Notable databases and tools that the group has developed include the Database of Macromolecular Motions,[6][7] which categorizes macromolecular conformational change; tYNA,[14] which helps analyze molecular networks; PubNet,[15] which analyzes publication networks; PeakSeq,[16] which identifies regions in the genome bound by particular transcription factors; and CNVnator,[17] which categorizes block variants in the genome.
Gerstein has also written extensively on how general issues in data science impact on genomics—in particular, in relation to privacy[18] and to structuring scientific communication.
[19] Gerstein's work has been published in peer reviewed scientific journals[20][21][22] and non-scientific publications in more popular forums.
[1] Other awards include a Herchel-Smith Scholarship supporting his doctoral work at Emmanuel College, Cambridge and a Damon Runyon Cancer Research Foundation Postdoctoral Fellowship.
He is a contributor to a number of scientific consortia including ENCODE,[30] modENCODE,[31][32][33] 1000 Genomes Project, Brainspan,[34] and DOE Kbase.