Evidence map›Paper›PMID 24185697›Full record

ArticleNucleic acids research2014

The Candida Genome Database: the new homology information page highlights protein similarity and phylogeny.

Jonathan Binkley, Martha B Arnaud, Diane O Inglis, Marek S Skrzypek, Prachi Shah, Farrell Wymore, Gail Binkley, Stuart R Miyasato, Matt Simison, Gavin Sherlock

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 43 citations in OpenAlex.

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  8. First Genome Sequences of Two Multidrug-ResistantFrontiers in microbiology · 2020
    Article
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  12. Chemogenomic Profiling of the Fungal Pathogen Candida albicans.Antimicrobial agents and chemotherapy · 2018
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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

10 authors at 1 institution in 1 country.

Jonathan BinkleyDepartment of Genetics, Stanford University Medical School, Stanford, CA 94305-5120, USA.
Martha B Arnaud
Diane O Inglis
Marek S Skrzypek
Prachi Shah
Farrell Wymore
Gail Binkley
Stuart R Miyasato
Matt Simison
Gavin Sherlock
Stanford University · US

Funding

Genomic Database for Candida AlbicansR01DE015873 · NIDCR · STANFORD UNIVERSITY · PI Gavin J Sherlock · 2004 to 2026
$11.7M
NIDCR NIH HHS R01 DE015873
6 · The paper itself

Abstract

The Candida Genome Database (CGD, http://www.candidagenome.org/) is a freely available online resource that provides gene, protein and sequence information for multiple Candida species, along with web-based tools for accessing, analyzing and exploring these data. The goal of CGD is to facilitate and accelerate research into Candida pathogenesis and biology. The CGD Web site is organized around Locus pages, which display information collected about individual genes. Locus pages have multiple tabs for accessing different types of information; the default Summary tab provides an overview of the gene name, aliases, phenotype and Gene Ontology curation, whereas other tabs display more in-depth information, including protein product details for coding genes, notes on changes to the sequence or structure of the gene and a comprehensive reference list. Here, in this update to previous NAR Database articles featuring CGD, we describe a new tab that we have added to the Locus page, entitled the Homology Information tab, which displays phylogeny and gene similarity information for each locus.

Indexed as

Databases, GeneticGenome, FungalPhylogenyCandidaFungal ProteinsInternetSequence Homology, Amino AcidFungal Proteins

Identifiers

PMID24185697
PMCPMC3965001
OpenAlexW2052437148

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.