The DOI matches its Crossref record.
GeneMerge—post-genomic analysis, data mining, and hypothesis testing
Abstract
Summary: GeneMerge is a web-based and standalone program written in PERL that returns a range of functional and genomic data for a given set of study genes and provides statistical rank scores for over-representation of particular functions or categories in the data set. Functional or categorical data of all kinds can be analyzed with GeneMerge, facilitating regulatory and metabolic pathway analysis, tests of population genetic hypotheses, cross-experiment comparisons, and tests of chromosomal clustering, among others. GeneMerge can perform analyses on a wide variety of genomic data quickly and easily and facilitates both data mining and hypothesis testing. Availability: GeneMerge is available free of charge for academic use over the web and for download from: http://www.oeb.harvard.edu/hartl/lab/publications/GeneMerge.html. Contact: ccastillo-davis@oeb.harvard.edu Supplementary information: http://www.oeb.harvard.edu/hartl/lab/publications/GeneMerge.html * To whom correspondence should be addressed.
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
Cited by
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
Boyle, E. I., Weng, S., Gollub, J., Jin, H., Botstein, D., Cherry, J. M., & Sherlock, G. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth456 · Cited by 2,067
Gupta, S., Ellis, S. E., Ashar, F. N., Moes, A., Bader, J. S., Zhan, J., West, A. B., & Arking, D. E. (2014) · Nature Communications · doi:10.1038/ncomms6748 · Cited by 504
The Requirement for Cyclin D Function in Tumor Maintenance
Choi, Y. J., Li, X., Hydbring, P., Sanda, T., Stefano, J., Christie, A. L., Signoretti, S., Look, A. T., Kung, A. L., von Boehmer, H., et al. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.09.015 · Cited by 342
Extensive In Vivo Metabolite-Protein Interactions Revealed by Large-Scale Systematic Analyses
Li, X., Gianoulis, T. A., Yip, K. Y., Gerstein, M., & Snyder, M. (2010) · Cell · doi:10.1016/j.cell.2010.09.048 · Cited by 237
Metadata
- Authors
- Castillo-Davis, C. I., & Hartl, D. L.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-05-01
- Volume
- 19
- Issue
- 7
- Pages
- 891-892
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2107268689
- Cited by
- 300
- References
- 0
- FWCI
- 5.79
- Type
- journal article
- Language
- en
- Open access
- closed
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: GeneMerge—post-genomic analysis, data mining, and hypothesis testing. https://app.cochat.ai/papers/10.1093/bioinformatics/btg114
- The paper
- Castillo-Davis, C. I., & Hartl, D. L. (2003). GeneMerge—post-genomic analysis, data mining, and hypothesis testing. Bioinformatics. https://doi.org/10.1093/bioinformatics/btg114
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.