ArticleBioinformatics (Oxford, England)2022
Variomes: a high recall search engine to support the curation of genomic variants.
Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- FAIR in practice: minimum metadata schema for bioinformatics analytics by machines.Journal of biomedical semantics · 2026Article
- Enhancing the SIB Literature Services (SIBiLS) with annotations to support biocuration.Database : the journal of biological databases and curation · 2026Article
- CardioHotspots: a database of mutational hotspots for cardiac disorders.Database : the journal of biological databases and curation · 2024Article
- VarChat: the generative AI assistant for the interpretation of human genomic variations.Bioinformatics (Oxford, England) · 2024Article
- Ensemble of deep learning language models to support the creation of living systematic reviews for the COVID-19 literature.Systematic reviews · 2023Article
- Assessing the use of supplementary materials to improve genomic variant discovery.Database : the journal of biological databases and curation · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationIdentification and interpretation of clinically actionable variants is a critical bottleneck. Searching for evidence in the literature is mandatory according to ASCO/AMP/CAP practice guidelines; however, it is both labor-intensive and error-prone. We developed a system to perform triage of publications relevant to support an evidence-based decision. The system is also able to prioritize variants. Our system searches within pre-annotated collections such as MEDLINE and PubMed Central.
resultsWe assess the search effectiveness of the system using three different experimental settings: literature triage; variant prioritization and comparison of Variomes with LitVar. Almost two-thirds of the publications returned in the top-5 are relevant for clinical decision-support. Our approach enabled identifying 81.8% of clinically actionable variants in the top-3. Variomes retrieves on average +21.3% more articles than LitVar and returns the same number of results or more results than LitVar for 90% of the queries when tested on a set of 803 queries; thus, establishing a new baseline for searching the literature about variants. AVAILABILITY AND IMPLEMENTATION: Variomes is publicly available at https://candy.hesge.ch/Variomes. Source code is freely available at https://github.com/variomes/sibtm-variomes. SynVar is publicly available at https://goldorak.hesge.ch/synvar. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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