Evidence map›Paper›PMID 38579259›Full record

ArticleBioinformatics (Oxford, England)2024

A machine-readable specification for genomics assays.

Ali Sina Booeshaghi, Xi Chen, Lior Pachter

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Universal preprocessing of single-cell genomics data.bioRxiv : the preprint server for biology · 2023
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ali Sina BooeshaghiDepartment of Bioengineering, University of California, Berkeley, CA, 94720, United States.ORCID 0000-0002-6442-4502
Xi ChenDepartment of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China.ORCID 0000-0003-2648-3146
Lior PachterDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, United States.ORCID 0000-0002-9164-6231

Funding

Center for Mouse Genomic Variation at Single Cell ResolutionUM1HG012077 · NHGRI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Seyed Ali Mortazavi, BARBARA J WOLD · 2021 to 2026
$13.7M
NHGRI NIH HHS UM1 HG012077NIH HHS 5UM1HG012077-02
6 · The paper itself

Abstract

motivationUnderstanding the structure of sequenced fragments from genomics libraries is essential for accurate read preprocessing. Currently, different assays and sequencing technologies require custom scripts and programs that do not leverage the common structure of sequence elements present in genomics libraries.

resultsWe present seqspec, a machine-readable specification for libraries produced by genomics assays that facilitates standardization of preprocessing and enables tracking and comparison of genomics assays. AVAILABILITY AND IMPLEMENTATION: The specification and associated seqspec command line tool is available at https://www.doi.org/10.5281/zenodo.10213865.

Indexed as

GenomicsSoftware

Identifiers

PMID38579259
PMCPMC11009023

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Registered trials

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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.