Search Results for "linux data recovery tool"
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Showing 8 open source projects for "linux data recovery tool"
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Workbench for visualizing biological networks (regulatory, interaction, and metabolic). Can be used as a front-end for BNDB datawarehouses, but also as stand-alone tool.
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IQuant
A pipeline for quantitative proteomics based upon isobaric tags
IQuant is an automated pipeline for quantitative proteomics based upon isobaric tags. It integrates post-processing tool of protein identification and advanced statistical algorithms to process the MS/MS signals generated from the peptides labeled by isobaric tags for quantification. IQuant can run from a graphical user interface (GUI) as well as a command-line interface and work with both Windows and Linux system. This website contains the IQuant software, an example data labeled by iTRAQ-8plex for testing and a user's manual. ... -
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PAICE is a rapid bioinformatics pathway visualization tool for KEGG-compatible accessions derived from Illumina Solexa next-gen and Affymetrix datasets. It colors KEGG pathways while appreciating detection-calls and duplicate gene copies.
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The Hanalyzer is a tool designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. It combines information extraction, semantic data integration, reasoning, and visualization.
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ProteinShader is a molecular visualization tool that can produce illustrative renderings of proteins that approximate what an artist might create using pen and ink. This free platform-independent program is written in Java and OpenGL Shading Language.
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JPhysChem - a mathematical modeling toolbox designed to provide an abstract layer and a comprehensive graphical front-end for general model building and specific modeling and data processing in the field of mass spectrometry and physical chemistry.
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PARPs database is a web-based tool whose features include experiment annotation, protein database searching, protein sequence management.Statistical validation, , visualization, and converters from raw MS data open mzXML mzData format
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