Evidence map›Paper›PMID 36864925›Full record

ArticleWellcome open research2023

Genomes on a Tree (GoaT): A versatile, scalable search engine for genomic and sequencing project metadata across the eukaryotic tree of life.

Richard Challis, Sujai Kumar, Cibele Sotero-Caio, Max Brown, Mark Blaxter

Abstract read
In one paragraph

Article in Wellcome open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 380 papers.

0numbers the graph read from it
0cells of the map it votes in
380citing 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

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3 · Its place in the literature

Who cites it

380 citing papers in PubMed.

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320 more citing papers are in PubMed but not listed here.

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

5 authors.

Richard ChallisTree of Life, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK.ORCID https://orcid.org/0000-0002-3502-1122
Sujai KumarTree of Life, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK.
Cibele Sotero-CaioTree of Life, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK.
Max BrownTree of Life, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK.
Mark BlaxterTree of Life, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

As genomic data transform our understanding of biodiversity, the Earth BioGenome Project (EBP) has set a goal of generating reference quality genome assemblies for all ~1.9 million described eukaryotic taxa. Meeting this goal requires coordination among many individual regional and taxon-focussed projects working under the EBP umbrella. Large-scale sequencing projects require ready access to validated genome-relevant metadata, such as genome sizes and karyotypes, but these data are dispersed across the literature, and directly measured values are lacking for most taxa. To meet these needs, we have developed Genomes on a Tree (GoaT), an Elasticsearch-powered datastore and search index for genome-relevant metadata and sequencing project plans and statuses. GoaT indexes publicly available metadata for all eukaryotic species and interpolates missing values through phylogenetic comparison. GoaT also holds target priority and sequencing status information for many projects affiliated to the EBP to aid project coordination. Metadata and status attributes in GoaT can be queried through a mature API, a web front end, and a command line interface. The web front end additionally provides summary visualisations for data exploration and reporting (see https://goat.genomehubs.org). GoaT currently holds direct or estimated values for over 70 taxon attributes and over 30 assembly attributes across 1.5 million eukaryotic species. The depth and breadth of curated data, frequent updates, and a versatile query interface make GoaT a powerful data aggregator and portal to explore and report underlying data for the eukaryotic tree of life. We illustrate this utility through a series of use cases from planning through to completion of a genome-sequencing project.

Indexed as

Genomics; Earth BioGenome Project; Tree of Life; Databasing; Elasticsearch

Identifiers

PMID36864925
PMCPMC9971660

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.