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SnowyOwl: accurate prediction of fungal genes by using RNA-Seq

SnowyOwl: accurate prediction of fungal genes by using RNA-Seq

Locating the protein-coding genes in novel genomes is essential to understanding and exploiting the genomic information but it is still difficult to accurately predict all the genes. The recent availability of detailed information about transcript structure from high-throughput sequencing of ...

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MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing

MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing

Although the costs of next generation sequencing technology have decreased over the past years, there is still a lack of simple-to-use applications, for a comprehensive analysis of RNA sequencing data. There is no one-stop shop for transcriptomic genomics. Researchers from ...

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iRAP – an integrated RNA-seq Analysis Pipeline

iRAP – an integrated RNA-seq Analysis Pipeline

RNA-sequencing (RNA-Seq) has become the technology of choice for whole-transcriptome profiling. However, processing the millions of sequence reads generated requires considerable bioinformatics skills and computational resources. At each step of the processing pipeline many tools are available, each with specific ...

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RNA-seq gene profiling – a systematic empirical comparison

RNA-seq gene profiling – a systematic empirical comparison

RNA-seq gene profiling – a systematic empirical comparison Nuno A Fonseca, John A Marioni, Alvis Brazma Accurately quantifying gene expression levels is a key goal of experiments using RNA-sequencing to assay the transcriptome. This typically requires aligning the short reads ...

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