Evidence map›Paper›PMID 35229721›Full record

ArticleeLife2022

Robust and annotation-free analysis of alternative splicing across diverse cell types in mice.

Gonzalo Benegas, Jonathan Fischer, Yun S Song

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Gonzalo BenegasGraduate Group in Computational Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-6639-4394
Jonathan FischerDepartment of Biostatistics, University of Florida, Gainesville, United States.ORCID 0000-0002-1165-9930
Yun S SongComputer Science Division, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-0734-9868
Chan Zuckerberg Initiative (United States) · USUniversity of California, Berkeley · USUniversity of Florida · US

Funding

Robust and efficient statistical inference methods for genomicsR35GM134922 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SONG, YUN S · 2020 to 2024
$2.0M
NIGMS NIH HHS R35 GM134922
6 · The paper itself

Abstract

Although alternative splicing is a fundamental and pervasive aspect of gene expression in higher eukaryotes, it is often omitted from single-cell studies due to quantification challenges inherent to commonly used short-read sequencing technologies. Here, we undertake the analysis of alternative splicing across numerous diverse murine cell types from two large-scale single-cell datasets-the

Indexed as

Alternative SplicingRNA SplicingAnimalsComputational BiologyMiceRNA-Binding ProteinsRNA Splicing FactorsSoftwareRNA-Binding ProteinsRNA Splicing Factorsalternative splicingchromosomescomputational biologygene expressionmouseprimary motor cortex neuronssingle-cell RNA-seqsplicing factorssystems biologyTabula Muris

Identifiers

PMID35229721
PMCPMC8975553
OpenAlexW4220867642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.