{"data":{"id":"10.6084/m9.figshare.871430","type":"dois","attributes":{"doi":"10.6084/m9.figshare.871430","prefix":"10.6084","suffix":"m9.figshare.871430","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Slowikowski, Kamil","nameType":"Personal","givenName":"Kamil","familyName":"Slowikowski","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0002-2843-6370","nameIdentifierScheme":"ORCID"}]},{"name":"Xinli Hu","affiliation":[],"nameIdentifiers":[]},{"name":"Soumya Raychaudhuri","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"SNPsea: an algorithm to identify cell types, tissues, and pathways affected by risk loci"}],"publisher":"figshare","container":{},"publicationYear":2013,"subjects":[{"subject":"60102 Bioinformatics","subjectScheme":"FOR"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2013-12-08","dateType":"Created"},{"date":"2015-12-02","dateType":"Updated"},{"date":"2013","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["459809725 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Updated May 20, 2014. This archive contains data for: Slowikowski, et al. \u003cstrong\u003eSNPsea: an algorithm to identify cell types, tissues, and pathways that affect risk loci.\u003c/strong\u003e Bioinformatics (2014). doi:10.1093/bioinformatics/btu326 Please see the SNPsea documentation for more details: http://snpsea.readthedocs.org/en/latest/data.html CONTENTS GWAS SNPs on hg19 with P \u0026lt;= 5-e8 extracted from tables in pdfs. \u003cstrong\u003eCeliac_disease-Trynka2011-35_SNPs.gwas\u003c/strong\u003e\u003cbr\u003e\u003cstrong\u003eHDL_cholesterol-Teslovich2010-46_SNPs.gwas\u003c/strong\u003e\u003cbr\u003e\u003cstrong\u003eMultiple_sclerosis-IMSGC-51_SNPs.gwas\u003c/strong\u003e\u003cbr\u003e\u003cstrong\u003eRed_blood_cell_count-Harst2012-45_SNPs.gwas\u003c/strong\u003e \u003cstrong\u003e\u003c/strong\u003e\u003cstrong\u003e \u003c/strong\u003e \u003cstrong\u003eGeneAtlas2004.gct.gz\u003c/strong\u003e\u003cbr\u003e\u003cem\u003e- Gene Atlas 2004 gene expression matrix (Affymetrix)\u003c/em\u003e \u003cstrong\u003eImmGen2012.gct.gz\u003c/strong\u003e\u003cbr\u003e\u003cem\u003e- ImmGen 2012 gene expression matrix (Affymetrix)\u003c/em\u003e \u003cstrong\u003eFANTOM2014.gct.gz\u003c/strong\u003e\u003cbr\u003e\u003cem\u003e- RIKEN FANTOM5 gene expression matrix (CAGE)\u003c/em\u003e \u003cstrong\u003eGO2013.gct.gz\u003c/strong\u003e\u003cbr\u003e\u003cem\u003e- Gene Ontology 2013 gene annotation matrix (binary annotations)\u003c/em\u003e \u003cem\u003e\u003cbr\u003e\u003c/em\u003e \u003cstrong\u003eNCBIgenes2013.bed.gz\u003c/strong\u003e\u003cbr\u003e\u003cem\u003e- Homo sapiens NCBI gene intervals\u003c/em\u003e \u003cstrong\u003eLango2010.txt.gz\u003c/strong\u003e\u003cbr\u003e\u003cem\u003e- LD-pruned SNPs\u003c/em\u003e \u003cstrong\u003eTGP2011.bed.gz\u003c/strong\u003e\u003cbr\u003e\u003cem\u003e- 1000 Genomes Project SNP linkage disequilibrium (LD) intervals\u003c/em\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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