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 ...

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

RNA plays critical roles in nearly all biological processes, but current methods for sequencing RNA are significantly limited. This is partially because RNA molecules are chemically modified within ...

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 ...

In this Teach Me in 10 episode, Dr. Shaveta Goyal, Group Leader of NGS at Takara Bio USA, outlines the practical ...

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

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 ...

A new sequencing-based method uses molecular barcodes to trace synaptic connections among neurons. The approach enables large ...

An individual’s genome is identifiable. But datasets of RNA sequences from single cells are like a blurry photocopy of the genome. The sequence numbers are small, the data are noisy, and the sequences ...

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 ...