01/03/2013UK NEQAS UV Participants Meeting 2013 in a quality perspective.

Slides:



Advertisements
Similar presentations
Data analytics for better patient genetics
Advertisements

Bioinformatics for genomics Kickoff Bioinformatics Expertise Center 10 November 2009 Judith Boer Dept. of Human Genetics.
Database Search: Mutation Interpretation Huong Le Senior Hospital Scientist Department of Molecular & Clinical Genetics Royal Prince Alfred Hospital Sydney,
What is RefSeqGene?.
Huong Le Department of Molecular & Clinical Genetics, Royal Prince Alfred Hospital Click mouse to move to the next slide.
Basic Genomic Characteristic  AIM: to collect as much general information as possible about your gene: Nucleotide sequence Databases ○ NCBI GenBank ○
Basics of Comparative Genomics Dr G. P. S. Raghava.
The design, construction and use of software tools to generate, store, annotate, access and analyse data and information relating to Molecular Biology.
Peter Tsai, Bioinformatics Institute.  University of California, Santa Cruz (UCSC)  A rapid and reliable display of any requested portion of genomes.
Recommendations from HL7 Clinical Genomics & Anatomic Pathology Workgroups, NCBI, and LOINC/Lister Hill Center at NLM To the College of American Pathologists.
Outline to SNP bioinformatics lecture
Visualization of genomic data Genome browsers. UCSC browser Ensembl browser Others ? Survey.
Predicting the Function of Single Nucleotide Polymorphisms Corey Harada Advisor: Eleazar Eskin.
Visualization of genomic data Genome browsers. How many have used a genome browser ? UCSC browser ? Ensembl browser ? Others ? survey.
Biological Databases Chi-Cheng Lin, Ph.D. Associate Professor Department of Computer Science Winona State University – Rochester Center
Investigating the Importance of non-coding transcripts.
Genome Browsers Ensembl (EBI, UK) and UCSC (Santa Cruz, California)
SNP Resources: Finding SNPs, Databases and Data Extraction Debbie Nickerson NIEHS SNPs Workshop.
SNP Resources: Finding SNPs Databases and Data Extraction Mark J. Rieder, PhD Robert J. Livingston, PhD NIEHS Variation Workshop January 30-31, 2005.
EBI is an Outstation of the European Molecular Biology Laboratory. UniProt Jennifer McDowall, Ph.D. Senior InterPro Curator Protein Sequence Database:
Something related to genetics? Dr. Lars Eijssen. Bioinformatics to understand studies in genomics – São Paulo – June Image:
Visualization of genomic data Genome browsers. UCSC browser Ensembl browser Others ? Survey.
PolyPhen and SIFT: Tools for predicting functional effects of SNPs Epi 244 Spring 2009 Sam S. Oh.
SNP Resources: Finding SNPs Databases and Data Extraction Mark J. Rieder, PhD SeattleSNPs Variation Workshop March 20-21, 2006.
Login: BITseminar Pass: BITseminar2011 Login: BITseminar Pass: BITseminar2011.
Doug Brutlag Professor Emeritus Biochemistry & Medicine (by courtesy) Genome Databases Computational Molecular Biology Biochem 218 – BioMedical Informatics.
Genetic Variations Resources May 15, 2013 Ansuman Chattopadhyay, PhD, Head Molecular Biology Information Service Health Sciences Library System University.
Identifying deleterious Single Nucleotide Polymorphisms using multiple sequence alignments CMSC858P Project by Maya Zuhl.
Overview of Bioinformatics A/P Shoba Ranganathan Justin Choo National University of Singapore A Tutorial on Bioinformatics.
MES Genome Informatics I - Lecture VIII. Interpreting variants Sangwoo Kim, Ph.D. Assistant Professor, Severance Biomedical Research Institute,
Yvonne Wallis UKNEQAS for Molecular Genetics Unclassified Sequence Variants Participants Meeting Edinburgh
Bioinformatics. Sequence information Mapping information Phenotypic information Literature Prediction programs -Gene prediction -Promotor prediction -Functional.
Mutation Calling IGV Exercises. Run IGV – Web search IGV (Integrative Genomics Viewer) – Go to Download page – may need to provide – Launch with.
Korea BioInformation Center Byoung-Chul Kim
Aims and objectives of the workshop David Moore. Aims Classification of variants is subjective and NEQAS results suggest this is not a major problem To.
Alastair Kerr, Ph.D. WTCCB Bioinformatics Core An introduction to DNA and Protein Sequence Databases.
Tsute (George) Chen Bioinformatics Core Department of Microbiology The Forsyth Institute March 24 th, 2015 HOMD A Tour to the Data and Tools.
Biological databases Exercises. Discovery of distinct sequence databases using ensembl.
Curation Tools Gary Williams Sanger Institute. SAB 2008 Gene curation – prediction software Gene prediction software is good, but not perfect. Out of.
Using Exons to Define Isoforms in PRO Timothy Danford Novartis Institutes for Biomedical Research PRO / AlzForum Kickoff Meeting Oct. 4, 2011.
Bioinformatics and Computational Biology
EBI is an Outstation of the European Molecular Biology Laboratory. UniProtKB Sandra Orchard.
Copyright OpenHelix. No use or reproduction without express written consent1.
Current Data And Future Analysis Thomas Wieland, Thomas Schwarzmayr and Tim M Strom Helmholtz Zentrum München Institute of Human Genetics Geneva, 16/04/12.
Moderní metody analýzy genomu - analýza Mgr. Nikola Tom Brno,
Visualization of genomic data Genome browsers. UCSC browser Ensembl browser Others ? Survey.
COURSE OF BIOINFORMATICS Exam_30/01/2014 A.
Using public resources to understand associations Dr Luke Jostins Wellcome Trust Advanced Courses; Genomic Epidemiology in Africa, 21 st – 26 th June 2015.
Bsrweb.burnham.org Stacy Xiayu Huang Roy Williams Alexey Eroshkin Gene-centric bioinformatics analysis to guide your cancer research.
 What is MSA (Multiple Sequence Alignment)? What is it good for? How do I use it?  Software and algorithms The programs How they work? Which to use?
Identifying disease causal variants Mendelian disorders A. Mesut Erzurumluoglu 1.
Data mining. Sequence information Mapping information Phenotypic information Literature Prediction programs -Gene prediction -Promotor prediction -Functional.
Integrated sequence analysis pipeline provides one-stop solution for identifying disease-causing mutations Cougar Hao Hu, MPIMG.
Evolution Aristotle: classification of animals theories on change
Canadian Bioinformatics Workshops
Week-6: Genomics Browsers
CSE 182 Project.
Basics of Comparative Genomics
GEP Annotation Workflow
Visualization of genomic data
Annotation of Sequence Variants in Cancer Samples
Searching the NCBI Databases
Ensembl Genome Repository.
Annotation of Sequence Variants in Cancer Samples
BLAT Blast Like Alignment Tool
1. C. briggsae sequence curation 2. SNP data handling
Basics of Comparative Genomics
Gene Safari (Biological Databases)
Problems from last section
Part II SeqViewer AraCyc Help
Presentation transcript:

01/03/2013UK NEQAS UV Participants Meeting 2013 in a quality perspective

Alamut Gene browser over 18,000+ human protein- coding genes Advanced visualization of gene-related annotations Integration of prediction tools Variant management and reporting HGVS nomenclature compliancy 01/03/2013UK NEQAS UV Participants Meeting 20132

Alamut 01/03/2013UK NEQAS UV Participants Meeting Ref. Genome Conservation Ref. transcripts dbSNP variations ESP variations HGMD mutations Protein domains Orthologues

Data Sources 01/03/2013UK NEQAS UV Participants Meeting 2013 Alamut Database RefSeq dbSNP -Genome -Transcripts HUGO InterPro Domains Variants Genes -Proteins -Missense variants +Orthologues LSDBs Abstracts Conservation Mutations 4 NHLBI GO ESP

Missense Predictions 01/03/2013UK NEQAS UV Participants Meeting 20135

Splicing Predictions 01/03/2013UK NEQAS UV Participants Meeting 20136

Exercise Critical Judgment! Software = Program code + Data 01/03/2013UK NEQAS UV Participants Meeting 20137

Exercise Critical Judgment! Software = Program code + bugs + Data + errors 01/03/2013UK NEQAS UV Participants Meeting 20138

Exercise Critical Judgment! Software = Program code + bugs + Data + errors 01/03/2013UK NEQAS UV Participants Meeting 20139

Data dbSNP is not a database of polymorphisms Conservation scores depend on sequences and alignment algorithms Transcripts can be misplaced (very unusual) Protein domains are mostly predicted Orthologues are mostly computed 01/03/2013UK NEQAS UV Participants Meeting

Missense Predictions Why Align GVGD, PolyPhen-2, SIFT, MutationTaster? – Reputation – Automatability – Right to use in commercial software Complex algorithms based on AA physico-chemical properties, AA conservation, protein structure, and more Predictions ±strongly depend on Alamut-supplied orthologue alignment 01/03/2013UK NEQAS UV Participants Meeting

Splicing Predictions Why SSF, MaxEnt, NNSPLICE, GeneSplicer, HSF? – ditto Simple algorithms based on sequence MaxEnt often considered as the most accurate (Splicing regulation predictions: for experts only!) 01/03/2013UK NEQAS UV Participants Meeting

Quality Contribution Up-to-date data Visual feedback HGVS nomenclature (when in doubt check with Mutalyzer) Manually-curated orthologue alignments NGS alignment and coverage visualization 01/03/2013UK NEQAS UV Participants Meeting

NGS Alignment Viewer 01/03/2013UK NEQAS UV Participants Meeting

Alamut / CMGS-VKGL Guidelines 3.3 Variant Nomenclature 3.4 Variant Submission 4.1 LSDBs 4.2 SNP Databases 4.7 Species Conservation 4.8 Missense Predictions 4.9 Splice Site Predictions 4.14 Interpretation Process Standardization 5.1 Reporting Variants 5.4 Variant Classification 01/03/2013UK NEQAS UV Participants Meeting

01/03/2013UK NEQAS UV Participants Meeting labs