New software developed by Peter Mac and collaborators is helping patients diagnosed with acute lymphoblastic leukaemia (ALL) to determine what subtype they have. ALL is the most common...
Read More »nf-rnaSeqCount – a Nextflow pipeline for obtaining raw read counts from RNA-seq data
The rate of raw sequence production through Next-Generation Sequencing (NGS) has been growing exponentially due to improved technology and reduced costs. This has enabled researchers to answer many biological questions through "multi-omics"...
Read More »Characterization and sequence mapping of large RNA and mRNA therapeutics using mass spectrometry
Large RNA including mRNA (mRNA) has emerged as an important new class of therapeutics. Recently, this has been demonstrated by two highly efficacious vaccines based on mRNA sequences encoding for a modified version of the SARS-CoV-2 spike protein. There is ...
Read More »FIRM – Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets
Single-cell RNA-sequencing (scRNA-seq) is being used extensively to measure the mRNA expression of individual cells from deconstructed tissues, organs and even entire organisms to generate cell atlas...
Read More »A LAMP sequencing approach for high-throughput co-detection of SARS-CoV-2 and influenza virus in human saliva
The COVID-19 pandemic has created an urgent need for rapid, effective, and low-cost SARS-CoV-2 diagnostic testing. Researchers at the University of Pennsylvania Perelman School of Medicine describe...
Read More »ICARUS – an interactive web server for single cell RNA-seq analysis
Researchers from the University of Auckland have developed ICARUS, a web server to enable users without experience in R to undertake single cell...
Read More »IMGG – integrating multiple single-cell datasets through connected graphs and generative adversarial networks
There is a strong need to eliminate batch-specific differences when integrating single-cell RNA-sequencing (scRNA-seq) datasets generated under different experimental conditions for downstream...
Read More »Halo-seq – An RNA proximity labeling method for the isolation and analysis of subcellular RNA populations
The subcellular localization of specific RNA molecules promotes localized cellular activity across a variety of species and cell types. The misregulation of this RNA targeting can result in developmental defects, and mutations in proteins that regulate this process are associated ...
Read More »NEAT-seq – simultaneous profiling of intra-nuclear proteins, chromatin accessibility and gene expression in single cells
Stanford University School of Medicine researchers have developed NEAT-seq (sequencing of nuclear protein epitope abundance, chromatin accessibility and the transcriptome in single cells), enabling...
Read More »New tool integrates microbiome and host genetic sequencing analysis
A new software tool makes it easier to study relationships between a host, its microbiome and pathogens like HIV or SARS-CoV-2. Researchers...
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