Evidence map›Paper›PMID 26989152›Full record

ArticleDatabase : the journal of biological databases and curation2016

From one to many: expanding the Saccharomyces cerevisiae reference genome panel.

Stacia R Engel, Shuai Weng, Gail Binkley, Kelley Paskov, Giltae Song, J Michael Cherry

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Curated protein information in the Saccharomyces genome database.Database : the journal of biological databases and curation · 2017
    Article
  6. 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.

Stacia R EngelDepartment of Genetics, Stanford University, Stanford, CA, 94305 stacia@stanford.edu.
Shuai WengDepartment of Genetics, Stanford University, Stanford, CA, 94305.
Gail BinkleyDepartment of Genetics, Stanford University, Stanford, CA, 94305.
Kelley PaskovDepartment of Genetics, Stanford University, Stanford, CA, 94305.
Giltae SongDepartment of Genetics, Stanford University, Stanford, CA, 94305.
J Michael CherryDepartment of Genetics, Stanford University, Stanford, CA, 94305.

Funding

Genomic Resource for the Yeast SaccharomycesU41HG001315 · NHGRI · STANFORD UNIVERSITY · PI CHERRY, J. MICHAEL · 2011 to 2020
$26.4M
NHGRI NIH HHS U41 HG001315
6 · The paper itself

Abstract

In recent years, thousands of Saccharomyces cerevisiae genomes have been sequenced to varying degrees of completion. The Saccharomyces Genome Database (SGD) has long been the keeper of the original eukaryotic reference genome sequence, which was derived primarily from S. cerevisiae strain S288C. Because new technologies are pushing S. cerevisiae annotation past the limits of any system based exclusively on a single reference sequence, SGD is actively working to expand the original S. cerevisiae systematic reference sequence from a single genome to a multi-genome reference panel. We first commissioned the sequencing of additional genomes and their automated analysis using the AGAPE pipeline. Here we describe our curation strategy to produce manually reviewed high-quality genome annotations in order to elevate 11 of these additional genomes to Reference status. Database URL: http://www.yeastgenome.org/.

Indexed as

Genome, FungalAutomationBase SequenceDatabases, GeneticData MiningOpen Reading FramesReference StandardsSaccharomyces cerevisiae

Identifiers

PMID26989152
PMCPMC4795930

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.