Data Analysis

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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Comparing Data Across RNA-Seq Studies

rna-seq

High-throughput sequencing is now regularly used for studies of the transcriptome (RNA-seq), particularly for comparisons among experimental conditions. For the time being, a limited number of biological replicates are typically considered in such experiments, leading to low detection power for ...

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TSSAR: TSS annotation regime for dRNA-seq data

rna-seq

Differential RNA sequencing (dRNA-seq) is a high-throughput screening technique designed to examine the architecture of bacterial operons in general and the precise position of transcription start sites (TSS) in particular. Hitherto, dRNA-seq data were analyzed by visualizing the sequencing reads ...

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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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