Analyze Diet

Topic:Bioinformatics

Bioinformatics in horses involves the application of computational tools and techniques to analyze and interpret biological data related to equine species. This interdisciplinary field integrates biology, computer science, and information technology to study genetic, genomic, and proteomic information in horses. Bioinformatics can be used to investigate genetic variations, understand disease mechanisms, and assist in the development of targeted therapies and breeding programs. Key areas of focus include genome sequencing, gene expression analysis, and the identification of genetic markers associated with specific traits or conditions. This page compiles peer-reviewed research studies and scholarly articles that explore the application and impact of bioinformatics on equine genetics, health, and breeding.
The Submolar Quantities of N-Terminals in Proteins: Effect of Sodium Dodecyl Sulfate on the N-Terminals of Egg Albumin and Bovine, Equine, and Porcine Gamma-Globulins.
Archives of biochemistry and biophysics    January 1, 1964   Volume 104 27-31 doi: 10.1016/s0003-9861(64)80030-8
COLACICCO G.No abstract available
Crystallization of C-Reactive Protein Following Removal of Associated Lipid-Containing Material by Antiserum to Normal Human Beta Lipoprotein.
The Yale journal of biology and medicine    December 1, 1963   Volume 36, Issue 3 241-248 
WOOD HF.No abstract available
Revised study of the chromosomes of domestic cattle and the horse in somatic cells in vitro.
The Journal of heredity    July 1, 1962   Volume 53 157-162 doi: 10.1093/oxfordjournals.jhered.a107156
SASAKI MS, MAKINO S.No abstract available
Adaptation of equine abortion virus to Earle’s L cells in serum-free medium with plaque formation. RANDALL CC, LAWSON LA.The research article discusses the successful adaptation of the Equine Abortion Virus (EAV) to L-M 929 cells, the impact on infected cultures, and possible reasons for earlier unsuccessful attempts. It […]
Biogenesis of the estrogens: the conversion of testosterone-4-C14 to estrone in the pregnant mare.
Endocrinology    August 1, 1955   Volume 57, Issue 2 200-204 doi: 10.1210/endo-57-2-200
HEARD RD, JELLINCK PH, O'DONNELL VJ.No abstract available
Biogenesis of the estrogens: the failure of cholesterol-4-C14 to give rise to estrone in the pregnant mare.
Endocrinology    February 1, 1954   Volume 54, Issue 2 209-215 doi: 10.1210/endo-54-2-209
HEARD RD, O'DONNELL VJ.No abstract available
Steroids of pregnant mares’ urine. IV. Fractionation of the neutral steroids. Examination of some non-ketonic fractions.
The Biochemical journal    August 1, 1952   Volume 51, Issue 5 694-707 doi: 10.1042/bj0510694
BROOKS RV, KLYNE W, MILLER E, PATERSON JY.No abstract available
Some steroids of pregnant mares’ urine; separation by chromatography of benzoates.
The Biochemical journal    August 1, 1951   Volume 49, Issue 3 xl-xli 
BROOKS RV, KLYNE W, MILLER E.No abstract available
Investigations into the quantitative determination of antihormones against pregnant mares’ serum hormone.
Acta endocrinologica    January 1, 1949   Volume 2, Issue 1 1-10 doi: 10.1530/acta.0.0020001
HAMBURGER C, ØSTERGAARD E.No abstract available
The steroids of pregnant mares’ urine; a method for the extraction of steroid sulphates and the isolation of allopregn-16-en-3(beta)-ol-20-one sulphate.
The Biochemical journal    January 1, 1948   Volume 43, Issue 2 231-234 
KLYNE W, SCHACHTER B, MARTIN GF.No abstract available
The isolation of a new sulphuric acid ester from the urine of pregnant mares.
The Biochemical journal    January 1, 1945   Volume 39, Issue 5 xlv 
KLYNE W, MARRIAN GF.No abstract available
Genotyping in the Brazilian Criollo Horse Stud Book: resources and perspectives.
   March 17, 2026  
The goal of this research was to evaluate the ability of the genotyping information available in the Brazilian Criollo Horse Stud Book to describe the genetic variability of the breed and the exclusion probability determined in comparative tests. Altogether, two softwares were used in the analyses of the available genotypes: Cervus 3.0.3 and Genepop 4.0. Eight microsatellite markers totaled 109 alleles, with an average of 13.6 +/- 0.6 alleles per locus. Large differences between expected and observed heterozygosity were ubiquitous (0.821 +/- 0.07 and 0.470 +/- 0.17, respectively). Although the...
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