Protein domain identification and analysis are cornerstones of modern proteomics. The tools available to protein domain researchers avail a variety of approaches to understanding large protein domain families. Hidden Markov Models (HMM) form the basis for identifying and categorizing evolutionarily linked protein domains. Here I describe the use of HMM models for predicting and identifying Src Homology 2 (SH2) domains within the proteome.
CITATION STYLE
Jablonowski, K. (2017). Hidden Markov models for protein domain homology identification and analysis. In Methods in Molecular Biology (Vol. 1555, pp. 47–58). Humana Press Inc. https://doi.org/10.1007/978-1-4939-6762-9_3
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