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Mining protein data from two‐dimensional gels: Tools for systematic post‐planned analyses
Author(s) -
Oh Jane M. C.,
Hanash Samir M.,
Teichroew Daniel
Publication year - 1999
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/(sici)1522-2683(19990101)20:4/5<766::aid-elps766>3.0.co;2-z
Subject(s) - computer science , data mining , database , data science , computational biology , bioinformatics , biology
There is a considerable need to develop comprehensive, systematic mechanisms to analyze the vast number of proteins that orchestrate various cellular functions and to identify proteins associated with disease or that are affected by pharmacological agents. Two‐dimensional polyacrylamide gel electrophoresis (2‐D PAGE) continues to be relied upon to analyze protein constituents of cells and tissues. We have developed a Laboratory Information Processing System (LIPS) as a computer‐based tool for capturing quantitative and qualitative changes in thousands of proteins detected in 2‐D gels of various types. Protein databases have been developed to serve as a repository for data processing of the basic and derived data and of findings derived from different studies. There have been remarkable advances both in database technology as well as in the computer hardware that have benefited our effort at mining protein data from 2‐D gels. We here review our current efforts aimed at improving the performance and features of our 2‐D related protein databases, with particular emphasis on the tools we utilize for database mining via a systematic analysis of information known as post‐planned analysis.