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Genome 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 LuGenome Biology|November 18, 2006
ProCAT: a data analysis approach for protein microarraysXiaowei Zhu, Mark Gerstein, Michael SnyderBMC 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 GersteinChromosome Research : an International Journal on the Molecular, Supramolecular and Evolutionary Aspects of Chromosome Biology|May 4, 2005
Applications of DNA tiling arrays to experimental genome annotation and regulatory pathway discoveryPaul Bertone, Mark Gerstein, Michael SnyderNature Reviews. Genetics|November 19, 2008
RNA-Seq: a revolutionary tool for transcriptomicsZhong Wang, Mark Gerstein, Michael SnyderBioinformatics (Oxford, England)|November 1, 2011
TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profilesChao Cheng, Renqiang Min, Mark GersteinTrends in Genetics : TIG|January 30, 2004
Comparative analysis of processed pseudogenes in the mouse and human genomesZhaolei Zhang, Nick Carriero, Mark GersteinPageof 45