TOP 10 PAPERS READING LIST, 2016-2017
As selected at RECOMB/ISCB Regulatory systems Genomics 2017
(Papers are listed alphabetically by title. Due to a draw, this year's list contains 11 papers.)
A prior-based integrative framework for functional transcriptional regulatory network inference, Siahpirani A, Roy S. Nucleic Acids Res 45(4):e21
chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data, Schep AN, Wu B, Buenrostro JD, Greenleaf WJ. Nat Methods 14(10):975-978
Denoising genome-wide histone ChIP-seq with convolutional neural networks, Koh PW, Pierson E, Kundaje A. Bioinformatics 33(14):i225-i233
Genome-scale high-resolution mapping of activating and repressive nucleotides in regulatory regions, Ernst J, Melnikov A, Zhang X, Wang L, Rogov P, Mikkelsen T, Kellis M. Nat Biotechnol 34(11):1180-1190
Genome-Wide Association between Transcription Factor Expression and Chromatin Accessibility Reveals Regulators of Chromatin Accessibility, Lamparter D, Marbach D, Rueedi R, Bergmann S, Kutalik Z. PLoS Comput Biol 13(1):e1005311
Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network, Dhingra P, Martinez-Fundichely A, Berger A, Huang FW, Forbes AN, Liu EM, Liu D, Sboner A, Tamayo P, Rickman DS, Rubin MA, Khurana E. Genome Biol 18:141
Is a super-enhancer greater than the sum of its parts?, Dukler N, Gulko B, Huang YF, Siepel A. Nat Genet 49:2-3
Quantifying the impact of non-coding variants on transcription factor-DNA binding, Zhao J, Li D, Seo J, Allen AS, Gordan R. Res Comput Mol Biol 10229:336-352
Reconstruction of enhancer-target networks in 935 samples of human primary cells, tissues and cell lines, Cao Q, Anyansi C, Hu X, Xu L, Xiong L, Tang W, Mok MTS, Cheng C, Fan X, Gerstein M, Cheng ASL, Yip KY. Nat Genet 49(10):1428-1436
SMiLE-seq identifies binding motifs of single and dimeric transcription factors, Isakova A, Groux R, Imbeault M, Rainer P, Alpern D, Dainese R, Ambrosini G, Trono D, Bucher P, Deplancke B. Nat Methods 14(3):316-322
Transcription factor family-specific DNA shape readout revealed by quantitative specificity models, Yang L, Orenstein Y, Jolma A, Yin Y, Taipale J, Shamir R, Rohs R. Mol Syst Biol 13(2):910
CONGRATULATIONS TO ALL AUTHORS!
