Evidence map›Paper›PMID 42662855›Full record

ArticleBioinformatics advances2026

EHItk: a toolkit for accessing Earth Hologenome Initiative data resources.

Antton Alberdi, Garazi Martin-Bideguren, Jonas Lauritsen, Nanna Gaun, Elsa Brenner, Lucas Padilha, Amalia Bogri, Ostaizka Aizpurua

Abstract read
In one paragraph

Article in Bioinformatics advances, 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

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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

8 authors.

Antton AlberdiCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark.ORCID https://orcid.org/0000-0002-2875-6446
Garazi Martin-BidegurenCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark.
Jonas LauritsenCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark.
Nanna GaunCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark.
Elsa BrennerCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark.
Lucas PadilhaCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark.
Amalia BogriCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark.
Ostaizka AizpuruaCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, 1350, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: The Earth Hologenome Initiative (EHI) is generating standardized datasets that jointly capture host genomic and microbial metagenomic-namely hologenomic-information across wild vertebrates. These resources include thousands of shotgun hologenomic datasets and metagenome-assembled genomes (MAGs), accompanied by extensive metadata describing host biology, sampling context, and sequencing procedures. Although these datasets are made publicly available, efficient access to them remains challenging due to the distribution of data across multiple repositories and the complexity of the associated metadata. Results: We present EHItk, a lightweight Python package and command-line toolkit that enables programmatic discovery and retrieval of EHI datasets and their metadata. EHItk allows users to query hologenomes and MAGs using biologically meaningful metadata filters. The software translates these filters into SQL queries against a local database and supports downloading matched raw FASTQ reads and genome FASTA files. By simplifying metadata-driven dataset discovery and retrieval, EHItk facilitates the integration of EHI resources into bioinformatic pipelines and enables large-scale comparative analyses across hosts and microbial genomes. Availability and implementation: EHItk supports Python 3.10 and later. It is distributed as open-source software under the GNU General Public License v3 and is available from PyPI, Bioconda and GitHub: https://github.com/earthhologenome/ehitk.

Identifiers

PMID42662855
PMCPMC13520934

What OpenQuestion holds

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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.