Improved RNA stability estimation through Bayesian modeling reveals insights into RNA decay rates
Gene expression, the process by which information encoded in DNA is translated into functional molecules…
Browsing: Analysis Pipelines
Making the right choice! – How software is heavily influencing your omics research results and reproducibility.
Choosing the right software for RNA sequencing (RNA-seq) analysis is as important as designing the…
Machine learning on alignment features for parent-of-origin classification of simulated hybrid RNA-seq
Understanding how genes are expressed and regulated is essential for unraveling the mysteries of life.…
SegPore – raw signal segmentation for estimating RNA modifications and structures from Nanopore direct RNA sequencing data
Estimating RNA modifications from Nanopore direct RNA sequencing data is an important task for the…
ScRAT – phenotype prediction from single-cell RNA-seq data using attention-based neural networks
Understanding the cellular basis of disease phenotypes is crucial for developing targeted therapies. Traditional bulk…
LR Hunting – a random forest based cell–cell interaction discovery method for single-cell gene expression data
Cell-cell interactions (CCIs) and communication (CCC) play vital roles in orchestrating complex biological systems. Understanding…
CLIPPR – leveraging single-cell sequencing to classify and characterize tumor subgroups in bulk RNA sequencing data
Cancer is not a single disease but a diverse group of diseases characterized by distinct…
Digital RNA sequencing using unique molecular identifiers enables ultrasensitive RNA mutation analysis
Understanding genetic mutations is crucial for various applications, from diagnosing diseases to unraveling the complexities…
KinPred-RNA – kinase activity inference and cancer type classification using machine learning on RNA-seq data
Kinases play a pivotal role in regulating various cellular processes by transferring phosphate groups from…
rMATS-turbo – an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data
The process of alternative splicing adds a layer of complexity to the way genetic information…