Evidence map›Paper›PMID 39433877›Full record

ArticleNature methods2024

Constructing and personalizing population pangenome graphs.

Rayan Chikhi, Yoann Dufresne, Paul Medvedev

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Rayan ChikhiInstitut Pasteur, Université Paris Cité, Sequence Bioinformatics Unit, Paris, France. rayan.chikhi@pasteur.fr.ORCID http://orcid.org/0000-0003-1099-8735
Yoann DufresneInstitut Pasteur, Université Paris Cité, Sequence Bioinformatics Unit, Paris, France.ORCID http://orcid.org/0000-0002-0930-8920
Paul MedvedevThe Pennsylvania State University, State College, PA, USA.

Funding

Leveraging k-mer sketching statistics to enhance metagenomic methods and alignment algorithmsR01GM146462 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Antonio Blanca Pimentel, David Koslicki · 2022 to 2026
$2.2M
Agence Nationale de la Recherche (French National Research Agency) ANR-19-CE45-0008Agence Nationale de la Recherche (French National Research Agency) ANR-19-P3IA-0001Agence Nationale de la Recherche (French National Research Agency) ANR-21-CE46-0012-03Agence Nationale de la Recherche (French National Research Agency) ANR-22-CE45-0007European Commission (EC) 101047160European Commission (EC) 101088572European Commission (EC) 872539European Commission (EC) 956229National Science Foundation (NSF) DBI2138585NIGMS NIH HHS R01 GM146462U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM146462
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID39433877
PMCPMC11962983

What OpenQuestion holds

Textmetadata
LicenceTDM
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.