tandem-mass 1:2013.09.01-1 source package in Ubuntu
Changelog
tandem-mass (1:2013.09.01-1) unstable; urgency=low * Packaging of X!Tandem (SLEDGEHAMMER 2013.09.01, from http://www.thegpm.org/tandem/) for Debian GNU/Linux (Olivier Langella <email address hidden>, with the great help of Filippo Rusconi <email address hidden>); * Upload by Filippo Rusconi <email address hidden>. -- The Debichem Group <email address hidden> Fri, 22 Nov 2013 10:21:32 +0200
Upload details
- Uploaded by:
- Debichem Team
- Uploaded to:
- Sid
- Original maintainer:
- Debichem Team
- Architectures:
- any
- Section:
- misc
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Trusty | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
tandem-mass_2013.09.01-1.dsc | 1.4 KiB | efa05911e4fed711e5cd625ba673210acde7a2da0f36b554e4f0e4e4a705e6c6 |
tandem-mass_2013.09.01.orig.tar.gz | 2.5 MiB | ecb2297262e82a8a0804b294b75f10c23e9fb0cd1566bedd92f5845d3f07f17c |
tandem-mass_2013.09.01-1.debian.tar.gz | 4.9 KiB | d1a48495de0ad110f960748d6e34db570985d49e8a78abd4e9149a83d2ac7121 |
Available diffs
No changes file available.
Binary packages built by this source
- tandem-mass: mass spectrometry software for protein identification
X! Tandem can match tandem mass spectra with peptide sequences, in a
process that is commonly used to perform protein identification.
.
This software has a very simple, unsophisticated application
programming interface (API): it simply takes an XML file of
instructions on its command line, and outputs the results into an XML
file, which has been specified in the input XML file. The output file
format is described at
\fI`http://www.thegpm. org/docs/ X_series_ output_ form.pdf'\fR.
.
Unlike some earlier generation search engines, all of the X! Series
search engines calculate statistical confidence (expectation values)
for all of the individual spectrum-to-sequence assignments. They also
reassemble all of the peptide assignments in a data set onto the
known protein sequences and assign the statistical confidence that
this assembly and alignment is non-random. The formula for which can
be found here. Therefore, separate assembly and statistical analysis
software, e.g. PeptideProphet and ProteinProphet, do not need to be
used.