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Omics · study · 2026

Hypatia: a statistical framework for single-cell RNA isoform data analysis

Listed in NCBI GEO

Cells express distinct splicing isoforms in normal physiology and disease.

Description

Long-read single-cell RNA-sequencing (LR-scRNAseq) enables isoform quantification at single-cell resolution. However, methods to assess isoform complexity between cell populations are lacking.

To address this, we present Hypatia, a toolkit for analyzing isoform usage shifts, diversity, and expression. Using simulated data, we establish a framework for comparative analysis. Using three LR-scRNAseq data sets, we identify widespread transcript-level heterogeneities across cells.

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Life Sciences
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE31097414 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:group:3102enrichment · NCBI GEOtaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title