Neuroblastoma Cell Profiling
Rare Cell Analysis
RNA Splicing Regulation
Illumina releases SpliceAI2 to help advance rare disease research
In a rare disease research dataset, SpliceAI2 identified 17% more disease-relevant variants compared to other splicing models Illumina's genomic AI models now collectively enable ...
Postdoctoral Fellow – Long-Read RNA Methods Development for Neurodegeneration
Organization - Translational Neurogenetics Unit, Center for Alzheimer’s Disease and Related Dementias (CARD), National Institute on Aging (NIA), NIH, Framingham, MA Scientific focus area ...
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
Inspired by bacterial biology, the Gladstone-developed “Detectron” opens up new possibilities for disease research and potentially treatments. Inside every cell, RNA acts as a ...
Cell2space restores spatial context to single-cell RNA sequencing data
Single-cell RNA sequencing can reveal which genes are active in individual cells, but the process of separating cells from tissue removes information about where those cells originally lived. That spatial information matters because cells behave differently depending on their ...
PacBio and TychoBio Collaborate to Train AI Models for Rare Disease
PacBio Kinnex sequencing will generate full-length transcript data to help advance TychoBio’s drug discovery models PacBio, developer of the world’s most advanced sequencing technologies, and TychoBio, an AI drug discovery company, today announced a collaboration to generate full-length RNA ...
Urine test may improve bladder cancer diagnosis and guide treatment decisions
Researchers developed a urine test that detects bladder cancer, predicts which patients will benefit from immunotherapy versus chemotherapy, and can confirm whether treatment worked. simple urine test devised by researchers at Stanford Medicine and the VA Palo Alto Health ...
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
RNA molecules are flexible structures that can fold into different shapes. These shapes matter because RNA structure can influence how molecules are processed, recognized by proteins and used inside cells. Researchers at Tsinghua University have developed DeCoRE, short for ...
Tracing 700 million years of cell evolution
A new AI tool helps identify hidden similarities across distant species. Why do traditional genetic tools struggle to compare distant species? Scientists often compare cells using single-cell RNA sequencing, which shows which genes are active in each cell. When ...
How should biological replicates be handled in long-read RNA sequencing?
Long-read RNA sequencing allows researchers to read much larger portions of RNA molecules than traditional short-read methods. This makes it especially useful for identifying transcript isoforms, different versions of RNA produced from the same gene. As long-read RNA sequencing ...
GP-DHT uses single-cell RNA sequencing to map gene regulatory networks
Genes rarely act alone. Instead, cells rely on networks of genes that turn one another on or off, helping determine how cells develop, respond to signals and change during disease. Researchers at the Jingdezhen Ceramic University developed GP-DHT, a ...
Boehringer taps Envisagenics’ AI to mine RNA splicing for cancer targets
Envisagenics’ AI-powered SpliceCore® platform opens up alternative RNA splicing – one of the last largely untapped sources of tumor-specific targets – for precision oncology Boehringer Ingelheim may apply selected targets across multiple modalities, including antibody-drug conjugates, T-cell engagers and ...
CellART extracts single-cell information from high-resolution spatial transcriptomics
Spatial transcriptomics allows researchers to measure gene activity while preserving information about where that activity occurs inside tissue. Newer technologies can reach very high spatial resolution, but they often face an important limitation, either they detect relatively few RNA ...
Cell2space restores spatial context to single-cell RNA sequencing data
Single-cell RNA sequencing can reveal which genes are active in individual cells, but the process of separating cells from tissue removes information about where those cells originally lived. That spatial information matters because cells behave differently depending on their ...
PacBio and TychoBio Collaborate to Train AI Models for Rare Disease
PacBio Kinnex sequencing will generate full-length transcript data to help advance TychoBio’s drug discovery models PacBio, developer of the world’s most advanced sequencing technologies, and TychoBio, an AI drug discovery company, today announced a collaboration to generate full-length RNA ...
Urine test may improve bladder cancer diagnosis and guide treatment decisions
Researchers developed a urine test that detects bladder cancer, predicts which patients will benefit from immunotherapy versus chemotherapy, and can confirm whether treatment worked. simple urine test devised by researchers at Stanford Medicine and the VA Palo Alto Health ...
RNA-Seq Products & Services
JOBS
Villanova biology professor awarded NIH grant to advance understanding of RNA decay
Chores are a normal part of everyday life, even for the tiniest organisms. Cells must take out the trash, too, and Villanova University Biology Professor Sarah Fritz, PhD, studies how they know what to throw away. Dr. Fritz has ...
INDUSTRY NEWS
Boehringer taps Envisagenics’ AI to mine RNA splicing for cancer targets
Envisagenics’ AI-powered SpliceCore® platform opens up alternative RNA splicing – one of the last largely untapped sources of tumor-specific targets – for precision oncology Boehringer Ingelheim may apply selected targets across multiple modalities, including antibody-drug conjugates, T-cell engagers and ...
EVENTS
Free scRNA-seq Data Analysis Workshop
This free course is a collaboration between ELIXIR Estonia and ELIXIR Czech Republic. Single-cell RNA sequencing (scRNA-seq) allows researchers to study gene expression at the level of individual cells. This approach can, for example, help to identify different cell populations in ...
RNA-SEQ Forum Feeds
- Bioinformatics Stackexchange
- SEQanswers - RNA Sequencing
This question was also asked on Biostars I’m currently running [...]
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Question about snRNA Seq cell type deconvolution Hi everyone, I [...]
as it’s my first time attempting downstream analysis for single [...]
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Why can I not download this plugin: Interference is a [...]
Im currently working with 150bp paired-end sequencing for metatranscriptomics and [...]
I'm pretty new to RNAseq diff. expression analysis etc., and [...]
I have some 3' RNA seq samples (human). I want [...]
does anyone have any recommendations for studying deep learning for [...]
I have a dataset which contains samples which have either [...]
Currently working on a bulk RNA-seq project with two non-model [...]
I am trying to download and prepare RNA-seq data from [...]
Below are the RNA-sequencing results for two different mouse samples [...]
We would like to use bulk RNA-seq for characterizing cell [...]
I performed RNAseq comparing two different populations of CD8+ T [...]
The problem can be solved by simply installing Java, though [...]
I’m aligning paired-end RNA-seq (~150 bp; 461,828 reads) with STAR [...]
I have RNA-seq expression data from in vitro drug-treated samples [...]
RNA-SEQ Data Analysis Tool Collections
Recent RNA-Seq Data Analysis Tools
GARAGE improves rare cell detection in single-cell RNA sequencing analysis using AI
Machine learning reveals how RNA splicing is regulated in individual cell types
GP-DHT uses single-cell RNA sequencing to map gene regulatory networks
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
Nanopore direct RNA sequencing reveals the challenges of detecting RNA modifications
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
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