Switzerland / Sweden / United States / United Kingdom / /
Facility
OpenMS library / Medicon Village building / University of Manchester / TransProteomics Pipeline / Institute of Human Development / Lund University / Manchester Academic Health Sciences Centre / University of Liverpool / University Hospitals NHS Foundation Trust / University of Washington School / Institute of Integrative Biology / Institute of Molecular Systems Biology / /
IndustryTerm
numerical compression algorithms / software tools / read access to tools / analysis software / longer processing times / main proteomics tools / data processing tools / decompression algorithms / near-lossless compression algorithms / mass spectrometry software solutions / cloud computing / search engine / /
MarketIndex
set 10 / /
OperatingSystem
Microsoft Windows / /
Organization
Manchester Academic Health Sciences Centre / Faculty of Medicine / University of Liverpool / Liverpool / University of Washington School of Medicine / Department of Biology / Department of Immunotechnology / Faculty of Medical and Human Sciences / Institute for Systems Biology / Centre for Advanced Discovery and Experimental Therapeutics / Institute of Molecular Systems Biology / University of Manchester / Institute of Integrative Biology / NHS / Experimental Therapeutics / Lund University / Department of Clinical Sciences / American Society for Biochemistry / Institute of Human Development / /
Person
Numpress Linear / /
Position
representative / /
ProgrammingLanguage
Java / Python / XML / C++ / /
ProvinceOrState
Washington / /
PublishedMedium
Molecular Biology / Molecular Systems Biology / /
Technology
proteomics / XML / decompression algorithms / Bioinformatics / numerical compression algorithms / API / Extensible Markup Language / search engine / operating system / near-lossless compression algorithms / Java / caching / gel electrophoresis / Numpress Linear Prediction Compression algorithm / /
MCP Papers in Press. Published on March 27, 2014 as Manuscript O114Numerical compression schemes for proteomics mass spectrometry data Johan Teleman1, Andrew W. Dowsey2,3, Faviel F. Gonzalez-Galarza4, Simon Perk