print

IOCBIO Kinetics : an open-source software solution for analysis of data traces

author
Vendelin, Marko
Laasmaa, Martin
Kalda, Mari
Branovets, Jelena
Karro, Niina
Barsunova, Karina
Birkedal Nielsen, Rikke
statement of authorship
Marko Vendelin, Martin Laasmaa, Mari Kalda, Jelena Branovets, Niina Karro, Karina Barsunova, Rikke Birkedal
source
PLoS computational biology
journal volume number month
vol. 16, 12
year of publication
2020
pages
art. e1008475
url
https://doi.org/10.1371/journal.pcbi.1008475
subject term
tarkvaraarendus
juurdepääs infole
koostalitlusvõime
andmeanalüüs
ISSN
1553-734X
notes
Bibliogr.: 14 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Mathematics
Agricultural and biological sciences
Computer science
Environmental science
Biochemistry, genetics and molecular biology
Neuroscience
category (sub)
Mathematics. Modeling and simulation
Agricultural and biological sciences. Ecology, evolution, behavior and systematics
Computer science. Computational theory and mathematics
Environmental science. Ecology
Biochemistry, genetics and molecular biology. Genetics
Neuroscience. Cellular and molecular neuroscience
Biochemistry, genetics and molecular biology. General biochemistry, genetics and molecular biology
kvartiil
Q1
TTÜ department
küberneetika instituut
language
inglise
Uurimisrühm
Systems biology research group
Vendelin, M., Laasmaa, M., Kalda, M., Branovets, J., Karro, N., Barsunova, K., Birkedal, R. IOCBIO Kinetics : an open-source software solution for analysis of data traces // PLoS computational biology (2020) vol. 16, 12, art. e1008475. https://doi.org/10.1371/journal.pcbi.1008475