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Genome Research|January 10, 2002
Relating whole-genome expression data with protein-protein interactionsRonald Jansen, Dov Greenbaum, Mark GersteinNucleic Acids Research|December 5, 2016
Localized structural frustration for evaluating the impact of sequence variantsSushant Kumar, Declan Clarke, Mark GersteinBMC Bioinformatics|February 23, 2011
Tiling array data analysis: a multiscale approach using waveletsAlexander Karpikov, Joel Rozowsky, Mark GersteinBioinformatics (Oxford, England)|November 10, 2017
MOAT: efficient detection of highly mutated regions with the Mutations Overburdening Annotations ToolLucas Lochovsky, Jing Zhang, Mark GersteinGenome Research|October 9, 2002
Identification and analysis of over 2000 ribosomal protein pseudogenes in the human genomeZhaolei Zhang, Paul Harrison, Mark GersteinBMC Bioinformatics|February 4, 2010
Genome-wide sequence-based prediction of peripheral proteins using a novel semi-supervised learning techniqueNitin Bhardwaj, Mark Gerstein, Hui LuBMC Genomics|September 16, 2009
The relationship between the evolution of microRNA targets and the length of their UTRsChao Cheng, Nitin Bhardwaj, Mark GersteinBioinformatics (Oxford, England)|May 23, 2002
Analysis of mRNA expression and protein abundance data: an approach for the comparison of the enrichment of features in the cellular population of proteins and transcriptsDov Greenbaum, Ronald Jansen, Mark GersteinNucleic Acids Research|January 10, 2003
MolMovDB: analysis and visualization of conformational change and structural flexibilityNathaniel Echols, Duncan Milburn, Mark GersteinBioinformatics (Oxford, England)|November 1, 2011
TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profilesChao Cheng, Renqiang Min, Mark GersteinPageof 85