Tabula Muris: Transcriptomic characterization of 20 organs and tissues from Mus musculus at single cell resolution
We have created a resource of single cell transcriptome data from the model organism Mus musculus. Contributor: The Tabula Muris Consortium The full list of contributors to this dataset can be found in the corresponding publication.
Provenance — who produced it, who reused it
Linked to 32 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Spatiotemporal immune zonation of the human kidney 2019 · 455 cites
- Large-scale integration of single-cell transcriptomic data captu... 2021 · 219 cites
- Identifying transposable element expression dynamics and heterog... 2021 · 206 cites
- Reconstruction of cell spatial organization from single-cell RNA... 2020 · 158 cites
- Distinct longevity mechanisms across and within species and thei... 2023 · 149 cites
- SERGIO: A Single-Cell Expression Simulator Guided by Gene Regula... 2020 · 131 cites
- Benchmarking UMI-based single-cell RNA-seq preprocessing workflo... 2021 · 74 cites
24 further papers cite this accession but reuse could not be confirmed.
Deep data QC
91/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Mouse RNA-seq with measured quality metrics (98.6% Q20, mean read length 100 bp, mean base quality 36.5) but unavailable instrument and technique metadata due to HTTP retrieval error. Limited platform details constrain full assessment; contact the repository for complete protocol information before reuse.
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0