Voir la notice de l'article provenant de la source Annales Mathematica et Informaticae website
@article{AMI_2019_50_a14, author = {\'Ad\'am T\'oth and Ramin Karimi}, title = {Optimization of hadoop cluster for analyzing large-scale sequence data in bioinformatics}, journal = {Annales mathematicae et informaticae}, pages = {187--202}, publisher = {mathdoc}, volume = {50}, year = {2019}, doi = {10.33039/ami.2019.01.002}, language = {en}, url = {http://geodesic.mathdoc.fr/articles/10.33039/ami.2019.01.002/} }
TY - JOUR AU - Ádám Tóth AU - Ramin Karimi TI - Optimization of hadoop cluster for analyzing large-scale sequence data in bioinformatics JO - Annales mathematicae et informaticae PY - 2019 SP - 187 EP - 202 VL - 50 PB - mathdoc UR - http://geodesic.mathdoc.fr/articles/10.33039/ami.2019.01.002/ DO - 10.33039/ami.2019.01.002 LA - en ID - AMI_2019_50_a14 ER -
%0 Journal Article %A Ádám Tóth %A Ramin Karimi %T Optimization of hadoop cluster for analyzing large-scale sequence data in bioinformatics %J Annales mathematicae et informaticae %D 2019 %P 187-202 %V 50 %I mathdoc %U http://geodesic.mathdoc.fr/articles/10.33039/ami.2019.01.002/ %R 10.33039/ami.2019.01.002 %G en %F AMI_2019_50_a14
Ádám Tóth; Ramin Karimi. Optimization of hadoop cluster for analyzing large-scale sequence data in bioinformatics. Annales mathematicae et informaticae, Tome 50 (2019), pp. 187-202. doi : 10.33039/ami.2019.01.002. http://geodesic.mathdoc.fr/articles/10.33039/ami.2019.01.002/
Cité par Sources :