#scRNAseq is an active hashtag on Bluesky. In the last 30 days, 5 people shared 7 posts with it — around 0 a day. Activity is down 50% versus the previous week, peaking on Jul 29 with 2 posts.
doi.org
ChromatinHD connects single-cell DNA accessibility and conformation to gene expression through scale-adaptive machine learning - Nature Communications
Functional chromatin changes occur at different scales. Here, the authors introduce ChromatinHD, a method that characterises differential and predictive chromatin accessibility changes in a scale-adap...
www.science.org
Single-nucleus transcriptomics resolves multiple fate dynamics between inflorescence meristem and primary stem
snRNA-seq reveals shoot stem cell heterogeneity and traces their differentiation into primary stem cell types.
www.nature.com
The dynamics of hematopoiesis over the human lifespan - Nature Methods
This Resource presents an atlas classifying the age-related changes in human hematopoietic stem and progenitor cells from gestation through aging.
www.nature.com
Transcript-specific enrichment enables profiling of rare cell states via single-cell RNA sequencing - Nature Genetics
Programmable Enrichment via RNA FlowFISH by sequencing (PERFF-seq) isolates rare cells based on RNA marker transcripts for single-cell RNA sequencing profiling of complex tissues, with applicability t...
pachterlab.github.io
gget bgee - gget
gget enables efficient querying of genomic reference databases
okt.to
Single-cell Long-read Bioinformatics: from Data Generation to Visualisation
Hands on training in long‑read single‑cell RNA‑seq, from experimental design to data interpretation
okt.to
Single-cell Long-read Bioinformatics: from Data Generation to Visualisation
Hands on training in long‑read single‑cell RNA‑seq, from experimental design to data interpretation
www.nature.com
Single cell multiomics unravel the transcription networks controlling the different EMT tumor states - Nature Communications
Epithelial-to-mesenchymal transition (EMT) involves cancer cells shifting between different states linked to tumor progression. Here, the authors use single-cell multiomics and CRISPR/Cas9-mediated lo...
doi.org
Transformers for single-cell RNA sequencing: a survey
Abstract. Transformers have demonstrated remarkable success in the field of deep learning, attracting significant attention from researchers and driving in
trinobia.com
Contact - Trinobia
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