 Sequencing System Software v2.8 Summary This document describes how to upgrade the 454 Sequencing System
Using the Grid for the interactive workflow management in biomedicine. Andrea Schenone BIOLAB DIST University of Genova
Using the Grid for the interactive workflow management in biomedicine Andrea Schenone BIOLAB DIST University of Genova overview background requirements solution case study results background A multilevel
E. coli plasmid and gene profiling using Next Generation Sequencing
E. coli plasmid and gene profiling using Next Generation Sequencing Jeroen F. J. Laros Leiden Genome Technology Center Department of Human Genetics Center for Human and Clinical Genetics Introduction General
When you install Mascot, it includes a copy of the Swiss-Prot protein database. However, it is almost certain that you and your colleagues will want
1 When you install Mascot, it includes a copy of the Swiss-Prot protein database. However, it is almost certain that you and your colleagues will want to search other databases as well. There are very
Chapter 8: Recombinant DNA 2002 by W. H. Freeman and Company Chapter 8: Recombinant DNA 2002 by W. H. Freeman and Company
Genetic engineering: humans Gene replacement therapy or gene therapy Many technical and ethical issues implications for gene pool for germ-line gene therapy what traits constitute disease rather than just
