Evidence map›Paper›PMID 38265166›Full record

ArticleCurrent protocols2024

Create, Analyze, and Visualize Phylogenomic Datasets Using PhyloFisher.

Robert E Jones, Alexander K Tice, Marek Eliáš, Laura Eme, Martin Kolísko, Serafim Nenarokov, Tomáš Pánek, Antonis Rokas, Eric Salomaki, Jürgen F H Strassert and 3 more

Abstract read
In one paragraph

Article in Current protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Amoebozoan testate amoebae illuminate the diversity of heterotrophs and the complexity of ecosystems throughout geological time.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. 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

13 authors.

Robert E JonesDepartment of Biological Sciences, Mississippi State University, Starkville, Mississippi, USA.ORCID https://orcid.org/0000-0001-5227-4773
Alexander K TiceDepartment of Biological Sciences, Mississippi State University, Starkville, Mississippi, USA.ORCID https://orcid.org/0000-0002-3128-1867
Marek EliášDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.ORCID https://orcid.org/0000-0003-0066-6542
Laura EmeUnité d'Ecologie, Systématique et Evolution, CNRS, Université Paris-Saclay France, Orsay, France.ORCID https://orcid.org/0000-0002-0510-8868
Martin KolískoInstitute of Parasitology, Biology Centre Czech Academy of Sciences, České Budějovice Czech Republic, USA.ORCID https://orcid.org/0000-0003-0600-1867
Serafim NenarokovInstitute of Parasitology, Biology Centre Czech Academy of Sciences, České Budějovice Czech Republic, USA.
Tomáš PánekDepartment of Zoology, Faculty of Science, Charles University, Prague, Czech Republic.ORCID https://orcid.org/0000-0002-1738-8430
Antonis RokasDepartment of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-7248-6551
Eric SalomakiInstitute of Parasitology, Biology Centre Czech Academy of Sciences, České Budějovice Czech Republic, USA.ORCID https://orcid.org/0000-0001-6924-0844
Jürgen F H StrassertDepartment of Evolutionary and Integrative Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany.ORCID https://orcid.org/0000-0001-6786-7563
Xing-Xing ShenInstitute of Insect Sciences, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0001-5765-1419
David ŽihalaDepartment of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.ORCID https://orcid.org/0000-0003-4585-0773
Matthew W BrownDepartment of Biological Sciences, Mississippi State University, Starkville, Mississippi, USA.ORCID https://orcid.org/0000-0002-1254-0608

Funding

Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR01AI153356 · NIAID · VANDERBILT UNIVERSITY · PI Antonis Rokas · 2022 to 2026
$3.5M
NIAID NIH HHS R01 AI153356
6 · The paper itself

Abstract

PhyloFisher is a software package written primarily in Python3 that can be used for the creation, analysis, and visualization of phylogenomic datasets that consist of protein sequences from eukaryotic organisms. Unlike many existing phylogenomic pipelines, PhyloFisher comes with a manually curated database of 240 protein-coding genes, a subset of a previous phylogenetic dataset sampled from 304 eukaryotic taxa. The software package can also utilize a user-created database of eukaryotic proteins, which may be more appropriate for shallow evolutionary questions. PhyloFisher is also equipped with a set of utilities to aid in running routine analyses, such as the prediction of alternative genetic codes, removal of genes and/or taxa based on occupancy/completeness of the dataset, testing for amino acid compositional heterogeneity among sequences, removal of heterotachious and/or fast-evolving sites, removal of fast-evolving taxa, supermatrix creation from randomly resampled genes, and supermatrix creation from nucleotide sequences. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Constructing a phylogenomic dataset Basic Protocol 2: Performing phylogenomic analyses Support Protocol 1: Installing PhyloFisher Support Protocol 2: Creating a custom phylogenomic database.

Indexed as

Amino AcidsBiological EvolutionAmino Acid SequenceCulturePhylogenyAmino Acidsevolutiongenomicssystematicstranscriptomics

Identifiers

PMID38265166
PMCPMC11491051

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.