Title:	A network landscape from CNVs to Nellore cattle beef tenderness.
Authors:	SILVA, V. H. GIACHETTO, P. F. TIZIOTO, P. L. GONÇALVES, T. M. REGITANO, L. C. A. COUTINHO, L. L.
Affiliation:	VINICIUS H. SILVA, Esalq/USP; POLIANA FERNANDA GIACHETTO, CNPTIA; POLYANA C. TIZIOTO, UFSCar; TÁSSIA M. GONÇALVES, Esalq/USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; LUIZ L. COUTINHO, Esalq/USP.
Date Issued:	2013
Citation:	In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013.
Pages:	p. 8.
Description:	This work aims to perform a couple of in silico network analysis from CNVs standpoint, shedding light to possible metabolic connections to tenderness. It was used 671 Nellore males to infer CNVs, through SNP-chip (Illumina Bovine HD Beadchip®, containing approximately 770 thousand SNPs) and PennCNV software methodology. CNV regions (CNVRs) were inferred by CNVRuler (recurrence 0.1).
Thesagro:	Genoma Gado de Corte
NAL Thesaurus:	Beef cattle Nellore Genome
Notes:	ISAFG 2013. AB.01.
Type of Material:	Resumo em anais e proceedings
Access:	openAccess
Appears in Collections:	Resumo em anais de congresso (CNPTIA)