An end-to-end computational framework for “Record-seq” transcriptional recording data
RNA sequencing, or RNA-seq, provides a snapshot of which genes are active in a biological sample at the time it is collected. Record-seq takes a different approach. Instead of measuring RNA directly at one moment, it allows engineered bacteria ...
PotatoRTD and TomatoRTD: comprehensive reference transcript datasets for accurate transcriptome analysis and isoform discovery
Genes can produce more than one RNA transcript, allowing a single gene to generate different versions of RNA that may ultimately produce different proteins. Accurately identifying these transcript variants, known as isoforms, is important for understanding how genes function ...
NextLongIso – a comprehensive Nextflow pipeline for multi-dimensional long-read RNA-seq analysis
Long-read RNA sequencing has given researchers a powerful way to examine the full range of RNA molecules produced by cells. Technologies from Pacific Biosciences, or PacBio, and Oxford Nanopore Technologies, or ONT, can sequence much longer stretches of RNA ...
Deep learning improves cell cycle prediction from single-cell RNA sequencing
Single-cell RNA sequencing has given researchers an unprecedented view of how individual cells behave. One important piece of information scientists often want to know is where each cell is in the cell cycle, the series of stages that cells ...
MIRACLE keeps single-cell atlases up to date with continual learning
RNA sequencing has made it possible to study the activity of individual cells, revealing that even cells of the same type can behave very differently. By combining RNA sequencing with other types of molecular data, researchers have created detailed ...
STGBench – sequencing-level spatial DNA-RNA simulation for multimodal and virtual cell-oriented benchmarking of genomic alterations
Spatial genomics and spatial transcriptomics are helping researchers understand how tumors grow, evolve, and respond to treatment by showing where genetic changes occur within tissues. However, developing and testing new analysis software has been difficult because researchers rarely have ...
Improving gene expression analysis with APA-seq data
Gene expression studies often focus on measuring how much of a gene is being produced in different cells or tissues. However, genes can also be regulated after transcription through processes that affect how RNA molecules are processed. One important ...
miND standardizes small RNA sequencing analysis for biomarker discovery
Small RNAs have become increasingly important in biomarker research because they can provide information about disease status using relatively accessible samples such as blood, urine, plasma, and extracellular vesicles. Among these molecules, microRNAs (miRNAs) are especially well known because ...
Transcriptomics in space, an RNA sequencing pipeline for space biology research
RNA sequencing supports space biology research by enabling transcriptome-wide analysis of gene expression changes associated with spaceflight and adaptation to space...
SCSEQ – A web tool for analyzing single-cell RNA-seq data
Single-cell RNA sequencing helps researchers study gene activity one cell at a time. This makes it possible to uncover differences between cells that may look similar under a microscope but behave very differently in development, disease, cancer, or immune ...
RNA-Seq Products & Services
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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