

Transcriptomics Tools
« Transcriptome Analyses based on MAssive
sequencing of RnAs » (TAMARA) platform is designed for RNA-Seq analyses.
Next-Generation Sequencing (NGS) protocols provide powerful new approaches to study transcriptomes. These approaches, called RNA-Seq, consist in converting transcripts to cDNAs, which are then sequenced with high coverage. Compared to microarray-based transcriptomics, RNA-Seq provides direct access to the structure of transcripts, is not limited to a list of predefined transcripts, and covers a larger dynamic range of expression levels.
To analyze RNA-Seq expression data for genomes included in the platform, a pipeline is integrated in MicroScope. This pipeline handles the following steps: (1) preprocessing of raw sequencing reads, (2) mapping of reads on reference genomes, (3) computation of transcript coverage along genome and expression levels for genomic objects (genes, sRNAs, ...), (4) test of differential expression between samples of distinct experimental conditions. Data and results are visualized and integrated within the web interface. Read coverages are directly plotted on IGV genome browser. Highly differentially expressed genes can be exported to gene carts and further analyzed using other MicroScope tools.
Next-Generation Sequencing (NGS) protocols provide powerful new approaches to study transcriptomes. These approaches, called RNA-Seq, consist in converting transcripts to cDNAs, which are then sequenced with high coverage. Compared to microarray-based transcriptomics, RNA-Seq provides direct access to the structure of transcripts, is not limited to a list of predefined transcripts, and covers a larger dynamic range of expression levels.
To analyze RNA-Seq expression data for genomes included in the platform, a pipeline is integrated in MicroScope. This pipeline handles the following steps: (1) preprocessing of raw sequencing reads, (2) mapping of reads on reference genomes, (3) computation of transcript coverage along genome and expression levels for genomic objects (genes, sRNAs, ...), (4) test of differential expression between samples of distinct experimental conditions. Data and results are visualized and integrated within the web interface. Read coverages are directly plotted on IGV genome browser. Highly differentially expressed genes can be exported to gene carts and further analyzed using other MicroScope tools.