Evidence map›Paper›PMID 30943207›Full record

ArticlePLoS computational biology2019

A quick guide for student-driven community genome annotation.

Prashant S Hosmani, Teresa Shippy, Sherry Miller, Joshua B Benoit, Monica Munoz-Torres, Mirella Flores-Gonzalez, Lukas A Mueller, Helen Wiersma-Koch, Tom D'Elia, Susan J Brown and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

19 citing papers in PubMed, 39 citations in OpenAlex.

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  11. Annotation ofGigaByte (Hong Kong, China) · 2021
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  17. Physiologists turned Geneticists: Identifying transcripts and genes for neuronal function in the Marbled Crayfish,Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2020
    Article
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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

11 authors at 5 institutions in 1 country.

Prashant S HosmaniBoyce Thompson Institute, Ithaca, New York.ORCID 0000-0001-5722-4118
Teresa ShippyDivision of Biology, Kansas State University, Manhattan, Kansas.
Sherry MillerDivision of Biology, Kansas State University, Manhattan, Kansas.
Joshua B BenoitDepartment of Biological Sciences, University of Cincinnati, Cincinnati, Ohio.ORCID 0000-0002-4018-3513
Monica Munoz-TorresLawrence Berkeley National Laboratory, Environmental Genomics and Systems Biology, Berkeley, California.ORCID 0000-0001-8430-6039
Mirella Flores-GonzalezBoyce Thompson Institute, Ithaca, New York.
Lukas A MuellerBoyce Thompson Institute, Ithaca, New York.
Helen Wiersma-KochIndian River State College, Fort Pierce, Florida.
Tom D'EliaIndian River State College, Fort Pierce, Florida.
Susan J BrownDivision of Biology, Kansas State University, Manhattan, Kansas.
Surya SahaBoyce Thompson Institute, Ithaca, New York.ORCID 0000-0002-1160-1413
Cornell University · USKansas State University · USIndian River State College · USOregon State University · USUniversity of Cincinnati · US

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
NIGMS NIH HHS P20 GM103418
6 · The paper itself

Abstract

High quality gene models are necessary to expand the molecular and genetic tools available for a target organism, but these are available for only a handful of model organisms that have undergone extensive curation and experimental validation over the course of many years. The majority of gene models present in biological databases today have been identified in draft genome assemblies using automated annotation pipelines that are frequently based on orthologs from distantly related model organisms and usually have minor or major errors. Manual curation is time consuming and often requires substantial expertise, but is instrumental in improving gene model structure and identification. Manual annotation may seem to be a daunting and cost-prohibitive task for small research communities but involving undergraduates in community genome annotation consortiums can be mutually beneficial for both education and improved genomic resources. We outline a workflow for efficient manual annotation driven by a team of primarily undergraduate annotators. This model can be scaled to large teams and includes quality control processes through incremental evaluation. Moreover, it gives students an opportunity to increase their understanding of genome biology and to participate in scientific research in collaboration with peers and senior researchers at multiple institutions.

Indexed as

Models, GeneticComputational BiologyDatabases, GeneticGenomicsGuidelines as TopicHumansMolecular Sequence AnnotationStudents

Identifiers

PMID30943207
PMCPMC6447164
OpenAlexW2801273205

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.