Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
Protocol Name
PCPipe: Protein clustering with SIMAP annotations
DOI:10.17504/protocols.io.ehfbb3n RRID Copied  
PDF Report How to cite
Bonnie Hurwitz,  Ken Youens-Clark 2016. PCPipe: Protein clustering with SIMAP annotations. protocols.io dx.doi.org/10.17504/protocols.io.ehfbb3n
Copy Citation Copied
Protocol Information

URL: https://dx.doi.org/10.17504/protocols.io.ehfbb3n

Authors: Bonnie Hurwitz, Ken Youens-Clark

Group: VERVE Net, Hurwitz Lab

Summary: PCPipe is a protein-clustering tool.  The input is a set of ORFs and a FASTA file with already clustered ORFs. The process entails:Use cd-hit-2d to compare the input peptides to previously clustered proteinsThe result is a file with input proteins that clustered to existing clusters and those that did notUse the unclustered peptides and self-cluster them via cd-hitTake a representative sequence from each novel cluster, and use "blastp" to compare to SIMAP.Use the resulting SIMAP "feature_id" to look up the SIMAP features, merging the query results with the protein ID into a tab-delimited annotations fileProvide the user with two cluster files and the annotations for the new clusters based on the representative sequenceCode is freely available at Github.

Affiliations: University of Arizona, University of Arizona

Version: 1

Publication Date: 2016

Expand All
Usage and Citation Metrics

Coming soon.

Checkfor all resource mentions.

Collaborator Network

Coming soon.

Data and Source Information

Source: Protocols.io