The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
BioMercator: integrating genetic maps and QTL towards discovery of candidate genes
Open accessAbstract
Summary: Breeding programs face the challenge of integrating information from genomics and from quantitative trait loci (QTL) analysis in order to identify genomic sequences controlling the variation of important traits. Despite the development of integrative databases, building a consensus map of genes, QTL and other loci gathered from multiple maps remains a manual and tedious task. Nevertheless, this is a critical step to reveal co-locations between genes and QTL. Another important matter is to determine whether QTL linked to same traits or related ones is detected in independent experiments and located in the same region, and represents a single locus or not. Statistical tools such as meta-analysis can be used to answer this question. BioMercator has been developed to automate map compilation and QTL meta-analysis, and to visualize co-locations between genes and QTL through a graphical interface. Availability: Available upon request (http://moulon/~bioinfo/BioMercator/). Free of charge for academic use.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Analysis of the genome sequence of the flowering plant Arabidopsis thaliana
Initiative, T. A. G. (2000) · Nature · doi:10.1038/35048692 · Cited by 9,301
Cited by
Rice Root Genetic Architecture: Meta-analysis from a Drought QTL Database
Courtois, B., Ahmadi, N., Khowaja, F., Price, A. H., Rami, J.-F., Frouin, J., Hamelin, C., & Ruiz, M. (2009) · Rice · doi:10.1007/s12284-009-9028-9 · Cited by 284
Advances in mechanisms of drought tolerance in crops, with emphasis on barley
Kebede, A., Kang, M. S., & Bekele, E. (2019) · Advances in Agronomy · doi:10.1016/bs.agron.2019.01.008 · Cited by 79
Metadata
- Authors
- Arcade, A., Labourdette, A., Falque, M., Mangin, B., Chardon, F., Charcosset, A., & Joets, J.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-04-01
- Volume
- 20
- Issue
- 14
- Pages
- 2324-2326
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2142178963
- Cited by
- 490
- References
- 1
- FWCI
- 4.21
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: BioMercator: integrating genetic maps and QTL towards discovery of candidate genes. https://app.cochat.ai/papers/10.1093/bioinformatics/bth230
- The paper
- Arcade, A., Labourdette, A., Falque, M., Mangin, B., Chardon, F., Charcosset, A., & Joets, J. (2004). BioMercator: integrating genetic maps and QTL towards discovery of candidate genes. Bioinformatics. https://doi.org/10.1093/bioinformatics/bth230
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
