Evidence map›Paper›PMID 29506565›Full record

ArticleBMC research notes2018

TREE2FASTA: a flexible Perl script for batch extraction of FASTA sequences from exploratory phylogenetic trees.

Thomas Sauvage, Sophie Plouviez, William E Schmidt, Suzanne Fredericq

Abstract read
In one paragraph

Article in BMC research notes, 2018. 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
–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

6 citing papers in PubMed.

  1. Correlated Gene Copy Number Changes in a Seminal Fluid Protein Network inbioRxiv : the preprint server for biology · 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

4 authors.

Thomas SauvageDepartment of Biology, University of Louisiana at Lafayette, 410 E. Saint Mary Boulevard, Lafayette, LA, 70503, USA. tomsauv@gmail.com.ORCID http://orcid.org/0000-0002-9169-6925
Sophie PlouviezDepartment of Biology, University of Louisiana at Lafayette, 410 E. Saint Mary Boulevard, Lafayette, LA, 70503, USA.
William E SchmidtDepartment of Biology, University of Louisiana at Lafayette, 410 E. Saint Mary Boulevard, Lafayette, LA, 70503, USA.
Suzanne FredericqDepartment of Biology, University of Louisiana at Lafayette, 410 E. Saint Mary Boulevard, Lafayette, LA, 70503, USA.

Funding

NSF DEB 1455569
6 · The paper itself

Abstract

objectiveThe body of DNA sequence data lacking taxonomically informative sequence headers is rapidly growing in user and public databases (e.g. sequences lacking identification and contaminants). In the context of systematics studies, sorting such sequence data for taxonomic curation and/or molecular diversity characterization (e.g. crypticism) often requires the building of exploratory phylogenetic trees with reference taxa. The subsequent step of segregating DNA sequences of interest based on observed topological relationships can represent a challenging task, especially for large datasets.

resultsWe have written TREE2FASTA, a Perl script that enables and expedites the sorting of FASTA-formatted sequence data from exploratory phylogenetic trees. TREE2FASTA takes advantage of the interactive, rapid point-and-click color selection and/or annotations of tree leaves in the popular Java tree-viewer FigTree to segregate groups of FASTA sequences of interest to separate files. TREE2FASTA allows for both simple and nested segregation designs to facilitate the simultaneous preparation of multiple data sets that may overlap in sequence content.

Indexed as

BiodiversityDatabases, Nucleic AcidPhylogenySequence Analysis, DNASoftwareBarcodingBiodiversityCloneContaminantCrypticEnvironmentalFigTreeForensicMetabarcodingOTUPhylogenySystematics

Identifiers

PMID29506565
PMCPMC5838971

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.