RNA-Seq Blog https://validator.w3.org/feed/docs/rss2.html RNA-seq analysis of spaceflown mouse lungs reveals changes in circadian gene expression Nanopore RNA sequencing maps mitochondrial tRNA modifications in yeast Comparative study of single-cell and bulk RNA sequencing data from metastatic bone marrow neuroblastoma samples DNA and RNA sequencing reveal the real culprit behind severe early childhood caries Amaranth – enhanced single-cell transcript assembly via discriminative modelling of UMI reads and internal reads Examining the impact of aging on critical cellular processes NextLongIso – a comprehensive Nextflow pipeline for multi-dimensional long-read RNA-seq analysis The promise of long-read RNA-seq: reducing bias in analyses of allele imbalance Novogene Europe Expands Single-cell Sequencing Capability at Cambridge Omics Centre ISAtools improves full-length RNA isoform analysis from long-read RNA sequencing RNA-based testing uncovers extraordinary diversity in mutations driving lung cancer RNA biomarkers could improve the diagnosis and treatment of neuropathic pain Cell type signatures reveal shared features of Alzheimer’s disease across populations Rectangle – robust and scalable multiscale deconvolution informed by single-cell RNA sequencing data MiRformer – a dual-transformer-encoder framework for predicting microRNA-mRNA interactions from paired sequences Researchers show how early RNA-based life may have repaired its genome, providing insight into the origins of life Benchmarking long-read RNA sequencing tools for single-cell and spatial transcriptomics Precursor tRNAs sense temperature changes: heat stress-induced capped pre-tRNAs suppress protein synthesis Scientists map dormant cancer cells’ hideouts, opening new targets for treatment Soluble signals released by neighboring cells direct how the human kidney is built Deep learning improves cell cycle prediction from single-cell RNA sequencing scCap – annotation-free phenotype prediction using knowledge-augmented clustering from single-cell RNA sequencing data New findings could transform new treatment for rare brain tumor astroblastoma NanoncRNA-seq – an rRNA-depleted full-length transcriptome strategy for identification of novel lncRNA isoforms Genetic mapping identifies new hope for bone diseases Protein ‘switch’ determines whether liposarcoma cells will become aggressive RNA sequencing helps predict stem cell transplant benefit in pediatric AML Spatial RNA sequencing maps how T cells recognize tumors The Lomb–Scargle periodogram-based differentially expressed gene detection along pseudotime seq2ribo – structure-aware integration of machine learning and simulation to predict ribosome location profiles from RNA sequences scImmuneCo – a compendium of cell-type-specific functional modules for decoding immune responses from single-cell RNA-seq data New RNA sequencing model improves sequencing depth planning for UMI transcriptomics MitoClipSplice – machine learning improves RNA sequencing analysis of mitochondrial RNA processing Novel AI model trained on RNA-Seq data accurately detects key gene mutations and predicts biomarkers across 32 cancer types Novel electromagnetically tunable gene switch enables precise control of gene expression Transcriptome Sequencing Research & Industry News Somatic mutations linked to vascular damage in progeria Ketamine increases neuroplasticity in female mice but not in males Seq-Scope-X pushes spatial transcriptomics beyond optical resolution MIRACLE keeps single-cell atlases up to date with continual learning Genetics influence how cancer arises – and how it evolves Spatial transcriptomics benchmark compares leading platforms Learning the grammar of gene regulation Study offers new insights into why ex-smokers remain at elevated risk of lung disease STGBench – sequencing-level spatial DNA-RNA simulation for multimodal and virtual cell-oriented benchmarking of genomic alterations DeepDETAILS – high-resolution reconstruction of cell-type-specific transcriptional regulatory processes from bulk sequencing samples Blog Machine learning improves RNA sequencing annotation of active genes Transcriptomic aging clock reveals age-related molecular patterns in opioid dependence Combining RNA sequencing and pathology images identifies glioblastoma subgroups linked to survival