Genome and transcriptome sequencing applications that rely on variation in sequence depth can be negatively affected if there are systematic biases in coverage. Researchers at Uppsala University, Sweden have investigated patterns of local variation in sequencing coverage by utilising ultra-deep ...
Read More »Implication of quality score for de novo transcriptome reconstruction of Illumina reads
Downstream analyses of short-reads from next-generation sequencing platforms are often preceded by a pre-processing step that removes uncalled and wrongly called bases. Standard approaches rely on their associated base quality scores to retain the read or a portion of it ...
Read More »A Novel Statistical Approach for Jointly Analyzing RNA-seq Data from Reciprocal Crosses and Inbred Lines
RNA sequencing (RNA-seq) not only measures total gene expression but may also measure allele-specific gene expression in diploid individuals. RNA-seq data collected from F1 reciprocal crosses in mouse can powerfully dissect strain and parent-of-origin effects on allelic imbalance of gene ...
Read More »RNA sequencing read depth requirement for optimal transcriptome coverage
One of the concerns of assembling de novo transcriptomes is determining the amount of read sequences required to ensure a comprehensive coverage of genes expressed in a particular sample. In this report, researchers from the Rubber Research Institute of Malaysia ...
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