Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.
Biolog Phenotype Microarray (PM) is a technology allowing simultaneous screening of the metabolic behaviour of bacteria under a large number of different conditions. Bacteria may often undergo several cycles of metabolic activity during a Biolog experiment. We introduce a novel algorithm to identify...
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doaj-df6ee93b14a94d0b95f6473eaa5ca3cd2020-11-25T00:40:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01119e016227610.1371/journal.pone.0162276Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments.Mikhail ShubinKatharina SchauflerKarsten TedinMinna VehkalaJukka CoranderBiolog Phenotype Microarray (PM) is a technology allowing simultaneous screening of the metabolic behaviour of bacteria under a large number of different conditions. Bacteria may often undergo several cycles of metabolic activity during a Biolog experiment. We introduce a novel algorithm to identify these metabolic cycles in PM experimental data, thus increasing the potential of PM technology in microbiology. Our method is based on a statistical decomposition of the time-series measurements into a set of growth models. We show that the method is robust to measurement noise and captures accurately the biologically relevant signals from the data. Our implementation is made freely available as a part of an R package for PM data analysis and can be found at www.helsinki.fi/bsg/software/Biolog_Decomposition.http://europepmc.org/articles/PMC5038949?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mikhail Shubin Katharina Schaufler Karsten Tedin Minna Vehkala Jukka Corander |
spellingShingle |
Mikhail Shubin Katharina Schaufler Karsten Tedin Minna Vehkala Jukka Corander Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments. PLoS ONE |
author_facet |
Mikhail Shubin Katharina Schaufler Karsten Tedin Minna Vehkala Jukka Corander |
author_sort |
Mikhail Shubin |
title |
Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments. |
title_short |
Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments. |
title_full |
Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments. |
title_fullStr |
Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments. |
title_full_unstemmed |
Identifying Multiple Potential Metabolic Cycles in Time-Series from Biolog Experiments. |
title_sort |
identifying multiple potential metabolic cycles in time-series from biolog experiments. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2016-01-01 |
description |
Biolog Phenotype Microarray (PM) is a technology allowing simultaneous screening of the metabolic behaviour of bacteria under a large number of different conditions. Bacteria may often undergo several cycles of metabolic activity during a Biolog experiment. We introduce a novel algorithm to identify these metabolic cycles in PM experimental data, thus increasing the potential of PM technology in microbiology. Our method is based on a statistical decomposition of the time-series measurements into a set of growth models. We show that the method is robust to measurement noise and captures accurately the biologically relevant signals from the data. Our implementation is made freely available as a part of an R package for PM data analysis and can be found at www.helsinki.fi/bsg/software/Biolog_Decomposition. |
url |
http://europepmc.org/articles/PMC5038949?pdf=render |
work_keys_str_mv |
AT mikhailshubin identifyingmultiplepotentialmetaboliccyclesintimeseriesfrombiologexperiments AT katharinaschaufler identifyingmultiplepotentialmetaboliccyclesintimeseriesfrombiologexperiments AT karstentedin identifyingmultiplepotentialmetaboliccyclesintimeseriesfrombiologexperiments AT minnavehkala identifyingmultiplepotentialmetaboliccyclesintimeseriesfrombiologexperiments AT jukkacorander identifyingmultiplepotentialmetaboliccyclesintimeseriesfrombiologexperiments |
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1725290480647798784 |