Abstract

HMMER is a software suite for protein sequence similarity searches using probabilistic methods. Previously, HMMER has mainly been available only as a computationally intensive UNIX command-line tool, restricting its use. Recent advances in the software, HMMER3, have resulted in a 100-fold speed gain relative to previous versions. It is now feasible to make efficient profile hidden Markov model (profile HMM) searches via the web. A HMMER web server (http://hmmer.janelia.org) has been designed and implemented such that most protein database searches return within a few seconds. Methods are available for searching either a single protein sequence, multiple protein sequence alignment or profile HMM against a target sequence database, and for searching a protein sequence against Pfam. The web server is designed to cater to a range of different user expertise and accepts batch uploading of multiple queries at once. All search methods are also available as RESTful web services, thereby allowing them to be readily integrated as remotely executed tasks in locally scripted workflows. We have focused on minimizing search times and the ability to rapidly display tabular results, regardless of the number of matches found, developing graphical summaries of the search results to provide quick, intuitive appraisement of them.

Keywords

Web serverComputer scienceUploadSequence databaseSoftwareSequence (biology)Hidden Markov modelWeb applicationWorkflowWeb serviceDatabaseWorld Wide WebBiologyThe InternetOperating systemArtificial intelligence

Affiliated Institutions

Related Publications

Publication Info

Year
2011
Type
article
Volume
39
Issue
suppl
Pages
W29-W37
Citations
6038
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

6038
OpenAlex

Cite This

ROBERT FINN, Jody Clements, Sean R. Eddy (2011). HMMER web server: interactive sequence similarity searching. Nucleic Acids Research , 39 (suppl) , W29-W37. https://doi.org/10.1093/nar/gkr367

Identifiers

DOI
10.1093/nar/gkr367