Michael R. Seringhaus, Ph.D.

Yale University, New Haven, CT 
Computational Biology and Bioinformatics
"Michael Seringhaus"


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Mark B. Gerstein grad student 2007 Yale
 (Computational prediction of essential genes, and other applications of bioinformatics to genome annotation.)
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Rzhetsky A, Seringhaus M, Gerstein MB. (2009) Getting started in text mining: part two. Plos Computational Biology. 5: e1000411
Seringhaus M, Rozowsky J, Royce T, et al. (2008) Mismatch oligonucleotides in human and yeast: Guidelines for probe design on tiling microarrays Bmc Genomics. 9
Rzhetsky A, Seringhaus M, Gerstein M. (2008) Seeking a New Biology through Text Mining Cell. 134: 9-13
Seringhaus M, Gerstein M. (2008) Manually structured digital abstracts: A scaffold for automatic text mining Febs Letters. 582: 1170
Seringhaus MR, Cayting PD, Gerstein MB. (2008) Uncovering trends in gene naming. Genome Biology. 9: 401
Seringhaus M, Gerstein M. (2008) Genomics confounds gene classification American Scientist. 96: 466-473
Borneman AR, Gianoulis TA, Zhang ZD, et al. (2007) Divergence of transcription factor binding sites across related yeast species. Science (New York, N.Y.). 317: 815-9
Borneman AR, Zhang ZD, Rozowsky J, et al. (2007) Transcription factor binding site identification in yeast: a comparison of high-density oligonucleotide and PCR-based microarray platforms. Functional & Integrative Genomics. 7: 335-45
Birney E, Stamatoyannopoulos JA, et al. (2007) Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature. 447: 799-816
Gerstein M, Seringhaus M, Fields S. (2007) Structured digital abstract makes text mining easy [1] Nature. 447: 142
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