ProteoSAFe

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Contact: CCMS [ccms (at) proteomics.ucsd.edu]

Summary

Although computational mass spectrometry (MS) has greatly boosted proteomics research, software for MS searches is generally underutilized. When using MS software, scientists face three obstacles: fiddly software chaining, time-consuming execution, and unfriendly user interfaces. Due to these obstacles, using such software becomes a laborious, tedious, and error-prone experience. To alleviate the struggling, some researchers bring in integrated software platforms that automate the worst of the whole process. However, MS searches grow complex quickly and so do obstacles, which grow faster than most platforms can accommodate and therefore we often end up tailoring them, but in vain. To address this problem, our ProteoSAFe Proteomics Environment is Scalable in utilizing distributed computing, Accessible via reconfigurable, easy-to-learn user interfaces, and Flexible in tool chaining.

Workflows

Version 1.2.3 of ProteoSAFe contains the following pre-defined workflows:

Documentation

Installation information and other documentation can be found here.

Latest Releases

ProteoSAFe

1.2.4

GenoMS

2012.01.10

Inspect, MS-Alignment

2012.01.09

Meta-SPS

2013.04.30

MixDB

2011.12.06

MS-Clustering

2011.03.27

MS-Dictionary

2007.11.30

MS-GappedDictionary

2011.06.15

MS-GeneratingFunction

2010.10.14

MS-GFDB

2012.06.07

MS-GF+

2013.04.10

M-SPLIT

2011.06.05

PepNovo

2012.04.23

Spectral Networks

Sept 2007

UniNovo

2013.03.10

Copyright Notice

 

Media Coverage


Nonribosomal Peptide Dereplication and Sequencing (Scientific American, Genetic Engineering News, Natural Products Industry Insider and Genome Web Daily News)

A powerful tool for PTM discovery (Jan 2008, Journal of Proteome research, Vol 7. Issue 1)

From spectral networks to shotgun sequencing (June 2007, Nature Methods, Vol. 4 No. 6)

Identifying peptides without a database (May 2007, Journal of Proteome Research)

UCSD Computer Scientist Wins Young Investigator Award, Research on Snake Venom Proteins Highlighted (Nov 2006, UCSD)