GJSFR Volume 19
ISSN Online : 2249-4626
ISSN Print : 0975-5896
Print Estd. : 2001
DOI : 10.17406/GJSFR
Publishing Frequency : Monthly
CODEN : GJSFR
Society Accreditation : Yes
MATRICES
TITLE AND INDICESALLLAST FIVE YEARS
Citations19661923
h-index1515
i10-index4139
Introduction & Purpose
Global Journal of Science Frontier Research: (G) Bio-Tech and Genetics is an international journal for publishing natural science research papers. It aims to encourage and provide international publication to researchers, scientists, and professors of natural science. We welcome original researches, surveys, and review of papers of all the streams of natural science from all over the world. The GJSFR comprises comprehensive frontier trends of Physics, Mathematics, Chemistry, Zoology, Botany, Bio-tech, Geology, Military Science, Environment and all Interdisciplinary & Frontier Subjects etc. Journal of Physics, Journal of Chemistry etc. are belonging to GJSFR.
Objective of Journal
With advancements in computers and sensors, humans are collecting more data every day and automating it to generate better results. Studying and designing better algorithms and computing methods is now one of the major elements of research and science. This journal aims to provide academia with new methodologies and applications. Special editions of this journal may contain white papers, reports, accepted standards, and thesis.
RECENT MANUSCRIPTS
Application of Protected L-Carnitine in Dairy Cows during Transition and High Lactation Period
262 dairy cows were fed either 0 or 10g of a rumen protected carnitine product (containing 2g Carnit...
Read Paper
Short Communication. Characterization of The Relic AlmuAcar Grapevine Cultivar
A prospection of Andalusian Mediterranean vineyards was carried out in search of the traditional Alm...
Read Paper
Crystal Structure and Kinetic Studies on Met244Ala Variant of Katg from HALOARCULA MARISMORTUI
KatG from HALOARCULA MARISMORTUI (Hm), used concomitantly with initiator (H2O2), exhibits high catal...
Read Paper
Exhaustive sliding-window scan strategy for genome-wide association study via PCA-based logistic model
In genome-wide association study (GWAS), various sliding-window scan approaches have been proposed r...
Read Paper
