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Optimizing RNA-Seq Mapping with STAR

Optimizing RNA-Seq Mapping with STAR

Sequencing of transcribed RNA molecules (RNA-seq) is an invaluable tool for studying cell transcriptomes at high resolution and depth. RNA-seq datasets typically consist of tens to hundreds of millions of relatively short (30–200 nt) sequence fragments of the original RNA ...

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Fine-mapping cellular QTLs with RASQUAL and ATAC-seq

Fine-mapping cellular QTLs with RASQUAL and ATAC-seq

When cellular traits are measured using high-throughput DNA sequencing, quantitative trait loci (QTLs) manifest as fragment count differences between individuals and allelic differences within individuals. Researchers from the Wellcome Trust Sanger Institute have developed RASQUAL (Robust Allele-Specific Quantitation and Quality Control), ...

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Mapping RNA-seq Reads with STAR

Mapping RNA-seq Reads with STAR

Mapping of large sets of high-throughput sequencing reads to a reference genome is one of the foundational steps in RNA-seq data analysis. The STAR software package performs this task with high levels of accuracy and speed. In addition to detecting ...

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