Modular, scriptable and automated analysis tools for high-throughput peptide mass fingerprinting | Zendy

Jim Samuelsson | Zendy; Daniel Dalevi | Zendy; Fredrik Levander | Zendy; Thorsteinn Rögnvaldsson | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Modular, scriptable and automated analysis tools for high-throughput peptide mass fingerprinting

Author(s) -

Jim Samuelsson,

Daniel Dalevi,

Fredrik Levander,

Thorsteinn Rögnvaldsson

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth460

Subject(s) - computer science , software , identification (biology) , modular design , software engineering , interface (matter) , automation , matching (statistics) , java , peptide mass fingerprinting , scripting language , data mining , database , programming language , operating system , proteomics , engineering , mechanical engineering , biochemistry , statistics , botany , chemistry , mathematics , bubble , maximum bubble pressure method , gene , biology

A set of new algorithms and software tools for automatic protein identification using peptide mass fingerprinting is presented. The software is automatic, fast and modular to suit different laboratory needs, and it can be operated either via a Java user interface or called from within scripts. The software modules do peak extraction, peak filtering and protein database matching, and communicate via XML. Individual modules can therefore easily be replaced with other software if desired, and all intermediate results are available to the user. The algorithms are designed to operate without human intervention and contain several novel approaches. The performance and capabilities of the software is illustrated on spectra from different mass spectrometer manufacturers, and the factors influencing successful identification are discussed and quantified.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research