RNA-Seq Blog Transcriptome Research & Industry News
Transcriptome profiling is a mainstay of translational cancer research and is increasingly finding its way into precision oncology. While bulk RNA sequencing (RNA-seq) is widely available, high investment costs...
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RNA-SEQ NEWS
Metabolic RNA sequencing resolves the kinetics of maternal and zygotic gene expression during early zebrafish embryogenesis
The maternal-to-zygotic transition (MZT) is a key developmental process in metazoan embryos that involves the activation of zygotic transcription (ZGA) and degradation of maternal transcripts...
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GeneClust – a cofunctional grouping-based approach for non-redundant feature gene selection in unannotated single-cell RNA-seq analysis
Feature gene selection has significant impact on the performance of cell clustering in single-cell RNA sequencing (scRNA-seq) analysis. A well-rounded feature selection (FS) method should consider relevance, redundancy and complementarity of the features...
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Magnetic hydrogel particles improve nanopore sequencing of SARS-CoV-2 and other respiratory viruses
Researchers from Ceres Nanosciences present a magnetic hydrogel particle enabled workflow for capturing and concentrating SARS-CoV-2 from diagnostic remnant swab samples that significantly...
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FBI, SeqLL to study the forensic capabilities of direct RNA sequencing using the True Single Molecule Sequencing (tSMS®) platform
SeqLL Inc., a technology company providing life sciences instrumentation and research services, today announced the establishment of a two-year Cooperative Research and Development Agreement (CRADA) with the U.S. Department of ...
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Ribo-uORF – a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling
Upstream open reading frames (uORFs) are typically defined as translation sites located within the 5′ untranslated region upstream of the main protein coding sequence (CDS) of messenger RNAs (mRNAs)...
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DCoNA – a tool for fast differential correlation network analysis
One of the standard methods of high-throughput RNA sequencing analysis is differential expression. However, it does not detect changes in molecular regulation. In contrast to the standard differential...
Read More »Jobs
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Data Scientist for Bioinformatics and Computer Biology
Job Description: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field. Experience with ‘omics platform output. Experience with biological datasets and next generation sequencing ...
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Job available – Data Scientist for Bioinformatics and Computer Biology
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Featured RNA-Seq Job – Bioinformatician-Computational Biologist
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NERVSPAN PhD position at Single Cell Discoveries
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Featured RNA-Seq Job – Team Lead Spatial Transcriptomics
Industry News
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Data visualisation: past, present and future
Qlucore is a leading provider of new generation bioinformatics software for research, and precision and companion diagnostics. Founded in 2007 by scientists inspired to simplify the process of data analysis ...
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NVIGEN pioneers breakthrough in high-resolution tissue RNA sequencing with magnetic nanoparticle capture
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Advancements in genome sequencing propel global RNA sequencing market growth to 2030
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Fluent BioSciences awarded NIH SBIR grant to revolutionize single cell analysis
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Why are researchers going beyond mutations to study cancer?
