2024
Less-is-more: selecting transcription factor binding regions informative for motif inference
Xu J, Gao J, Ni P, Gerstein M. Less-is-more: selecting transcription factor binding regions informative for motif inference. Nucleic Acids Research 2024, 52: e20-e20. PMID: 38214231, PMCID: PMC10899791, DOI: 10.1093/nar/gkad1240.Peer-Reviewed Original ResearchMeSH KeywordsBinding SitesChromatin ImmunoprecipitationGenomicsNucleotide MotifsProtein BindingTranscription FactorsConceptsChIP-seq signalsChIP-seqGenomic regionsMotif inferenceTranscription factorsTargeting motifTranscription factor binding regionsChIP-seq datasetsNon-specific interactionsC-scoreDNA motifsBinding regionMotifTranscriptionTF signalingAccurate inferenceStronger signalSignalDNARegionTargetInteraction
2013
Integrative Annotation of Variants from 1092 Humans: Application to Cancer Genomics
Khurana E, Fu Y, Colonna V, Mu XJ, Kang HM, Lappalainen T, Sboner A, Lochovsky L, Chen J, Harmanci A, Das J, Abyzov A, Balasubramanian S, Beal K, Chakravarty D, Challis D, Chen Y, Clarke D, Clarke L, Cunningham F, Evani US, Flicek P, Fragoza R, Garrison E, Gibbs R, Gümüş ZH, Herrero J, Kitabayashi N, Kong Y, Lage K, Liluashvili V, Lipkin SM, MacArthur DG, Marth G, Muzny D, Pers TH, Ritchie GRS, Rosenfeld JA, Sisu C, Wei X, Wilson M, Xue Y, Yu F, Consortium 1, Dermitzakis ET, Yu H, Rubin MA, Tyler-Smith C, Gerstein M. Integrative Annotation of Variants from 1092 Humans: Application to Cancer Genomics. Science 2013, 342: 1235587. PMID: 24092746, PMCID: PMC3947637, DOI: 10.1126/science.1235587.Peer-Reviewed Original Research
2009
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
Rozowsky J, Euskirchen G, Auerbach RK, Zhang ZD, Gibson T, Bjornson R, Carriero N, Snyder M, Gerstein MB. PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls. Nature Biotechnology 2009, 27: 66-75. PMID: 19122651, PMCID: PMC2924752, DOI: 10.1038/nbt.1518.Peer-Reviewed Original Research
2006
Relating Three-Dimensional Structures to Protein Networks Provides Evolutionary Insights
Kim PM, Lu LJ, Xia Y, Gerstein MB. Relating Three-Dimensional Structures to Protein Networks Provides Evolutionary Insights. Science 2006, 314: 1938-1941. PMID: 17185604, DOI: 10.1126/science.1136174.Peer-Reviewed Original Research