Michael R. Seringhaus, Ph.D.
Affiliations: | Yale University, New Haven, CT |
Area:
Computational Biology and BioinformaticsGoogle:
"Michael Seringhaus"Parents
Sign in to add mentor| Mark B. Gerstein | grad student | 2007 | Yale | |
| (Computational prediction of essential genes, and other applications of bioinformatics to genome annotation.) | ||||
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Publications
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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 |