MS2Assign statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Cross-linked peptide identification chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

MS2Assign specifications

Information


Unique identifier OMICS_27495
Name MS2Assign
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data The peptide amino acid sequence.
Operating system Unix/Linux, Windows
Programming languages C
Computer skills Advanced
Maintained Yes

Versioning


Add your version

Maintainer


  • person_outline Bradford Gibson <>

Publication for MS2Assign

MS2Assign in publications

 (2)
PMCID: 3044266
PMID: 21342541
DOI: 10.1186/1471-2105-12-S1-S12

[…] as it can be seen, in terms of correct identifications (as well as minimizing false positives), the proposed approach outperformed all the predictive techniques., at the state-of-the-art ms2assign [] and massmatrix [] are two ms-based methods that can be applied to the problem of determining s-s bond connectivity. in our previous work [], the ms2db system developed by us was found […]

PMCID: 2938055
PMID: 20360032
DOI: 10.1074/mcp.R000001-MCP201

[…] which are particularly relevant for cross-linked samples. therefore, candidate cross-links identified by accurate mass data alone must be further confirmed at the ms/ms level using programs such as ms2assign ()., the development of instruments that are suitable for high throughput lc-ms/ms analysis (e.g. fticr and orbitrap hybrid instruments) and provide high mass accuracy now allows […]


To access a full list of publications, you will need to upgrade to our premium service.

MS2Assign institution(s)
Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA; Buck Institute for Age Research, Novato, CA, USA; Sandia National Laboratory, Livermore, CA, USA
MS2Assign funding source(s)
Supported by the National Science Foundation (CHE-0118481), the Sandler Foundation, the Department of Energy, the Irwin Foundation by its financial support of mass spectrometry at the Buck Institute and the NCRR for partial support of instrumentation at UCSF (RR01614).

MS2Assign reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review MS2Assign