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…
Browsing: Analysis Pipelines
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…
CANAL – continually adapting pre-trained language model to universal annotation of single-cell RNA-seq data
Annotating cell types within single-cell RNA sequencing (scRNA-seq) datasets has posed a significant challenge, especially…
scEM – a new ensemble framework for predicting cell type composition based on scRNA-seq data
In recent years, single-cell RNA sequencing (scRNA-seq) technology has revolutionized our understanding of cellular composition…
STACAS – semi-supervised integration of single-cell transcriptomics data
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular diversity and function. However, the…
TFvelo – gene regulation inspired RNA velocity estimation
Understanding the dynamics of gene expression within single cells is crucial for deciphering cell fate…
Unraveling genomic mysteries: Sniffles2 and the quest for accurate structural variant calling
In the intricate landscape of genomics, uncovering structural variations (SVs) within the genome is akin…
Nucleotide-level distance metrics to quantify alternative splicing implemented in TranD
Advances in affordable transcriptome sequencing combined with better exon and gene prediction has motivated many…