Evidence map›Paper›PMID 34048573›Full record

ArticleMolecular biology and evolution2021

AniProtDB: A Collection of Consistently Generated Metazoan Proteomes for Comparative Genomics Studies.

Sofia N Barreira, Anh-Dao Nguyen, Mark T Fredriksen, Tyra G Wolfsberg, R Travis Moreland, Andreas D Baxevanis

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolution is not Uniform Along Coding Sequences.Molecular biology and evolution · 2023
    Article
  4. 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

6 authors.

Sofia N BarreiraComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Anh-Dao NguyenComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Mark T FredriksenComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Tyra G WolfsbergComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
R Travis MorelandComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Andreas D BaxevanisComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-5370-0014

Funding

Phylogenomic Studies on the Evolution of Morphological ComplexityZIAHG000140 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BAXEVANIS, ANDREAS · 2009 to 2025
$11.4M
Intramural NIH HHS ZIA HG000140
6 · The paper itself

Abstract

To address the void in the availability of high-quality proteomic data traversing the animal tree, we have implemented a pipeline for generating de novo assemblies based on publicly available data from the NCBI Sequence Read Archive, yielding a comprehensive collection of proteomes from 100 species spanning 21 animal phyla. We have also created the Animal Proteome Database (AniProtDB), a resource providing open access to this collection of high-quality metazoan proteomes, along with information on predicted proteins and protein domains for each taxonomic classification and the ability to perform sequence similarity searches against all proteomes generated using this pipeline. This solution vastly increases the utility of these data by removing the barrier to access for research groups who do not have the expertise or resources to generate these data themselves and enables the use of data from nontraditional research organisms that have the potential to address key questions in biomedicine.

Indexed as

ProteomeProteomicsAnimalsDatabases, FactualGenomicsSequence AnalysisProteomecomparative genomicsgenome analysisproteomessequence databases

Identifiers

PMID34048573
PMCPMC8476134

What OpenQuestion holds

Textmetadata
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.