Evidence map›Paper›PMID 29904704›Full record

ArticleData in brief2018

Genome-scale DNA sequence data and the evolutionary history of placental mammals.

Shaoyuan Wu, Scott Edwards, Liang Liu

Abstract read
In one paragraph

Article in Data in brief, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

3 authors.

Shaoyuan WuJiangsu Key Laboratory of Phylogenomics & Comparative Genomics, School of Life Sciences, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China.
Scott EdwardsDepartment of Organismic & Evolutionary Biology, Museum of Comparative Zoology, Harvard University, Cambridge, MA 02138, USA.
Liang LiuDepartment of Statistics and Institute of Bioinformatics, University of Georgia, 310 Herty Drive, Athens, GA 30606, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a genomic data set comprised of the coding DNA sequences of 5162 loci from 90 vertebrate species, including 82 mammals. The loci were aligned with their protein sequences. The aligned protein sequences were then back translated into their original DNA sequences. The alignments were further filtered to remove individual sequences from each alignment exhibiting long branches or other unusual features. The data is deposited in figshare (http://figshare.com/articles/cds_5162.zip/6031190) and will be useful as a test data set for large-scale phylogenomic analysis.

Indexed as

AlignmentMammalPhylogenomics

Identifiers

PMID29904704
PMCPMC5998303

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.