Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
bin
 
 
lib
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.rdoc

bio-cnls_screenscraper

bio-cnls_screenscraper is a programmatic biogem interface to nls-mapper.iab.keio.ac.jp/cgi-bin/NLS_Mapper_form.cgi - a server for prediction of importin α-dependent nuclear localization signals.

First, cache the results for each sequence in your amino acid sequence fasta file. This contacts the cNLS server once for each sequence, waiting 1 second in between so as not to overload the server. Each result is saved as a separate HTML file, so it is best to do this command in an empty directory.

mkdir cNLS_cache
cd cNLS_cache
bio-nls_screenscraper.rb -h <fasta_file> 2>cNLS_caching.err

Then parse these HTML files and collate into a single tab-separated values file. Perhaps best to put the results file not in the cache directory. The parsing uses the default cutoff of 8.0 for monopartite NLSs, and 7.0 for bipartite NLSs.

bio-nls_screenscraper.rb -cp >../cNLS_results.csv

Some sequences are unacceptable to the cNLS server - sequences that are too short (<19 aa), too long, or contain non-standard amino acids such as 'X'.

Citing

If you use this software, please cite:

Organellar proteomics reveals hundreds of novel nuclear proteins in the malaria parasite Plasmodium falciparum

Sophie C Oehring, Ben J Woodcroft, Suzette Moes, Johanna Wetzel, Olivier Dietz, Andreas Pulfer, Chaitali Dekiwadia, Pascal Maeser, Christian Flueck, Kathrin Witmer, Nicolas MB Brancucci, Igor Niederwieser, Paul Jenoe, Stuart A Ralph and Till S Voss

Genome Biology 2012, 13:R108 doi:10.1186/gb-2012-13-11-r108

Copyright © 2011 Ben J. Woodcroft. See LICENSE.txt for further details.

About

a bioruby plugin for interaction with the cNLS (classical Nuclear Localisation Signal) predictor

Resources

License

Packages

No packages published

Languages

You can’t perform that action at this time.