Evidence map›Paper›PMID 26109357›Full record

ArticleG3 (Bethesda, Md.)2015

Gene Model Annotations for Drosophila melanogaster: Impact of High-Throughput Data.

Beverley B Matthews, Gilberto Dos Santos, Madeline A Crosby, David B Emmert, Susan E St Pierre, L Sian Gramates, Pinglei Zhou, Andrew J Schroeder, Kathleen Falls, Victor Strelets and 3 more

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

35 citing papers in PubMed, 84 citations in OpenAlex.

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  18. Manual annotation ofF1000Research · 2022
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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

13 authors at 2 institutions in 1 country.

Beverley B MatthewsDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138 bmatthew@morgan.harvard.edu.
Gilberto Dos SantosDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
Madeline A CrosbyDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
David B EmmertDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
Susan E St PierreDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
L Sian GramatesDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
Pinglei ZhouDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
Andrew J SchroederDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
Kathleen FallsDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
Victor StreletsDepartment of Biology, Indiana University, Bloomington, Indiana 47405.
Susan M RussoDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
William M GelbartDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts 02138.
FlyBase Consortium
Harvard University · USIndiana University Bloomington · US

Funding

FLYBASE: A DROSOPHILA RELATIONAL DATABASEP41HG000739 · NHGRI · HARVARD UNIVERSITY · PI GELBART, WILLIAM MARTIN · 1992 to 2014
$56.6M
Resource Project CoreU41HG000739 · NHGRI · HARVARD UNIVERSITY · PI PERRIMON, NORBERT · 2014 to 2022
$32.3M
Medical Research Council (G1000968Medical Research Council G1000968NHGRI NIH HHS P41 HG000739NHGRI NIH HHS U41 HG000739NHGRI NIH HHS U41 HG00739
6 · The paper itself

Abstract

We report the current status of the FlyBase annotated gene set for Drosophila melanogaster and highlight improvements based on high-throughput data. The FlyBase annotated gene set consists entirely of manually annotated gene models, with the exception of some classes of small non-coding RNAs. All gene models have been reviewed using evidence from high-throughput datasets, primarily from the modENCODE project. These datasets include RNA-Seq coverage data, RNA-Seq junction data, transcription start site profiles, and translation stop-codon read-through predictions. New annotation guidelines were developed to take into account the use of the high-throughput data. We describe how this flood of new data was incorporated into thousands of new and revised annotations. FlyBase has adopted a philosophy of excluding low-confidence and low-frequency data from gene model annotations; we also do not attempt to represent all possible permutations for complex and modularly organized genes. This has allowed us to produce a high-confidence, manageable gene annotation dataset that is available at FlyBase (http://flybase.org). Interesting aspects of new annotations include new genes (coding, non-coding, and antisense), many genes with alternative transcripts with very long 3' UTRs (up to 15-18 kb), and a stunning mismatch in the number of male-specific genes (approximately 13% of all annotated gene models) vs. female-specific genes (less than 1%). The number of identified pseudogenes and mutations in the sequenced strain also increased significantly. We discuss remaining challenges, for instance, identification of functional small polypeptides and detection of alternative translation starts.

Indexed as

Molecular Sequence Annotation3' Untranslated RegionsAnimalsDatabases, GeneticDrosophila melanogasterExonsFemaleMaleModels, GeneticRNA, Small UntranslatedSequence Analysis, RNATranscription Initiation SiteTranscriptome3' Untranslated RegionsRNA, Small Untranslatedalternative spliceexon junctionlncRNAtranscription start sitetranscriptome

Identifiers

PMID26109357
PMCPMC4528329
OpenAlexW2143499806

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.