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CNVMM specializes in identifying copy number variations (CNVs) when there are repeated sequences in the reference genome. The input file is a single short read mapping result from any short read aligners. However, NNmapper or Bowtie2, which detect all mapping results for multi-reads, are recommended. To use the code, MATLAB installation is required. Mac or Linus system is required.

iMet-Q (intelligent Metabolomic Quantitation) is an automated tool with friendly user interfaces for quantifying metabolites in full-scan liquid chromatography-mass spectrometry (LC-MS) data. It has a complete quantitation procedure for noise removal, peak detection and peak alignment. In addition to accurate quantitation, iMet-Q provides the charge states and isotope ratios of detected compounds. It accepts input data in netCDF, mzXML, and mzML format and exports quantitation results in csv and txt format. The software source code is freely available under the license of GPL2.

This package contains code for use with Short Read DNA Sequencing technologies, and includes packages for ChIP-Seq, Whole Transcriptome Shotgun Sequencing, Whole Genome Shotgun Sequencing, SNP Detection, Transcript expression and file conversion.

Genome Scale Metabolic Networks are complex systems, Modules help to break them down and hence ease understanding and algorithmic complexity. FluxModules is a toolbox with code for module detection and module visualization.