ID

45488

Descripción

Principal Investigator: Melissa Southey, PhD, The University of Melbourne, Melbourne, Australia MeSH: Breast Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000601 The project developed a suite of new methods (FAVR) designed to assist the shortlisting of genetic variants under a rare variant-phenotype/disease model. The methods were designed to work with commonly used massively parallel sequencing analysis pipelines, such as the GATK or ANNOVAR, and have been made publically available as a suite of software tools (https://github.com/bjpop/favr). The FAVR methods use signatures in comparator sequence alignment files to facilitate the filtering of mapping artifacts and common genetic variants, and annotation of genetic variants based on evidence of co-occurrence in individuals. As relevant, FAVR methods can also be used to filter out artifacts derived from imbalanced paired-end sequencing. Pope et al., BMC Bioinformatics, accepted Dec 2012.

Link

dbGap study = phs000601

Palabras clave

  1. 9/11/22 9/11/22 - Dr. med. Lucy Kessler
  2. 13/12/22 13/12/22 - Kristina Keller
Titular de derechos de autor

Melissa Southey, PhD, The University of Melbourne, Melbourne, Australia

Subido en

13 de diciembre de 2022

DOI

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Licencia

Creative Commons BY 4.0

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dbGaP phs000601 Identifying the Genetic Explanation for Heritable Breast Cancer

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