Optimization of hadoop cluster for analyzing large-scale sequence data in bioinformatics
Annales mathematicae et informaticae, Volume 50 (2019), pp. 187-202
See the original article notice from the Annales Mathematica et Informaticae website source
Ádám Tóth; Ramin Karimi. Optimization of hadoop cluster for analyzing large-scale sequence data in bioinformatics. Annales mathematicae et informaticae, Volume 50 (2019), pp. 187-202. doi: 10.33039/ami.2019.01.002
@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},
year = {2019},
volume = {50},
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 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 %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
Cited by Sources: