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Proteomic 2DE database for spot selection, automated annotation, and data analysis

Malmstrom, L ; Malmström, Johan LU ; Marko-Varga, György LU and Westergren-Thorsson, Gunilla LU (2002) In Journal of Proteome Research 1(2). p.135-138
Abstract
We present a software solution that enables faster and more accurate data analysis of 2DE/MALDI TOF MS data. The software supports data analysis through a number of automated data selection functions and advanced graphical tools. Once protein identities are determined using MALDI TOF MS, automated data retrieval from online databases provides biological information. The software, called 2DDB, reduces analysis time to a fraction without losing any quality compared to more manual data analysis. The database contains over 100 000 data entries, and selected parts can be reached at http://2ddb.org.
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
2DE/MALDI TOF MS, spot selection, automated annotation, 2DDB
in
Journal of Proteome Research
volume
1
issue
2
pages
135 - 138
publisher
The American Chemical Society (ACS)
external identifiers
  • wos:000178238600004
  • scopus:0036523840
ISSN
1535-3893
DOI
10.1021/pr010004i
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Analytical Chemistry (S/LTH) (011001004), Lung Biology (013212002)
id
fc8c0682-8886-47ed-a457-2f5cab615eec (old id 328275)
date added to LUP
2016-04-01 12:29:36
date last changed
2020-02-19 02:04:56
@article{fc8c0682-8886-47ed-a457-2f5cab615eec,
  abstract     = {We present a software solution that enables faster and more accurate data analysis of 2DE/MALDI TOF MS data. The software supports data analysis through a number of automated data selection functions and advanced graphical tools. Once protein identities are determined using MALDI TOF MS, automated data retrieval from online databases provides biological information. The software, called 2DDB, reduces analysis time to a fraction without losing any quality compared to more manual data analysis. The database contains over 100 000 data entries, and selected parts can be reached at http://2ddb.org.},
  author       = {Malmstrom, L and Malmström, Johan and Marko-Varga, György and Westergren-Thorsson, Gunilla},
  issn         = {1535-3893},
  language     = {eng},
  number       = {2},
  pages        = {135--138},
  publisher    = {The American Chemical Society (ACS)},
  series       = {Journal of Proteome Research},
  title        = {Proteomic 2DE database for spot selection, automated annotation, and data analysis},
  url          = {http://dx.doi.org/10.1021/pr010004i},
  doi          = {10.1021/pr010004i},
  volume       = {1},
  year         = {2002},
}