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Rat Genome Databases, Repositories, and Tools.
Laulederkind, Stanley J F; Hayman, G Thomas; Wang, Shur-Jen; Hoffman, Matthew J; Smith, Jennifer R; Bolton, Elizabeth R; De Pons, Jeff; Tutaj, Marek A; Tutaj, Monika; Thota, Jyothi; Dwinell, Melinda R; Shimoyama, Mary.
Affiliation
  • Laulederkind SJF; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA. slaulede@mcw.edu.
  • Hayman GT; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Wang SJ; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Hoffman MJ; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Smith JR; Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Bolton ER; Department of Physiology, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • De Pons J; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Tutaj MA; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Tutaj M; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Thota J; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Dwinell MR; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Shimoyama M; Department of Biomedical Engineering, Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA.
Methods Mol Biol ; 2018: 71-96, 2019.
Article de En | MEDLINE | ID: mdl-31228152

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Bases de données factuelles / Génome / Modèles animaux Type d'étude: Prognostic_studies Limites: Animals Langue: En Journal: Methods Mol Biol Sujet du journal: BIOLOGIA MOLECULAR Année: 2019 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Bases de données factuelles / Génome / Modèles animaux Type d'étude: Prognostic_studies Limites: Animals Langue: En Journal: Methods Mol Biol Sujet du journal: BIOLOGIA MOLECULAR Année: 2019 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique