Although metatranscriptomics-the study of diverse microbial population activity based on RNA-seq data-is rapidly growing in popularity, there are limited options for biologists to analyze this type of data. Current approaches for processing metatranscriptomes rely on restricted databases and a dedicated ...
Read More »Tools & best practices for the high-throughput production of allelic expression data from RNA-sequencing data
Allelic expression analysis has become important for integrating genome and transcriptome data to characterize various biological phenomena such as cis-regulatory variation and nonsense-mediated decay. Researchers at the New York Genome Center analyzed the properties of allelic expression read count data ...
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