Your browser doesn't support javascript.
loading
Comparison of multiple algorithms to reliably detect structural variants in pears.
Liu, Yueyuan; Zhang, Mingyue; Sun, Jieying; Chang, Wenjing; Sun, Manyi; Zhang, Shaoling; Wu, Jun.
Afiliação
  • Liu Y; Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
  • Zhang M; Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
  • Sun J; Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
  • Chang W; Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
  • Sun M; Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
  • Zhang S; Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
  • Wu J; Center of Pear Engineering Technology Research, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China. wujun@njau.edu.cn.
BMC Genomics ; 21(1): 61, 2020 Jan 20.
Article em En | MEDLINE | ID: mdl-31959124

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Algoritmos / Software / Análise de Sequência de DNA / Pyrus Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Algoritmos / Software / Análise de Sequência de DNA / Pyrus Idioma: En Ano de publicação: 2020 Tipo de documento: Article