TY - JOUR
AU - Stormo, Gary D.
AB - Author Manuscript Author Manuscript Author Manuscript Author Manuscript HHS Public Access Author manuscript Nat Biotechnol. Author manuscript; available in PMC 2011 December 07. Published in final edited form as: Nat Biotechnol. ; 29(6): 480–483. doi:10.1038/nbt.1893. Quantitative analysis demonstrates most transcription factors require only simple models of specificity Yue Zhao and Washington University Medical School, Department of Genetics, 4444 Forest Park Parkway, Campus Box 8510, Room 5401, St. Louis, MO 63110, United States Gary D. Stormo Washington University Medical School, Department of Genetics, 660 S Euclid Box 8232, St. Louis, MO 63110, United States, stormo@wustl.edu Determining the specificity of transcription factors (TFs) is an important step in understanding regulatory networks and the effects of genetic variations on those networks. In recent years several high-throughput approaches have been developed to rapidly and efficiently determine the specificity of TFs . One important issue that arises in the analysis of binding data is the complexity of the specificity model needed. It has important implications for both the characterization of specificity and for the prediction of the consequences of mutations. If the recognition mechanism is simple, then the specificity of a TF can be modeled by a small number of parameters and the effects 
TI - Quantitative analysis demonstrates most transcription factors require only simple models of specificity
JF - Nature biotechnology
DO - 10.1038/nbt.1893
DA - 2011-06-07
UR - https://www.deepdyve.com/lp/pubmed-central/quantitative-analysis-demonstrates-most-transcription-factors-require-6BNwJEqKZy
SP - 480
EP - 483
VL - 29
IS - 6
DP - DeepDyve
ER -