motif-based hidden Markov modeling of biological sequences
Edición de la obra Meta-MEME
| Autor | William N. Grundy, Charles Elkan, San Diego Supercomputer Center, National Biomedical Computation Resource (U.S.) |
|---|---|
| Editorial | San Diego Supercomputer Center |
| Fecha de publicación | 1996 |
| Lugar | San Diego, Calif |
| Idioma | inglés |
| Formato | [electronic resource] : |
| OCLC | 44375409 |
| Número de Cutter |
G889m |
A software toolkit for building and using motif-based hidden Markov models of DNA and proteins. The input is a set of similar protein sequences, as well as a set of motif models discovered by MEME. Meta-MEME combines these models into a single, motif-based hidden Markov model and uses this model to produce a multiple alignment of the original set of sequences and to search a sequence database for homologs.