Analysis Pipelines

ALDEx2 – characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis

rna-seq

Experimental designs that take advantage of high-throughput sequencing to generate datasets include RNA sequencing (RNA-seq), chromatin immunoprecipitation sequencing (ChIP-seq), sequencing of 16S rRNA gene fragments, metagenomic analysis and selective growth experiments. In each case the underlying data are similar and ...

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PRADA: Pipeline for RNA sequencing Data Analysis

rna-seq

Technological advances in high throughput sequencing necessitate improved computational tools for processing and analyzing large-scale datasets in a systematic, automated manner. For that purpose, researchers at the MD Anderson Cancer Center have developed PRADA (Pipeline for RNA-Sequencing Data Analysis), a ...

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INsPeCT: INtegrative Platform for Cancer Transcriptomics

rna-seq

The emergence of transcriptomics, fuelled by high-throughput sequencing technologies, has changed the nature of cancer research and resulted in a massive accumulation of data. Computational analysis, integration, and data visualization are now major bottlenecks in cancer biology and translational research. ...

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