Edward Gertz, Tero Hiekkalinna, Sébastien Le Digabel, Charles Audet, Joseph D Terwilliger et Alejandro A Schäffer
Article de revue (2014)
Document en libre accès dans PolyPublie et chez l'éditeur officiel |
|
Libre accès au plein texte de ce document Version officielle de l'éditeur Conditions d'utilisation: Creative Commons: Attribution (CC BY) Télécharger (295kB) |
Abstract
Background: PSEUDOMARKER is a software package that performs joint linkage and linkage disequilibrium analysis between a marker and a putative disease locus. A key feature of PSEUDOMARKER is that it can combine case- controls and pedigrees of varying structure into a single unified analysis. Thus it maximizes the full likelihood of the data over marker allele frequencies or conditional allele frequencies on disease and recombination fraction. Results: The new version 2.0 uses the software package NOMAD to maximize likelihoods, resulting in generally comparable or better optima with many fewer evaluations of the likelihood functions. Conclusions: After being modified substantially to use modern optimization methods, PSEUDOMARKER version 2.0 is more robust and substantially faster than version 1.0. NOMAD may be useful in other bioinformatics problems where complex likelihood functions are optimized.
Mots clés
Computational Biology; Disease; Gene Frequency; Genetic Linkage; Humans; Likelihood Functions; Linkage Disequilibrium; Pedigree; Sequence Analysis, DNA; Software
Département: | Département de mathématiques et de génie industriel |
---|---|
Centre de recherche: | GERAD - Groupe d'études et de recherche en analyse des décisions |
Organismes subventionnaires: | NIH- Intermural Research Program, NLM - Intermural Research Program, Air Force Office of Scientific Research, MimoMICS, Academy of Finland - DiDiPro Grant, BioSHaRE-EU, Paulo Foundation |
Numéro de subvention: | FA9550-12-0198, FP7-HEALTH-2012, NIH grants MH084995, NIH grants AG036469 |
URL de PolyPublie: | https://publications.polymtl.ca/3450/ |
Titre de la revue: | BMC Bioinformatics (vol. 15, no 1) |
Maison d'édition: | BioMed Central |
DOI: | 10.1186/1471-2105-15-47 |
URL officielle: | https://doi.org/10.1186/1471-2105-15-47 |
Date du dépôt: | 21 janv. 2019 16:00 |
Dernière modification: | 28 sept. 2024 08:13 |
Citer en APA 7: | Gertz, E., Hiekkalinna, T., Le Digabel, S., Audet, C., Terwilliger, J. D., & Schäffer, A. A. (2014). PSEUDOMARKER 2.0: efficient computation of likelihoods using NOMAD. BMC Bioinformatics, 15(1). https://doi.org/10.1186/1471-2105-15-47 |
---|---|
Statistiques
Total des téléchargements à partir de PolyPublie
Téléchargements par année
Provenance des téléchargements
Dimensions