Results overview: Found 3 records in 0.02 seconds.
Articles, 3 records found
Articles 3 records found  
1.
21 p, 1.4 MB A Deep Catalog of Autosomal Single Nucleotide Variation in the Pig / Bianco, Erica (Centre de Recerca en Agrigenòmica) ; Nevado, Bruno (Centre de Recerca en Agrigenòmica) ; Ramos-Onsins, Sebastián E. (Centre de Recerca en Agrigenòmica) ; Pérez-Enciso, Miguel (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)
A comprehensive catalog of variability in a given species is useful for many important purposes, e. g. , designing high density arrays or pinpointing potential mutations of economic or physiological interest. [...]
2015 - 10.1371/journal.pone.0118867
PloS one, Vol. 10 Núm. 3 (2015)  
2.
8 p, 426.0 KB SNP calling by sequencing pooled samples / Pérez-Enciso, Miguel (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ; Esteve Codina, Anna (Centre de Recerca en Agrigenòmica) ; Ferretti, Luca (Centre de Recerca en Agrigenòmica) ; Raineri, Emanuele (Centre Nacional d'Anàlisi Genòmica) ; Nevado, Bruno (University of Oxford. Department of Plant Sciences) ; Heath, Simon (Centre Nacional d'Anàlisi Genòmica)
Performing high throughput sequencing on samples pooled from different individuals is a strategy to characterize genetic variability at a small fraction of the cost required for individual sequencing. [...]
2012 - 10.1186/1471-2105-13-239
BMC bioinformatics, Vol. 13 (2012)  
3.
11 p, 1.1 MB Optimized next-generation sequencing genotype-haplotype calling for genome variability analysis / Navarro Fernández, Javier (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ; Nevado, Bruno (University of Oxford. Department of Plant Sciences) ; Hernández Budé, Porfidio (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ; Vera Rodríguez, Gonzalo (Centre de Recerca en Agrigenòmica) ; Ramos-Onsins, Sebastián E. (Centre de Recerca en Agrigenòmica)
The accurate estimation of nucleotide variability using next-generation sequencing data is challenged by the high number of sequencing errors produced by new sequencing technologies, especially for nonmodel species, where reference sequences may not be available and the read depth may be low due to limited budgets. [...]
2017 - 10.1177/1176934317723884
Evolutionary bioinformatics online, Vol. 13, (August 2017) , p. 1-11  

See also: similar author names
1 Nevado, B
1 Nevado, B.
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