Evidence map›Paper›PMID 42640573›Full record

ArticleFEMS yeast research2026

The Saccharomyces Genome Database-a history of ideas and accomplishments, 1994-2026.

J Michael Cherry, Gavin Sherlock, Stacia R Engel

Abstract readHistorical Article
In one paragraph

Article in FEMS yeast research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

J Michael CherryDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-9163-5180
Gavin SherlockDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-1692-4983
Stacia R EngelDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5472-917X

Funding

Text mining in the CloudU24HG010859 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAROL J BULT, PAUL Warren STERNBERG · 2019 to 2026
$42.0M
Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
Genomic Resource for the Yeast SaccharomycesU24HG001315 · NHGRI · STANFORD UNIVERSITY · PI Stacia Engel, Gavin J Sherlock · 2021 to 2026
$10.9M
NHGRI NIH HHS U24 HG001315NHGRI NIH HHS U24 HG010859NHGRI NIH HHS U41 HG002273NIH HHS U24HG001315NIH HHS U24HG010859NIH HHS U41HG002273
6 · The paper itself

Abstract

The Saccharomyces Genome Database (SGD) is one of the longest-running and most consequential biological databases in the world. Founded in the early 1990s at Stanford University under the visionary leadership of David Botstein and developed under the long-term technical direction of J. Michael Cherry, SGD has served for more than three decades not only as the authoritative knowledge center for the budding yeast Saccharomyces cerevisiae, but also as the source for much of the fundamentals of eukaryotic biology. This history traces the arc of a remarkable intellectual and scientific project: beginning with the challenge of building the very first integrated eukaryotic genome database and evolving across 30 years into a global knowledge hub for genetics, functional genomics, and human disease research. The history is organized chronologically, with each section highlighting the central ideas, technical developments, and concrete accomplishments of that period.

Indexed as

Databases, GeneticGenome, FungalSaccharomyces cerevisiaeGenomicsHistory, 20th CenturyHistory, 21st Centuryeukaryotic biologyfunctional genomicsgeneticshistorySaccharomyces Genome Database

Identifiers

PMID42640573
PMCPMC13560583

What OpenQuestion holds

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Registered trials

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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.