NASC-seq2 – principles of transcription at the resolution of individual bursts
Imagine a factory where products are made in short, intense bursts rather than in a…
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CDCA – community detection in RNA-seq data using centrality-based approach
When studying complex diseases like schizophrenia and bipolar disorder, understanding how genes interact with each…
IL-AD – adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection
RNA modifications, such as N6-methyladenosine (m6A) and N1-methyladenosine (m1A), play critical roles in regulating gene…
COMSE – analysis of single-cell RNA-seq data using community detection-based feature selection
Single-cell RNA sequencing (scRNA-seq) is a powerful technique that allows scientists to study individual cells…
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing
Researchers at the Imperial College London have developed a new model that helps us understand…
biVI – biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing data
Understanding how genes are expressed in individual cells is key to unlocking the mysteries of…
sCIRCLE – an interactive visual exploration tool for single cell RNA-Seq data
A research team from HIRI and THWS develops a tool for visualizing single-cell data Modern…
dRNASb – a systems biology approach to decipher dynamics of host-pathogen interactions using temporal dual RNA-seq data
When our body gets infected, a complex battle ensues between our immune system and the…
SwitchFinder – a systematic search for RNA structural switches across the human transcriptome
RNA structural switches play crucial roles in regulating gene expression, particularly in bacteria, but their…
Exploring functional conservation in silico: a new machine learning approach to RNA-editing
About 50 years ago, the field of molecular biology began to uncover the mechanisms behind…