Long-read transcriptome data for improved gene prediction in <i>Lentinula edodes</i>.

Park, Sin-Gi; Yoo, Seung Il; Ryu, Dong Sung; Lee, Hyunsung; Ahn, Yong Ju; Ryu, Hojin; Ko, Junsu; Hong, Chang Pyo

Long-read transcriptome data for improved gene prediction in Lentinula edodes.

Park, Sin-Gi; Yoo, Seung Il; Ryu, Dong Sung; Lee, Hyunsung; Ahn, Yong Ju; Ryu, Hojin; Ko, Junsu; Hong, Chang Pyo.

Afiliação

Park SG; Theragen Etex Bio Institute, Suwon 16229, Republic of Korea.
Yoo SI; Theragen Etex Bio Institute, Suwon 16229, Republic of Korea.
Ryu DS; Theragen Etex Bio Institute, Suwon 16229, Republic of Korea.
Lee H; Theragen Etex Bio Institute, Suwon 16229, Republic of Korea.
Ahn YJ; Theragen Etex Bio Institute, Suwon 16229, Republic of Korea.
Ryu H; Department of Biology, Chungbuk National University, Cheongju 28644, Republic of Korea.
Ko J; Theragen Etex Bio Institute, Suwon 16229, Republic of Korea.
Hong CP; Theragen Etex Bio Institute, Suwon 16229, Republic of Korea.

Data Brief ; 15: 454-458, 2017 Dec.

Article em En | MEDLINE | ID: mdl-29845094

Palavras-chave

GFF, general feature format; Gene model; Gene prediction; Lentinula edodes; PacBio Single-molecule real-time (SMRT) transcriptome sequencing; RNA-Seq, whole transcriptome sequencing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

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