Difference between revisions of "USEARCH"
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
__NOTOC__ | __NOTOC__ | ||
__NOEDITSECTION__ | __NOEDITSECTION__ | ||
| − | [[Category:Software]] | + | [[Category:Software]][[Category:Bioinformatics]][[Category:Biology]][[Category:Alignment]] |
{|<!--Main settings - REQUIRED--> | {|<!--Main settings - REQUIRED--> | ||
|{{#vardefine:app|usearch}} | |{{#vardefine:app|usearch}} | ||
| Line 20: | Line 20: | ||
USEARCH is a unique high-throughput sequence analysis tool. It is a distributed as single binary program that implements a suite of algorithms comparable to BLASTN, BLASTP, BLASTX, BLASTCLUST, CD-HIT, CD-HIT-EST, CD-HIT-2D, CD-HIT-EST-2D, CD-HIT-OTU, CD-HIT-454, ChimeraSlayer, Perseus, RAPsearch and more. It supports a rich set of sequence matching options, including E-values, identity, coverage (fraction of query or target sequence covered by the alignment) and maximum gap length, and a range of output file formats including FASTA, BLAST-like, user-defined tabbed text and a native format designed for clustering applications. Supported alignment styles include local (gapped and ungapped), like BLAST, and global, which is most often used in clustering applications. User-settable parameters allow tuning of substitution scores, gap penalties and Karlin-Altschul statistics. | USEARCH is a unique high-throughput sequence analysis tool. It is a distributed as single binary program that implements a suite of algorithms comparable to BLASTN, BLASTP, BLASTX, BLASTCLUST, CD-HIT, CD-HIT-EST, CD-HIT-2D, CD-HIT-EST-2D, CD-HIT-OTU, CD-HIT-454, ChimeraSlayer, Perseus, RAPsearch and more. It supports a rich set of sequence matching options, including E-values, identity, coverage (fraction of query or target sequence covered by the alignment) and maximum gap length, and a range of output file formats including FASTA, BLAST-like, user-defined tabbed text and a native format designed for clustering applications. Supported alignment styles include local (gapped and ungapped), like BLAST, and global, which is most often used in clustering applications. User-settable parameters allow tuning of substitution scores, gap penalties and Karlin-Altschul statistics. | ||
<!--Modules--> | <!--Modules--> | ||
| − | == | + | ==Environment Modules== |
| − | + | Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application. | |
| − | |||
| − | |||
==System Variables== | ==System Variables== | ||
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory | * HPC_{{uc:{{#var:app}}}}_DIR - installation directory | ||
| Line 65: | Line 63: | ||
</bibtex>--> | </bibtex>--> | ||
|}} | |}} | ||
| − | |||
| − | |||
Revision as of 19:40, 10 June 2022
Description
USEARCH is a unique high-throughput sequence analysis tool. It is a distributed as single binary program that implements a suite of algorithms comparable to BLASTN, BLASTP, BLASTX, BLASTCLUST, CD-HIT, CD-HIT-EST, CD-HIT-2D, CD-HIT-EST-2D, CD-HIT-OTU, CD-HIT-454, ChimeraSlayer, Perseus, RAPsearch and more. It supports a rich set of sequence matching options, including E-values, identity, coverage (fraction of query or target sequence covered by the alignment) and maximum gap length, and a range of output file formats including FASTA, BLAST-like, user-defined tabbed text and a native format designed for clustering applications. Supported alignment styles include local (gapped and ungapped), like BLAST, and global, which is most often used in clustering applications. User-settable parameters allow tuning of substitution scores, gap penalties and Karlin-Altschul statistics.
Environment Modules
Run module spider usearch to find out what environment modules are available for this application.
System Variables
- HPC_USEARCH_DIR - installation directory
- HPC_USEARCH_BIN - executable directory
Usage Policy
We have a 64-bit licensed USEARCH binary in the usearch/7.0.1001-64 module.
Citation
If you publish research that uses usearch you have to cite it as follows:
Edgar, Robert C. - Search and clustering orders of magnitude faster than BLAST Bioinformatics, 2010 Author : Edgar, Robert C. Title : Search and clustering orders of magnitude faster than BLAST Publication : Bioinformatics Date : 2010