English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  ICPL_ESIQuant – a Powerful Freeware Tool for Handling Proteomics LCESI- MS2 Experiments

Brunner, A., Kellermann, J., & Lottspeich, F. (2012). ICPL_ESIQuant – a Powerful Freeware Tool for Handling Proteomics LCESI- MS2 Experiments. Journal of Proteomics and Bioinformatics, 5(12), 279-282. doi:10.4172/jpb.1000250.

Item is

Files

show Files
hide Files
:
JPB-05-279[1].pdf (Any fulltext), 4MB
Name:
JPB-05-279[1].pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
open access article
License:
-

Locators

show

Creators

show
hide
 Creators:
Brunner, Achim1, Author              
Kellermann, Josef1, Author              
Lottspeich, Friedrich1, Author              
Affiliations:
1Lottspeich, Friedrich / Protein Analysis, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565158              

Content

show
hide
Free keywords: -
 Abstract: Among the MS-based quantitative methods using stable isotope labelling, the Isotope-Coded Protein Label (ICPL) technique has emerged as a powerful tool to identify and relatively quantify thousands of proteins within complex protein mixtures. The ICPL_ESIQuant 3.0 software package is one of the key components of the ICPL-ESI workflow, covering data processing steps like LC-MS feature detection, ICPL doublet/triplet/quadruplet quantification as well as a merging step of LC-MS features and Mascot search results. As unique features, the software performs isotope pattern overlap corrections and utilizes additional chemical knowledge, e.g. the physico-chemical properties of the ICPL labels, to discard false positive isotope pattern, which significantly improves the quality of the final peptide and protein results. ICPL_ESIQuant is the first freeware tool on the market, which supports both the shotgun proteomics strategy using Data Dependent Acquisition (DDA) and the directed proteomics strategy using mass inclusion lists for precursor ion selection. ICPL_ESIQuant 3.0 (32 and 64 bit versions) can be downloaded from https://sourceforge.net/projects/icplquant/ files/

Details

show
hide
Language(s): eng - English
 Dates: 2012-12-22
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.4172/jpb.1000250
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Proteomics and Bioinformatics
  Abbreviation : J Proteomics Bioinform
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 5 (12) Sequence Number: - Start / End Page: 279 - 282 Identifier: ISSN: 0974-276X