Evidence map›Paper›PMID 38915671›Full record

ArticlebioRxiv : the preprint server for biology2024

Panacus: fast and exact pangenome growth and core size estimation.

Luca Parmigiani, Erik Garrison, Jens Stoye, Tobias Marschall, Daniel Doerr

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Luca ParmigianiFaculty of Technology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, 33615, Germany.ORCID 0000-0002-2139-3259
Erik GarrisonDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA.ORCID 0000-0003-3821-631X
Jens StoyeFaculty of Technology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, 33615, Germany.ORCID 0000-0002-4656-7155
Tobias MarschallInstitute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany.ORCID 0000-0002-9376-1030
Daniel DoerrDepartment for Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany.ORCID 0000-0002-3720-6227

Funding

Representing structural haplotypes and complex genetic variation in pan-genome graphsU01HG010973 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHAISSON, MARK, EICHLER, EVAN · 2020 to 2023
$1.3M
NHGRI NIH HHS U01 HG010973
6 · The paper itself

Abstract

Motivation: Using a single linear reference genome poses a limitation to exploring the full genomic diversity of a species. The release of a draft human pangenome underscores the increasing relevance of pangenomics to overcome these limitations. Pangenomes are commonly represented as graphs, which can represent billions of base pairs of sequence. Presently, there is a lack of scalable software able to perform key tasks on pangenomes, such as quantifying universally shared sequence across genomes (the Results: We introduce Panacus (pangenome-abacus), a tool designed to rapidly perform these tasks and visualize the results in interactive plots. Panacus can process GFA files, the accepted standard for pangenome graphs, and is able to analyze a human pangenome graph with 110 million nodes in less than one hour. Availability: Panacus is implemented in Rust and is published as Open Source software under the MIT license. The source code and documentation are available at https://github.com/marschall-lab/panacus. Panacus can be installed via Bioconda at https://bioconda.github.io/recipes/panacus/README.html.

Identifiers

PMID38915671
PMCPMC11195249

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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.