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A generic platform for the analysis of high throughput transcriptomics, proteomics, and metabolomics data.

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HTDA-High Throghput Data Analysis

A generic platform for the analysis of high throughput transcriptomics, proteomics and metabolomics data.

Description

This vignette describe the classes and objects implemented in HTDA package. The aim of HTDA package is to provide a single platform for the analysis of high throghput data (RNASeq, LCMS and GCMS). HTDA currently is in developing phase and w ill test it on real data. This package is completely free and open source.If you use it, find any bug and in case of question then please contact me. I will appreciate any suggestion.

R-Forge Link

https://r-forge.r-project.org/projects/htda/

Contact information

Reema Singh ([email protected])

Publication

Singh R. Development and application of data management and analysis protocols for high throughput data analysis (Doctoral dissertation, Jawaharlal Nehru University, 2015).

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A generic platform for the analysis of high throughput transcriptomics, proteomics, and metabolomics data.

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