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Shan Li
Shan Li
Staff scientist, Cancer Data Science Lab (CDSL), NCI/NIH
Verified email at nih.gov - Homepage
Title
Cited by
Cited by
Year
Directional RNA-seq reveals highly complex condition-dependent transcriptomes in E. coli K12 through accurate full-length transcripts assembling
S Li, X Dong, Z Su
BMC Genomics 14 (520), 2013
552013
Genome-wide de novo prediction of cis-regulatory binding sites in prokaryotes
S Zhang, M Xu, S Li, Z Su
Nucleic Acids Research 37 (10), 2009
432009
Computational analysis of LexA regulons in Cyanobacteria
S Li, M Xu, Z Su
BMC Genomics 11 (527), 2010
422010
MotifClick: prediction of cis-regulatory binding sites via merging cliques
S Zhang, S Li, M Niu, PT Pham, Z Su
BMC Bioinformatics 12 (238), 2011
172011
Quantifying deleterious effects of regulatory variants
S Li, R Vera Alvarez, R Sharan, D Landsman, I Ovcharenko
Nucleic Acids Research, 2016
162016
Human enhancers are fragile and prone to deactivating mutations
S Li, I Ovcharenko
Molecular Biology and Evolution 32 (8), 2161-2180, 2015
162015
Simultaneous prediction of transcription factor binding sites in a group of prokaryotic genomes
S Zhang, S Li, P Peter, Z Su
BMC Bioinformatics 11 (397), 2010
152010
SNPDelScore: combining multiple methods to score deleterious effects of noncoding mutations in the human genome
R Vera Alvarez, S Li, D Landsman, I Ovcharenko
Bioinformatics, 2017
11*2017
Stable enhancers are active in development, and fragile enhancers are associated with evolutionary adaptation
S Li, EZ Kvon, A Visel, LA Pennacchio, I Ovcharenko
Genome Biology 20 (140), 2019
102019
De novo human brain enhancers created by single-nucleotide mutations
S Li, S Hannenhalli, I Ovcharenko
Science Advances 9 (7), 2023
72023
Enhancer jungles establish robust tissue-specific regulatory control in the human genome
S Li, I Ovcharenko
Genomics, 2019
52019
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Articles 1–11