The technology of Single-cell RNA sequencing (scRNA-Seq) has enabled robust as well as simple access to the transcriptomes of the single cells. With Single Cell RNA-Seq, getting better insights about the individual cell tissues has become a lot easier. This, ...
Read More »DBiT-seq – in-tissue barcoding for spatially revolved whole transcriptome sequencing at cellular level
Formalin-fixed paraffin-embedded (FFPE) tissues are the most abundant archivable specimens in clinical tissue banks, but unfortunately incompatible with single-cell level transcriptome sequencing due to RNA...
Read More »Dolomite Bio releases new application on plant protoplast RNA sequencing of leaves
Dolomite Bio, a leading provider of high throughput single cell technology, launches a new application note demonstrating single cell RNA Sequencing of plant leaf protoplasts on the Nadia Innovate The Nadia Instrument exhibits unprecedented sample type and size compatibility, allowing ...
Read More »pySeqRNA – an automated Python package for RNA sequencing data analysis
With the advent of Next-Generation Sequencing (NGS) technologies, numerous data is being generated every day, however, analysis remains a big hurdle to efficiently use the technology as this data requires complex multi-step processing and...
Read More »Upcoming Online Workshop – Introduction to Single Cell RNA-Seq
This workshop will cover experimental design, data generation, and analysis of single cell RNA sequencing data (primarily generated using the...
Read More »RainDrop – Rapid activation matrix computation for droplet-based single-cell RNA-seq reads
Obtaining data from single-cell transcriptomic sequencing allows for the investigation of cell-specific gene expression patterns, which could not be addressed a few years ago. With the advancement of droplet-based protocols the number of studied...
Read More »Solo: doublet identification in single-cell RNA-seq via semi-supervised deep learning
Single-cell RNA sequencing (scRNA-seq) measurements of gene expression enable an unprecedented high-resolution view into cellular state. However, current methods often result in two or more cells that share the same cell-identifying barcode; these “doublets” violate the fundamental premise of single-cell ...
Read More »GiniClust3 – a fast and memory-efficient tool for rare cell type identification
With the rapid development of single-cell RNA sequencing technology, it is possible to dissect cell-type composition at high resolution. A number of...
Read More »Single-cell RNA-seq reveals the potential risk of different human organs vulnerable to 2019-nCoV infection
It has been known that, the novel Coronavirus, 2019-nCoV, which is considered similar to SARS-CoV and originated from Wuhan (China), invades human cells via the receptor angiotensin converting enzyme...
Read More »GeneSwitches: Ordering gene-expression and functional events in single-cell experiments
Emerging single-cell RNA-seq technologies has made it possible to capture and assess the gene expression of individual cells. Based on the similarity of gene expression profiles, many tools have been developed to generate an in silico ordering of cells in...
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