By integrating long-read and short-read transcriptomics with whole-genome resequencing, the team uncovered specific transcript variants and genetic ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

SEATTLE--(BUSINESS WIRE)--Parse Biosciences, the leading provider of accessible and scalable single cell sequencing solutions, today announced the launch of a fully integrated immune repertoire and ...

An exploratory study shows that combining short-term topical microdosing with gene-expression profiling can detect early drug ...

This manuscript presents an in-depth analysis of gene expression across multiple brown algal species with differing life histories, providing convincing evidence for the conservation of life ...

Abstract: Differentially expressed gene (DEG) signatures play a crucial role in transcriptomics, offering insight into cellular responses and disease mechanisms, thus accelerating drug and target ...

In the post-genomic era, long non-coding RNAs (lncRNAs) have emerged as critical regulators in various cancers and hold potential as minimally invasive diagnostic biomarkers. This study aimed to ...

Using genomic and transcriptional data has greatly improved the understanding of multiple aspects of human physiology. A new paper in PNAS reports on molecular-level associations of co-occurring ...

Abstract: Accurately identifying differentially expressed genes from time-course RNA-Seq data is essential for understanding the dynamics of transcriptome changes during biological processes. Although ...

Maize Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China Background: Cinnamoyl-CoA reductase (CCR) catalyzes the first step in lignin biosynthesis and is crucial for ...