Bioinformatics in proteomics

被引：34

作者：

Blueggel, M ^{[1
]}

Chamrad, D ^{[1
]}

Meyer, HE ^{[1
]}

机构：

[1] Protagen AG, D-44227 Dortmund, Germany

来源：

CURRENT PHARMACEUTICAL BIOTECHNOLOGY | 2004年 / 5卷 / 01期

基金：

芬兰科学院;

关键词：

bioinformatics; proteomics; expression proteomics; mass spectrometry; proteome database; automation; standardization; data analysis;

D O I：

10.2174/1389201043489648

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Proteomics technologies are under continuous improvements and new technologies are introduced. Nowadays high throughput acquisition of proteome data is possible. The young and rapidly emerging field of bioinformatics in proteomics is introducing new algorithms to handle large and heterogeneous data sets and to improve the knowledge discovery process. For example new algorithms for image analysis of two dimensional gels have been developed within the last five years Within mass spectrometry data analysis algorithms for peptide mass fingerprinting (PMP) and peptide fragmentation fingerprinting (PFF) have been developed. Local proteomics bioinformatics platforms emerge as data management systems and knowledge bases in Proteomics. We review recent developments in bioinformatics for proteomics with emphasis on expression proteomics.

引用

页码：79 / 88

页数：10

共 74 条

[11] Quality control and peak finding for proteomics data collected from nipple aspirate fluid by surface-enhanced laser desorption and ionization [J].