Reveel: large-scale population genotyping using low-coverage sequencing data
نویسندگان
چکیده
منابع مشابه
Reveel: large-scale population genotyping using low-coverage sequencing data
MOTIVATION Population low-coverage whole-genome sequencing is rapidly emerging as a prominent approach for discovering genomic variation and genotyping a cohort. This approach combines substantially lower cost than full-coverage sequencing with whole-genome discovery of low-allele frequency variants, to an extent that is not possible with array genotyping or exome sequencing. However, a challen...
متن کاملSNP genotyping and parameter estimation in polyploids using low-coverage sequencing data
Motivation Genotyping and parameter estimation using high throughput sequencing data are everyday tasks for population geneticists, but methods developed for diploids are typically not applicable to polyploid taxa. This is due to their duplicated chromosomes, as well as the complex patterns of allelic exchange that often accompany whole genome duplication (WGD) events. For WGDs within a single ...
متن کاملUConn BioGrid REU 2008 SNP Individual Genotyping from Low-Coverage Sequencing Data
Whole genomes can now be sequenced thanks to next-generation sequencing technologies. Costeffective sequencing of individual genomes would make it possible for genetic analysis to become commonplace, particularly for medical applications. However, sequencing data is only useful if information of value can be reliably extracted from it. Single nucleotide polymorphism, or SNP, genotyping from low...
متن کاملEfficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multiparental crosses.
We consider genomic imputation for low-coverage genotyping-by-sequencing data with high levels of missing data. We compensate for this loss of information by utilizing family relationships in multiparental experimental crosses. This nearly quadruples the number of usable markers when applied to a large rice Multiparent Advanced Generation InterCross (MAGIC) study.
متن کاملLarge Scale Identification of SSR Molecular Markers in Ajowan (Trachyspermum ammi) Using RNA Sequencing
The medicinal plant, Trachyspermum ammi is a rich source of active pharmaceutical ingredients with pharmaceutics effects. Microsatellite markers play a key role in the genome and gene expression, especially in secondary metabolite biosynthesis in medicinal plants. For the first time, transcriptome sequencing of this herb medicine was carried out to identify the microsatellite markers of this sp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2015
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btv530