Researchers have created new algorithms to help meet the need for computational tools that can analyze and extract information from the increasingly large datasets that are being...
Read More »End-seq – map both 5’ and 3’ transcript ends genome-wide at single nucleotide resolution in 3 days
At Eclipse BioInnovations (Eclipse Bio), we create tools that simplify, accelerate and advance RNA research. End-Seq technology is a recent development at Eclipse Bio, which we are excited to officially launch this month. Eclipse’s End-Seq products enable researchers to map ...
Read More »Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data
The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized transcriptomic studies. However, large-scale integrative analysis...
Read More »UICPC – Centrality-based clustering for scRNA-seq data analysis without user input
scRNA-seq data analysis enables new possibilities for identification of novel cells, specific characterization of known cells and study of cell heterogeneity...
Read More »Exogene – A performant workflow for detecting viral integrations from paired-end next-generation sequencing data
The integration of viruses into the human genome is known to be associated with tumorigenesis in many cancers, but the accurate detection of integration breakpoints from short read sequencing data is made difficult by human-viral homologies, viral genome heterogeneity, coverage ...
Read More »RNALocate v2.0 – an updated resource for RNA subcellular localization with increased coverage and annotation
Resolving the spatial distribution of the transcriptome at a subcellular level can increase our understanding of biology and diseases. To facilitate studies of biological functions and molecular...
Read More »New software unveils the relationships between RNA modifications and cancers
A research team from CSI Singapore investigated the associations between RNA modifications and clinical outcomes. They developed ModTect to...
Read More »Postdoc Position Available – Neurosurgery
The Serin Lab focus is on developing integrative approaches to dissect the molecular landscape of brain tumors using single-cell RNA sequencing and spatial transcriptomics data...
Read More »The eQTL Catalogue – a compendium of uniformly processed human gene expression and splicing quantitative trait loci
Many gene expression quantitative trait locus (eQTL) studies have published their summary statistics, which can be used to gain insight into complex human traits by downstream analyses, such as fine mapping and co-localization. However, technical differences between these datasets are ...
Read More »The Spatial Mouse Atlas: new insights into cell fate
Researchers have combined spatial gene expression information with single-cell genomics data to create a high-resolution atlas of mouse organogenesis...
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