Evidence map›Paper›PMID 35171243›Full record

ArticleGenome biology and evolution2022

Champagne: Automated Whole-Genome Phylogenomic Character Matrix Method Using Large Genomic Indels for Homoplasy-Free Inference.

James K Schull, Yatish Turakhia, James A Hemker, William J Dally, Gill Bejerano

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Accurate, scalable, and fully automated inference of species trees from raw genome assemblies using ROADIES.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

5 authors at 3 institutions in 1 country.

James K SchullDepartment of Computer Science, Stanford University, USA.
Yatish TurakhiaDepartment of Electrical and Computer Engineering, University of California San Diego, USA.
James A HemkerDepartment of Computer Science, Stanford University, USA.
William J DallyDepartment of Computer Science, Stanford University, USA.
Gill BejeranoDepartment of Computer Science, Stanford University, USA.ORCID 0000-0001-5179-3635
Stanford University · USNvidia (United States) · USUniversity of California San Diego · US

Funding

The 200 mammals project: sequencing genomes by a novel cost-effective method, yielding a high resolution annotation of the human genome.R01HG008742 · NHGRI · BROAD INSTITUTE, INC. · PI BIRREN, BRUCE W., KARLSSON, ELINOR · 2016 to 2020
$2.8M
NHGRI NIH HHS R01 HG008742
6 · The paper itself

Abstract

We present Champagne, a whole-genome method for generating character matrices for phylogenomic analysis using large genomic indel events. By rigorously picking orthologous genes and locating large insertion and deletion events, Champagne delivers a character matrix that considerably reduces homoplasy compared with morphological and nucleotide-based matrices, on both established phylogenies and difficult-to-resolve nodes in the mammalian tree. Champagne provides ample evidence in the form of genomic structural variation to support incomplete lineage sorting and possible introgression in Paenungulata and human-chimp-gorilla which were previously inferred primarily through matrices composed of aligned single-nucleotide characters. Champagne also offers further evidence for Myomorpha as sister to Sciuridae and Hystricomorpha in the rodent tree. Champagne harbors distinct theoretical advantages as an automated method that produces nearly homoplasy-free character matrices on the whole-genome scale.

Indexed as

GenomeGenomicsAnimalsINDEL MutationMammalsNucleotidesPhylogenyNucleotideshomoplasy-free charactersincomplete lineage sortingphylogeneticsphylogenomicsrare genomic changes

Identifiers

PMID35171243
PMCPMC8920512
OpenAlexW4211125756

What OpenQuestion holds

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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.