Nature

Huge Chinese cell atlas reveals surprising immune variation among peoples

A giant functional atlas of immune cells in a Chinese cohort reveals crucial differences with European and Japanese data sets ...
The Scientist

PCR Assays Capture Gene Expression Insights

PCR-based techniques have transformed how scientists analyze transcripts’ translational applications in cancer and ...
eLife

Fragile nucleosomes are essential for RNA Polymerase II to transcribe in eukaryotes

Nucleosomes are barriers to RNA Polymerase II (Pol II) transcribing along gene bodies in eukaryotes. We found that a fragile “tailless nucleosome” could be generated to resolve the Pol II pausing ...
GitHub

A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long-Read Data

SpecImmune can type HLA, KIR, IG, TCR, and CYP genes with high accuracy by categorizing long reads to specific loci and selecting the best-matching alleles from a reference database. find pharmvar-* ...
IEEE

Improving Handwritten Mathematical Expression Recognition via Integrating Convolutional Neural Network With Transformer and Diffusion-Based Data Augmentation

Abstract: Handwritten mathematical expression recognition (HMER) poses a formidable challenge due to the intricate two-dimensional structures and diverse handwriting styles. This paper introduces a ...
eLife

Translational reading frame determines the pathogenicity of C-terminal frameshift deletions in MeCP2: an alternative therapeutic approach

This study offers important insight into the pathogenic basis of intragenic frameshift deletions in the carboxy-terminal domain of MECP2, which account for some Rett syndrome cases, yet similar ...
AlphaGalileo

A Redox switch for resilience: How a rubber tree gene strengthens plant stress defense

A research team has identified a key gene from the rubber tree that helps plants better defend themselves against both ...
GitHub

Fine-tuning sequence-to-expression models on personal genome and transcriptome data

The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...