scnanoseq: an nf-core pipeline for Oxford Nanopore single-cell RNA-sequencing

The source code, and detailed documentation are freely available at https://github.com/nf-core/scnanoseq and https://nf-co.re/scnanoseq under the MIT License. Documentation for the version of nf-core/scnanoseq used for this paper, including default parameters and descriptions of output files are available at https://nf-co.re/scnanoseq/1.1.0.

Authors

Institutions

Publication Details

Journal
Bioinformatics
Published
2025-09-01
DOI
https://doi.org/10.1093/bioinformatics/btaf487
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

scnanoseq: an nf-core pipeline for Oxford Nanopore single-cell RNA-sequencing

Elizabeth A. Worthey, Lara Ianov, Austyn Trull
1 citations
Bioinformatics
Single-cell and spatial transcriptomics
0.81
article

scnanoseq: an nf-core pipeline for Oxford Nanopore single-cell RNA-sequencing

Elizabeth A. Worthey, Lara Ianov, Austyn Trull
article en
1 citations

Abstract

The source code, and detailed documentation are freely available at https://github.com/nf-core/scnanoseq and https://nf-co.re/scnanoseq under the MIT License. Documentation for the version of nf-core/scnanoseq used for this paper, including default parameters and descriptions of output files are available at https://nf-co.re/scnanoseq/1.1.0.

BioinformaticsVol. 41(9)
University of Alabama at Birmingham (US)
National Science Foundation, Civitan International
Openalex Percentile: Top 24%
Single-cell and spatial transcriptomics
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.