SMILE

Stochastic Models for the Inference of Life Evolution

Bibtex

@article{perez-enciso_massive_2010,
Author = {Pérez-Enciso, M. and Ferretti, L.},
Title = {Massive parallel sequencing in animal genetics:
wherefroms and wheretos},
Journal = {Animal Genetics},
Volume = {41},
Number = {6},
Pages = {561--569},
abstract = {Next generation sequencing (NGS) has revolutionized
genomics research, making it difficult to overstate its
impact on studies of Biology. NGS will immediately
allow researchers working in non-mainstream species to
obtain complete genomes together with a comprehensive
catalogue of variants. In addition, RNA-seq will be a
decisive way to annotate genes that cannot be predicted
purely by computational or comparative approaches.
Future applications include whole genome sequence
association studies, as opposed to classical SNP-based
association, and implementing this new source of
information into breeding programmes. For these
purposes, one of the main advantages of sequencing vs.
genotyping is the possibility of identifying copy
number variants. Currently, experimental design is a
topic of utmost interest, and here we discuss some of
the options available, including pools and reduced
representation libraries. Although bioinformatics is
still an important bottleneck, this limitation is only
transient and should not deter animal geneticists from
embracing these technologies.},
doi = {10.1111/j.1365-2052.2010.02057.x},
issn = {1365-2052},
language = {eng},
month = dec,
pmid = {20477787},
shorttitle = {Massive parallel sequencing in animal genetics},
year = 2010
}