HMMER

The outer archives are busy

by Sean R. Eddy, Washington University (Saint Louis, Mo.) School of Medicine Department of Genetics, National Human Genome Research Institute (U.S.)

About this book

Profile hidden Markov models (profile HMMs) can be used to do database searching using statistical descriptions of a sequence family's consensus. HMMER is a freely distributable implementation of profile HMM software for protein sequence analysis. User inputs a multiple sequence alignment; HMMER builds a statistical model called a "hidden Markov model" which the user can then use as a query into a sequence database to find (and/or align) additional homologues of the sequence family.

Match Score

Create a free account to see Match Scores on books the community has marked — once you’ve set your preferences.

Create free account

Marks of the Realm

Marks left by readers of this tome

No community marks yet — be the first to inscribe this tome.

Pacing

—out of 5

Horror / Dark Elements

—out of 5

Romance

—out of 5

Spice Level

—out of 5

LGBTQ+ Representation

—out of 5

Social & Political Themes in Stories

—out of 5

Inscribe Your Rating

Mark this tome across each content category