Title |
multiplierz: an extensible API based desktop environment for proteomics data analysis
|
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Published in |
BMC Bioinformatics, October 2009
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DOI | 10.1186/1471-2105-10-364 |
Pubmed ID | |
Authors |
Jignesh R Parikh, Manor Askenazi, Scott B Ficarro, Tanya Cashorali, James T Webber, Nathaniel C Blank, Yi Zhang, Jarrod A Marto |
Abstract |
Efficient analysis of results from mass spectrometry-based proteomics experiments requires access to disparate data types, including native mass spectrometry files, output from algorithms that assign peptide sequence to MS/MS spectra, and annotation for proteins and pathways from various database sources. Moreover, proteomics technologies and experimental methods are not yet standardized; hence a high degree of flexibility is necessary for efficient support of high- and low-throughput data analytic tasks. Development of a desktop environment that is sufficiently robust for deployment in data analytic pipelines, and simultaneously supports customization for programmers and non-programmers alike, has proven to be a significant challenge. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Russia | 1 | 2% |
Italy | 1 | 2% |
Austria | 1 | 2% |
Unknown | 45 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 27% |
Researcher | 12 | 24% |
Other | 5 | 10% |
Professor > Associate Professor | 5 | 10% |
Student > Bachelor | 3 | 6% |
Other | 6 | 12% |
Unknown | 5 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 19 | 39% |
Chemistry | 7 | 14% |
Biochemistry, Genetics and Molecular Biology | 6 | 12% |
Computer Science | 5 | 10% |
Engineering | 5 | 10% |
Other | 2 | 4% |
Unknown | 5 | 10% |