An Automated Method To Predict Mouse Gene and Protein Sequences Using Variant Data.

Dornbos, Peter; Arkatkar, Anooj A; LaPres, John J

Dornbos, Peter; Arkatkar, Anooj A; LaPres, John J.

Affiliation

Dornbos P; Department of Biochemistry and Molecular Biology and.
Arkatkar AA; Institute for Integrative Toxicology, Michigan State University, East Lansing, Michigan.
LaPres JJ; Department of Biochemistry and Molecular Biology and.

G3 (Bethesda) ; 10(3): 925-932, 2020 03 05.

Article in En | MEDLINE | ID: mdl-31911484

Subject(s)

Basic Helix-Loop-Helix Transcription Factors/genetics; Basic Helix-Loop-Helix Transcription Factors/metabolism; Receptors, Aryl Hydrocarbon/genetics; Receptors, Aryl Hydrocarbon/metabolism; Sequence Analysis/methods; Software; Amino Acid Sequence; Animals; INDEL Mutation; Mice, Inbred Strains; Polymorphism, Single Nucleotide; RNA, Messenger; Sequence Alignment

Key words

Amino Acid Imputation; Aryl Hydrocarbon Receptor; Gene Imputation; Mouse Genetics; Mus Musculus

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Sequence Analysis / Receptors, Aryl Hydrocarbon / Basic Helix-Loop-Helix Transcription Factors Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: G3 (Bethesda) Year: 2020 Type: Article

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