共 26 条
Protein Information and Knowledge Extractor: Discovering biological information from proteomics data
被引:6
作者:

Alberto Medina-Aunon, J.
论文数: 0 引用数: 0
h-index: 0
机构:
CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain

Paradela, Alberto
论文数: 0 引用数: 0
h-index: 0
机构:
CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain

Macht, Marcus
论文数: 0 引用数: 0
h-index: 0
机构:
Bruker Daltonik GmbH, Bremen, Germany CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain

Thiele, Herbert
论文数: 0 引用数: 0
h-index: 0
机构:
Bruker Daltonik GmbH, Bremen, Germany CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain

Corthals, Garry
论文数: 0 引用数: 0
h-index: 0
机构:
Turku Univ, Prote Res Grp, Turku Ctr Biotechnol, Turku, Finland
Abo Akad Univ, Turku, Finland CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain

Pablo Albar, Juan
论文数: 0 引用数: 0
h-index: 0
机构:
CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain
机构:
[1] CSIC, Prote Facil, Ctr Nacl Biotecnol, Madrid, Spain
[2] Bruker Daltonik GmbH, Bremen, Germany
[3] Turku Univ, Prote Res Grp, Turku Ctr Biotechnol, Turku, Finland
[4] Abo Akad Univ, Turku, Finland
来源:
关键词:
Bioinformatics;
Data mining;
Functional proteomics;
Proteome analysis;
Web tool;
GENE ONTOLOGY;
FUNCTIONAL-ANALYSIS;
TOOLS;
SETS;
IDENTIFICATIONS;
IDENTIFIERS;
NAVIGATION;
PLATFORM;
PRIDE;
CELLS;
D O I:
10.1002/pmic.201000093
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
One of the main goals in proteomics is to solve biological and molecular questions regarding a set of identified proteins. In order to achieve this goal, one has to extract and collect the existing biological data from public repositories for every protein and afterward, analyze and organize the collected data. Due to the complexity of this task and the huge amount of data available, it is not possible to gather this information by hand, making it necessary to find automatic methods of data collection. Within a proteomic context, we have developed Protein Information and Knowledge Extractor (PIKE) which solves this problem by automatically accessing several public information systems and databases across the Internet. PIKE bioinformatics tool starts with a set of identified proteins, listed as the most common protein databases accession codes, and retrieves all relevant and updated information from the most relevant databases. Once the search is complete, PIKE summarizes the information for every single protein using several file formats that share and exchange the information with other software tools. It is our opinion that PIKE represents a great step forward for information procurement and drastically reduces manual database validation for large proteomic studies. It is available at http://proteo.cnb.csic.es/pike.
引用
收藏
页码:3262 / 3271
页数:10
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