引言当我们能够以极快的速度测序出一个又一个物种的基因组时，生命科学领域正面临着一个日益严峻的尴尬局面：我们掌握了海量的由A、T、C、G组成的生命“字母表”，却越来越难以准确读懂这些字母所拼凑出的“词汇”和“句子”。为了打破这一将基因组序列映射到生物学 ...

High background noise in RNA samples can impact read accuracy and increase sequencing costs. Optimizing sample quality enables better microRNA mapping and more reliable insights in transcriptomics and ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

Selecting an RNA-seq workflow requires more than matching a kit to a sample type. Choices around ribodepletion, strandedness, and unique molecular identifiers (UMIs) directly influence data quality ...

The answer depends on the questions you’re trying to answer, as well as the origin, quantity, and quality of your samples. In this article, we’ll briefly discuss several RNA-seq workflows, how they ...

Morgan Hiebert (left) studies drug-resistant tuberculosis within the National Reference Centre for Mycobacteriology (Winnipeg, Manitoba) led by Hafid Soualhine, situated in the National Microbiology ...

Years of experiments and databases filled with RNA-seq results belie the simple reality that, until fairly recently, it was impossible to analyze RNA directly. The RNA-seq studies performed with ...

RNA sequencing (RNA-seq) is a powerful tool in diagnosing Mendelian disorders, but the optimized sequencing depth for this technology has not yet been determined. In a new study published in the ...

Northwestern University in Illinois, US, has announced a new method for detecting RNA modification patterns in blood samples that could enhance early colon cancer detection. This was detailed in a ...