AnomalGRN – deciphering single-cell gene regulation network with graph anomaly detection
Understanding how genes interact and regulate each other at the cellular level is essential for uncovering the mechanisms behind development, disease, and treatment responses. Researchers from the Wenzhou University of Technology have developed AnomalGRN, a novel artificial intelligence (AI)-based ...
TRIAGE – an R package for regulatory gene analysis
When it comes to understanding how cells develop, function, and respond to disease, regulatory genes are the unsung heroes. These genes control the activity of other genes, shaping a cell’s identity and guiding its role in the body. But ...
pathlinkR – analyze and interpret RNA-Seq results
RNA sequencing (RNA-Seq) is a powerful technique that helps researchers study gene expression, giving them a window into what’s happening inside cells at a molecular level. However, analyzing RNA-Seq data can be challenging due to the large amount of ...
DeepGSEA – explainable deep gene set enrichment analysis for single-cell transcriptomic data
Gene set enrichment (GSE) analysis is a crucial tool for interpreting gene expression data. It helps scientists understand different phenotypes...
RENGE infers gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations
Single-cell RNA-seq analysis coupled with CRISPR-based perturbation has enabled the inference of gene regulatory networks with causal relationships. However, a snapshot of single-cell CRISPR data may...
Gene Set Analysis of Gwas Data With Magma in OmicsBox 3.1
The pursuit of genetic advancement in agricultural crops is a nuanced and ongoing scientific endeavor. The advent of Genome-Wide Association Studies (GWAS) marked a significant stride, offering a window into the intricate interplay between genetic variants and phenotypes. Yet, the ...
Scan – scanning sample-specific miRNA regulation
RNA-sequencing technology provides an effective tool for understanding miRNA regulation in complex human diseases, including cancers. A large number of computational methods have been developed to...
Pathway Analysis with OmicsBox: Analyzing a Salamander Limb Regeneration Transcriptomics Dataset
Researchers widely use pathway analyses as a tool for understanding the underlying biological mechanisms when dealing with a large number of features. One major issue is that they require pathway annotation data, which is usually only available for model or common organisms, making it difficult to analyze other lesser-known species...
QIAGEN launches RNA-seq Analysis portal with integrated Pathway Analysis
QIAGEN has launched the RNA-seq analysis portal (https://geneglobe.qiagen.com/us/analyze/rnaseq-analysis-and-biomarker-discovery-portal) which provides read-mapping and Ingenuity Pathway Analysis analysis to researchers looking for an easier way to go from Fastq file to biological insights. The portal is provided with the purchase of QIAseq ...
New method developed to infer gene regulatory networks from single-cell transcriptomic data
Single-cell RNA-sequencing (scRNA-seq) technologies offer the opportunity to understand regulatory mechanisms at single-cell resolution. Gene regulatory networks (GRNs) provide a crucial blueprint of regulatory mechanisms in cellular...
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Most Shared Posts
- Upcoming Conference – The Festival of Genomics & Biodata
- Gene trajectory inference for single-cell data by optimal transport metrics
- Upcoming Workshop – Advanced Topics in Single Cell RNA-Seq Analysis: Multiomics ATAC-Seq & RNA-Seq
- BAP-seq – bioorthogonal masked acylating agents for proximity-dependent RNA labelling
- Single-cell RNA-seq of the rare virosphere reveals the native hosts of giant viruses in the marine environment
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