Evidence map›Paper›PMID 41606128›Full record

ReviewNature protocols2026

Tutorial: annotation of animal genomes.

Zoe A Clarke, Dustin J Sokolowski, Ciaran K Byles-Ho, Ruth Isserlin, Michael D Wilson, Jared T Simpson, Gary D Bader

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 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

7 authors.

Zoe A Clarke *Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-0336-8049
Dustin J Sokolowski *Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-4057-3183
Ciaran K Byles-HoGenetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID http://orcid.org/0009-0002-0517-5478
Ruth IsserlinThe Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-6805-2080
Michael D WilsonDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-4015-3066
Jared T SimpsonDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Gary D BaderDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada. gary.bader@utoronto.ca.ORCID http://orcid.org/0000-0003-0185-8861

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology) PDF scholarshipCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology) RGPIN-2019-07014Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PJT 180542Ontario Genomics (OG) OGI-136 and OGI-201Ontario Genomics (OG) The Ontario Genomics-CANSSI Postdoctoral Fellowship in Genome Data ScienceU.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) NHGRI560 project 5R01HG009190
6 · The paper itself

Abstract

As DNA sequencing technologies improve, it is becoming easier to sequence and assemble new genomes from non-model organisms. However, before a newly assembled genome sequence can be used as a reference, it must be annotated with genes and other features. This can be conducted by individual laboratories using publicly available software. Modern genome annotations integrate gene predictions from the assembled DNA sequence with gene homology information from other high-quality reference genomes and take into account functional evidence (e.g., protein sequences and RNA sequencing information). Many genome annotation pipelines exist but have varying accuracies, resource requirements and ease of use. This genome annotation Tutorial describes a streamlined genome annotation pipeline that can create high-quality genome annotations for animals in the laboratory. Our workflow integrates existing state-of-the-art genome annotation tools capable of annotating protein-coding and non-coding RNA genes. This Tutorial also guides the user on assigning gene symbols and annotating repeat regions. Finally, we describe additional tools to assess annotation quality and combine and format the results.

Indexed as

GenomeGenomicsMolecular Sequence AnnotationAnimalsSequence Analysis, DNASoftware

Identifiers

What OpenQuestion holds

Textmetadata
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.