Evidence map›Paper›PMID 38025697›Full record

ArticlePeerJ2023

Seq2science: an end-to-end workflow for functional genomics analysis.

Maarten van der Sande, Siebren Frölich, Tilman Schäfers, Jos G A Smits, Rebecca R Snabel, Sybren Rinzema, Simon J van Heeringen

Abstract read
In one paragraph

Article in PeerJ, 2023. 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
–field-weighted citation impact
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.

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  8. Galectin-9 binding to HLA-DR in dendritic cells controls immune synapse formation and T cell proliferation.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

7 authors.

Maarten van der Sande *Molecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands.ORCID 0000-0001-7803-1526
Siebren Frölich *Molecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands.ORCID 0000-0001-6925-8446
Tilman SchäfersMolecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands.
Jos G A SmitsMolecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands.ORCID 0000-0001-5858-3905
Rebecca R SnabelMolecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands.ORCID 0000-0001-8053-1191
Sybren RinzemaMolecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands.
Simon J van HeeringenMolecular Developmental Biology, Radboud University Nijmegen, Nijmegen, the Netherlands.ORCID 0000-0002-0411-3219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing databases contain enormous amounts of functional genomics data, making them an extensive resource for genome-scale analysis. Reanalyzing publicly available data, and integrating it with new, project-specific data sets, can be invaluable. With current technologies, genomic experiments have become feasible for virtually any species of interest. However, using and integrating this data comes with its challenges, such as standardized and reproducible analysis. Seq2science is a multi-purpose workflow that covers preprocessing, quality control, visualization, and analysis of functional genomics sequencing data. It facilitates the downloading of sequencing data from all major databases, including NCBI SRA, EBI ENA, DDBJ, GSA, and ENCODE. Furthermore, it automates the retrieval of any genome assembly available from Ensembl, NCBI, and UCSC. It has been tested on a variety of species, and includes diverse workflows such as ATAC-, RNA-, and ChIP-seq. It consists of both generic as well as advanced steps, such as differential gene expression or peak accessibility analysis and differential motif analysis. Seq2science is built on the Snakemake workflow language and thus can be run on a range of computing infrastructures. It is available at https://github.com/vanheeringen-lab/seq2science.

Indexed as

High-Throughput Nucleotide SequencingSoftwareChromatin Immunoprecipitation SequencingGenomicsWorkflowATAC-seqChIP-seqNGSRNA-seqWorkflow

Identifiers

PMID38025697
PMCPMC10656911

What OpenQuestion holds

Textmetadata
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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.