RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding.

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作者： Walter,Santana-Garcia ^[1] ; Maria,Rocha-Acevedo ^[2] ; Lucia,Ramirez-Navarro ^[2] ; Yvon,Mbouamboua ^[2] ; Denis,Thieffry ^[3] ; Morgane,Thomas-Chollier ^[4] ; Bruno,Contreras-Moreira ^[1] ; Jacques,van Helden ^[1] ; Alejandra,Medina-Rivera ^[5]

作者单位： Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, 75005 Paris, France. ^[1] Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Campus Juriquilla, Blvd Juriquilla 3001, Santiago de Querétaro 76230, Mexico. ^[2] Fondation Congolaise pour la Recherche Médicale, Brazzaville, People's Republic of Congo. ^[3] Aix-Marseille Univ, INSERM UMR S 1090, Theory and Approaches of Genome Complexity (TAGC), F-13288 Marseille, France. ^[4] Estación Experimental de Aula Dei-CSIC, Zaragoza, Spain. ^[5] Fundación ARAID, Zaragoza, Spain. ^[6] CNRS, Institut Français de Bioinformatique, IFB-core, UMS 3601, Evry, France. ^[7]

关键词 Binding motifs CEU, Northern Europeans from Utah CRM, Cis-Regulatory Module GWAS, Genome Wide Association Studies LD, Linkage Disequilibrium MPRA, Massively Parallel Reporter Assays: MPRA PSSM, Position Specific Scoring Matrix Position specific scoring matrix ROC, Receiver Operating Characteristic RSAT, Regulatory Sequence Analysis Tools Regulatory variants SNP, Single Nucleotide Polymorphism SNPs SOIs, SNPs of Interest TF, Transcription Factor TFBS, Transcription Factor Binding Site Transcription factors eQTL, Expression Quantitative Trait Loci rsID, Reference SNP Identifier

DOI 10.1016/j.csbj.2019.09.009

PMID 31871587

发布时间 2020-10-01

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Computational and structural biotechnology journal

2019年17卷

1415-1428页

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RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding.

Computational and structural biotechnology journal

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RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding.

Computational and structural biotechnology journal

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Computational and structural biotechnology journal

相关期刊

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