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Data mining. Sequence information Mapping information Phenotypic information Literature Prediction programs -Gene prediction -Promotor prediction -Functional.

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Presentation on theme: "Data mining. Sequence information Mapping information Phenotypic information Literature Prediction programs -Gene prediction -Promotor prediction -Functional."— Presentation transcript:

1 Data mining

2 Sequence information Mapping information Phenotypic information Literature Prediction programs -Gene prediction -Promotor prediction -Functional prediction -Structural prediction -Variant annotation

3 http://www.ncbi.nlm.nih.gov/

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11 Genome browsers ENSEMBL: http://www.ensembl.org/index.html UCSC : http://genome.ucsc.edu/

12 http://www.ensembl.org/index.html

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17 Ensembl Tools

18 http://genome.ucsc.edu/

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21 Assembly converter

22 http://dgv.tcag.ca/dgv/app/home

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24 https://decipher.sanger.ac.uk/

25 Genomic variant analysis Genomic variants -Mutation: literature, HGMD, gene specific databases -Polymorphism: dbSNP, EVS, ExAC -Prediction programs

26 http://www.ncbi.nlm.nih.gov/SNP/

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29 http://evs.gs.washington.edu/EVS/

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31 ExAC (http://exac.broadinstitute.org/)

32 ExAC

33 Kaviar: http://db.systemsbiology.net/kaviar/

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35 http://sift.jcvi.org/

36 CFTR: p.N1303K

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38 Polyphen http://genetics.bwh.harvard.edu/pph2/

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40 Mutation Taster http://www.mutationtaster.org/

41 But beware……!!!!! There are many examples of known pathogenic variants predicted to be benign and vice versa

42 Human Splicing Finder http://www.umd.be/HSF/

43 Splice Site Prediction http://www.fruitfly.org/seq_tools/splice.html

44 Splice finder programs GeneSplicer http://www.cbcb.umd.edu/software/ GeneSplicer/gene_spl.shtml Netgene http://www.cbs.dtu.dk/services/Net Gene2/

45 http://scholar.google.be

46 Batch Annotators & Prioritization Gene Panel / Whole Exome Sequencing Large amounts of variants (50-50,000) Needed information for interpretation: Location w.r.t. gene (intron/exon/splicing) Effect on CDS (synonymous/stop-gain/frameshift/...) Severity of the effect Function of gene w.r.t. phenotype Example Applications: wANNOVAR: http://wannovar.usc.eduhttp://wannovar.usc.edu SeattleSeq: http://snp.gs.washington.edu/SeattleSeqAnnotation141/http://snp.gs.washington.edu/SeattleSeqAnnotation141/ VEP: http://www.ensembl.org/Tools/VEPhttp://www.ensembl.org/Tools/VEP VariantDB: http://biomina.be/apps/variantdbhttp://biomina.be/apps/variantdb eXtasy: http://extasy.esat.kuleuven.be/http://extasy.esat.kuleuven.be/ Exomiser: http://www.sanger.ac.uk/science/tools/exomiserhttp://www.sanger.ac.uk/science/tools/exomiser

47 VEP

48 Batch Annotators: wAnnovar

49 NCBIhttp://www.ncbi.nlm.nih.gov/ Ensemblhttp://www.ensemble.org/index.html UCSChttp://genome.ucsc.edu/ Genatlashttp://genatlas.medecine.univ-paris5.fr/ PolyPhenhttp://genetics.bwh.harvard.edu/pph2/ SIFThttp://sift.jcvi.org/ Mutation tasterhttp://www.mutationtaster.org/ Splice predictionhttp://www.umd.be/HSF/ http://www.fruitfly.org/seq_tools/splice.html http://www.cbs.dtu.dk/services/NetGene2/ DECIPHERhttps://decipher.sanger.ac.uk/


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