Evidence map›Paper›PMID 34313983›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Automated Phylogenetic Analysis Using Best Reciprocal BLAST.

Erin R Butterfield, James C Abbott, Mark C Field

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Erin R ButterfieldWellcome Centre for Anti-infectives Research, School of Life Sciences, University of Dundee, Dundee, UK. ebutterfield@dundee.ac.uk.
James C AbbottData Analysis Group, Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, UK.
Mark C FieldWellcome Centre for Anti-infectives Research, School of Life Sciences, University of Dundee, Dundee, UK.

Funding

Wellcome Trust 203134/Z/16/Z
6 · The paper itself

Abstract

Reconstruction of the evolutionary history of specific protein-coding genes is an essential component of the biological sciences toolkit and relies on identification of orthologs (a gene in different organisms related by vertical descent from a common ancestor and usually presumed to have the same or similar function) and paralogs (a gene related to another in the same organism by descent from a single ancestral gene which may, or may not, retain the same/similar function) across a range of taxa. While obviously essential for the reconstruction of evolutionary histories, ortholog identification is of importance for protein expression, modeling for drug discovery programs, identification of critical residues and other studies. Here we describe an automated system for searching for orthologs and paralogs in eukaryotic organisms. Unlike manual methods the system is fast, requiring minimal user input while still being highly configurable.

Indexed as

PhylogenyEvolution, MolecularAutomationDrug discoveryEvolutionHomologyOrthologPhylogeneticsSequence searching

Identifiers

What OpenQuestion holds

Textmetadata
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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.