-
1
-
-
84949309885
-
Statistical modeling of nitrogen-dependent modulation of root system architecture in Arabidopsis thaliana
-
[Epub ahead of print]
-
Araya, T., Kubo, T., von Wirén, N., and Takahashi, H. (2015). Statistical modeling of nitrogen-dependent modulation of root system architecture in Arabidopsis thaliana. J. Integr. Plant. Biol. [Epub ahead of print]. doi: 10.1111/jipb.12433
-
(2015)
J. Integr. Plant. Biol
-
-
Araya, T.1
Kubo, T.2
von Wirén, N.3
Takahashi, H.4
-
2
-
-
84968773625
-
-
Frankfurt am Main: Wissenschaftlicher Verlag Harri Deutsch GmbH
-
Bronstein, I. J. N., Semendjajew, K. A., Musiol, G., and Mühlig, H. (2008). Taschenbuch der Mathematik. Frankfurt am Main: Wissenschaftlicher Verlag Harri Deutsch GmbH
-
(2008)
Taschenbuch der Mathematik
-
-
Bronstein, I.J.N.1
Semendjajew, K.A.2
Musiol, G.3
Mühlig, H.4
-
3
-
-
80051537012
-
Metabolic network reconstruction of Chlamydomonas offers insight into light-driven algal metabolism
-
Chang, R. L., Ghamsari, L., Manichaikul, A., Hom, E. F., Balaji, S., Fu, W., et al. (2011). Metabolic network reconstruction of Chlamydomonas offers insight into light-driven algal metabolism. Mol. Syst. Biol. 7, 518. doi: 10.1038/msb.2011.52
-
(2011)
Mol. Syst. Biol
, vol.7
, pp. 518
-
-
Chang, R.L.1
Ghamsari, L.2
Manichaikul, A.3
Hom, E.F.4
Balaji, S.5
Fu, W.6
-
4
-
-
84920997181
-
From metabolomics to fluxomics: a computational procedure to translate metabolite profiles into metabolic fluxes
-
Cortassa, S., Caceres, V., Bell, L. N., O'Rourke, B., Paolocci, N., and Aon, M. A. (2015). From metabolomics to fluxomics: a computational procedure to translate metabolite profiles into metabolic fluxes. Biophys. J. 108, 163-172. doi: 10.1016/j.bpj.2014.11.1857
-
(2015)
Biophys. J
, vol.108
, pp. 163-172
-
-
Cortassa, S.1
Caceres, V.2
Bell, L.N.3
O'Rourke, B.4
Paolocci, N.5
Aon, M.A.6
-
5
-
-
84874976941
-
Plant genome-scale metabolic reconstruction and modelling
-
De Oliveira Dal'Molin, C. G., and Nielsen, L. K. (2013). Plant genome-scale metabolic reconstruction and modelling. Curr. Opin. Biotechnol. 24, 271-277. doi: 10.1016/j.copbio.2012.08.007
-
(2013)
Curr. Opin. Biotechnol
, vol.24
, pp. 271-277
-
-
De Oliveira Dal'Molin, C.G.1
Nielsen, L.K.2
-
6
-
-
84877605157
-
Granger causality in integrated GC-MS and LC-MS metabolomics data reveals the interface of primary and secondary metabolism
-
Doerfler, H., Lyon, D., Nägele, T., Sun, X., Fragner, L., Hadacek, F., et al. (2013). Granger causality in integrated GC-MS and LC-MS metabolomics data reveals the interface of primary and secondary metabolism. Metabolomics 9, 564-574. doi: 10.1007/s11306-012-0470-0
-
(2013)
Metabolomics
, vol.9
, pp. 564-574
-
-
Doerfler, H.1
Lyon, D.2
Nägele, T.3
Sun, X.4
Fragner, L.5
Hadacek, F.6
-
7
-
-
58149263701
-
Time-series integrated "omic" analyses to elucidate short-term stress-induced responses in plant liquid cultures
-
Dutta, B., Kanani, H., Quackenbush, J., and Klapa, M. I. (2009). Time-series integrated "omic" analyses to elucidate short-term stress-induced responses in plant liquid cultures. Biotechnol. Bioeng. 102, 264-279. doi: 10.1002/bit.22036
-
(2009)
Biotechnol. Bioeng
, vol.102
, pp. 264-279
-
-
Dutta, B.1
Kanani, H.2
Quackenbush, J.3
Klapa, M.I.4
-
8
-
-
35048896054
-
Significance analysis of time-series transcriptomic data: a methodology that enables the identification and further exploration of the differentially expressed genes at each time-point
-
Dutta, B., Snyder, R., and Klapa, M. I. (2007). Significance analysis of time-series transcriptomic data: a methodology that enables the identification and further exploration of the differentially expressed genes at each time-point. Biotechnol. Bioeng. 98, 668-678. doi: 10.1002/bit.21432
-
(2007)
Biotechnol. Bioeng
, vol.98
, pp. 668-678
-
-
Dutta, B.1
Snyder, R.2
Klapa, M.I.3
-
9
-
-
84897932434
-
A mathematical model of metabolism and regulation provides a systems-level view of how Escherichia coli responds to oxygen
-
Ederer, M., Steinsiek, S., Stagge, S., Rolfe, M. D., Ter Beek, A., Knies, D., et al. (2014). A mathematical model of metabolism and regulation provides a systems-level view of how Escherichia coli responds to oxygen. Front. Microbiol. 5:124. doi: 10.3389/fmicb.2014.00124
-
(2014)
Front. Microbiol
, vol.5
, pp. 124
-
-
Ederer, M.1
Steinsiek, S.2
Stagge, S.3
Rolfe, M.D.4
Ter Beek, A.5
Knies, D.6
-
10
-
-
0028120586
-
Diurnal regulation of photosynthetic carbon metabolism in C3 plants
-
Geiger, D. R., and Servaites, J. C. (1994). Diurnal regulation of photosynthetic carbon metabolism in C3 plants. Annu. Rev. Plant Physiol. Plant Mol. Biol. 45, 235-256. doi: 10.1146/annurev.pp.45.060194.001315
-
(1994)
Annu. Rev. Plant Physiol. Plant Mol. Biol
, vol.45
, pp. 235-256
-
-
Geiger, D.R.1
Servaites, J.C.2
-
11
-
-
66449087281
-
The circadian system in higher plants
-
Harmer, S. L. (2009). The circadian system in higher plants. Annu. Rev. Plant Biol. 60, 357-377. doi: 10.1146/annurev.arplant.043008.092054
-
(2009)
Annu. Rev. Plant Biol
, vol.60
, pp. 357-377
-
-
Harmer, S.L.1
-
12
-
-
53749085229
-
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology
-
Herrgard, M. J., Swainston, N., Dobson, P., Dunn, W. B., Arga, K. Y., Arvas, M., et al. (2008). A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology. Nat. Biotechnol. 26, 1155-1160. doi: 10.1038/nbt1492
-
(2008)
Nat. Biotechnol
, vol.26
, pp. 1155-1160
-
-
Herrgard, M.J.1
Swainston, N.2
Dobson, P.3
Dunn, W.B.4
Arga, K.Y.5
Arvas, M.6
-
13
-
-
77952279419
-
Metabolomic and transcriptomic stress response of Escherichia coli
-
Jozefczuk, S., Klie, S., Catchpole, G., Szymanski, J., Cuadros-Inostroza, A., Steinhauser, D., et al. (2010). Metabolomic and transcriptomic stress response of Escherichia coli. Mol. Syst. Biol. 6, 364. doi: 10.1038/msb.2010.18
-
(2010)
Mol. Syst. Biol
, vol.6
, pp. 364
-
-
Jozefczuk, S.1
Klie, S.2
Catchpole, G.3
Szymanski, J.4
Cuadros-Inostroza, A.5
Steinhauser, D.6
-
14
-
-
84934298446
-
Phosphoproteome dynamics of Saccharomyces cerevisiae under heat shock and cold stress
-
Kanshin, E., Kubiniok, P., Thattikota, Y., D'Amours, D., and Thibault, P. (2015). Phosphoproteome dynamics of Saccharomyces cerevisiae under heat shock and cold stress. Mol. Syst. Biol. 11, 813. doi: 10.15252/msb.20156170
-
(2015)
Mol. Syst. Biol
, vol.11
, pp. 813
-
-
Kanshin, E.1
Kubiniok, P.2
Thattikota, Y.3
D'Amours, D.4
Thibault, P.5
-
15
-
-
84920896587
-
Next-generation genome-scale models for metabolic engineering
-
King, Z. A., Lloyd, C. J., Feist, A. M., and Palsson, B. O. (2015). Next-generation genome-scale models for metabolic engineering. Curr. Opin. Biotechnol. 35, 23-29. doi: 10.1016/j.copbio.2014.12.016
-
(2015)
Curr. Opin. Biotechnol
, vol.35
, pp. 23-29
-
-
King, Z.A.1
Lloyd, C.J.2
Feist, A.M.3
Palsson, B.O.4
-
16
-
-
84899996678
-
Identification of alterations in the Jacobian of biochemical reaction networks from steady state covariance data at two conditions
-
Kügler, P., and Yang, W. (2014). Identification of alterations in the Jacobian of biochemical reaction networks from steady state covariance data at two conditions. J. Math. Biol. 68, 1757-1783. doi: 10.1007/s00285-013-0685-3
-
(2014)
J. Math. Biol
, vol.68
, pp. 1757-1783
-
-
Kügler, P.1
Yang, W.2
-
17
-
-
84947043200
-
Circadian rhythms in glucose and lipid metabolism in nocturnal and diurnal mammals
-
Kumar Jha, P., Challet, E., and Kalsbeek, A. (2015). Circadian rhythms in glucose and lipid metabolism in nocturnal and diurnal mammals. Mol. Cell Endocrinol. 418(Pt 1), 74-88. doi: 10.1016/j.mce.2015.01.024
-
(2015)
Mol. Cell Endocrinol
, vol.418
, pp. 74-88
-
-
Kumar Jha, P.1
Challet, E.2
Kalsbeek, A.3
-
18
-
-
0036708443
-
Dynamic flux balance analysis of diauxic growth in Escherichia coli
-
Mahadevan, R., Edwards, J. S., and Doyle, F. J. III (2002). Dynamic flux balance analysis of diauxic growth in Escherichia coli. Biophys. J. 83, 1331-1340. doi: 10.1016/S0006-3495(02)73903-9
-
(2002)
Biophys. J
, vol.83
, pp. 1331-1340
-
-
Mahadevan, R.1
Edwards, J.S.2
Doyle, F.J.3
-
19
-
-
84963929612
-
Linking metabolomics data to underlying metabolic regulation
-
Nägele, T. (2014). Linking metabolomics data to underlying metabolic regulation. Front. Mol. Biosci. 1:22. doi: 10.3389/fmolb.2014.00022
-
(2014)
Front. Mol. Biosci
, vol.1
, pp. 22
-
-
Nägele, T.1
-
20
-
-
84898806978
-
Solving the differential biochemical Jacobian from metabolomics covariance data
-
Nägele, T., Mair, A., Sun, X., Fragner, L., Teige, M., and Weckwerth, W. (2014). Solving the differential biochemical Jacobian from metabolomics covariance data. PLoS ONE 9:e92299. doi: 10.1371/journal.pone.0092299
-
(2014)
PLoS ONE
, vol.9
-
-
Nägele, T.1
Mair, A.2
Sun, X.3
Fragner, L.4
Teige, M.5
Weckwerth, W.6
-
21
-
-
84866739110
-
Identification of a metabolic bottleneck for cold acclimation in Arabidopsis thaliana
-
Nägele, T., Stutz, S., Hörmiller, I., and Heyer, A. G. (2012). Identification of a metabolic bottleneck for cold acclimation in Arabidopsis thaliana. Plant J. 72, 102-114. doi: 10.1111/j.1365-313X.2012.05064.x
-
(2012)
Plant J
, vol.72
, pp. 102-114
-
-
Nägele, T.1
Stutz, S.2
Hörmiller, I.3
Heyer, A.G.4
-
22
-
-
84877595714
-
Mathematical modeling of plant metabolism-from reconstruction to prediction
-
Nägele, T., and Weckwerth, W. (2012). Mathematical modeling of plant metabolism-from reconstruction to prediction. Metabolites 2, 553-566. doi: 10.3390/metabo2030553
-
(2012)
Metabolites
, vol.2
, pp. 553-566
-
-
Nägele, T.1
Weckwerth, W.2
-
23
-
-
84893484757
-
Adjustment of carbon fluxes to light conditions regulates the daily turnover of starch in plants: a computational model
-
Pokhilko, A., Flis, A., Sulpice, R., Stitt, M., and Ebenhöh, O. (2014). Adjustment of carbon fluxes to light conditions regulates the daily turnover of starch in plants: a computational model. Mol. Biosyst. 10, 613-627. doi: 10.1039/c3mb70459a
-
(2014)
Mol. Biosyst
, vol.10
, pp. 613-627
-
-
Pokhilko, A.1
Flis, A.2
Sulpice, R.3
Stitt, M.4
Ebenhöh, O.5
-
24
-
-
84859355304
-
Kinetic modelling of plant metabolic pathways
-
Rohwer, J. M. (2012). Kinetic modelling of plant metabolic pathways. J. Exp. Bot. 63, 2275-2292. doi: 10.1093/jxb/ers080
-
(2012)
J. Exp. Bot
, vol.63
, pp. 2275-2292
-
-
Rohwer, J.M.1
-
25
-
-
58849118519
-
Nested uncertainties in biochemical models
-
Schaber, J., Liebermeister, W., and Klipp, E. (2009). Nested uncertainties in biochemical models. IET Syst. Biol. 3, 1-9. doi: 10.1049/iet-syb:20070042
-
(2009)
IET Syst. Biol
, vol.3
, pp. 1-9
-
-
Schaber, J.1
Liebermeister, W.2
Klipp, E.3
-
27
-
-
84953319558
-
Inference of network dynamics and metabolic interactions in the gut microbiome
-
Steinway, S. N., Biggs, M. B., Loughran, T. P. Jr., Papin, J. A., and Albert, R. (2015). Inference of network dynamics and metabolic interactions in the gut microbiome. PLoS Comput. Biol. 11:e1004338. doi: 10.1371/journal.pcbi.1004338
-
(2015)
PLoS Comput. Biol
, vol.11
-
-
Steinway, S.N.1
Biggs, M.B.2
Loughran, T.P.3
Papin, J.A.4
Albert, R.5
-
28
-
-
33747061013
-
Structural kinetic modeling of metabolic networks
-
Steuer, R., Gross, T., Selbig, J., and Blasius, B. (2006). Structural kinetic modeling of metabolic networks. Proc. Natl. Acad. Sci. U.S.A. 103, 11868-11873. doi: 10.1073/pnas.0600013103
-
(2006)
Proc. Natl. Acad. Sci. U.S.A
, vol.103
, pp. 11868-11873
-
-
Steuer, R.1
Gross, T.2
Selbig, J.3
Blasius, B.4
-
29
-
-
0038281453
-
Observing and interpreting correlations in metabolomic networks
-
Steuer, R., Kurths, J., Fiehn, O., and Weckwerth, W. (2003). Observing and interpreting correlations in metabolomic networks. Bioinformatics 19, 1019-1026. doi: 10.1093/bioinformatics/btg120
-
(2003)
Bioinformatics
, vol.19
, pp. 1019-1026
-
-
Steuer, R.1
Kurths, J.2
Fiehn, O.3
Weckwerth, W.4
-
30
-
-
84862802794
-
COVAIN: a toolbox for uni-and multivariate statistics, time-series and correlation network analysis and inverse estimation of the differential Jacobian from metabolomics covariance data
-
Sun, X. L., and Weckwerth, W. (2012). COVAIN: a toolbox for uni-and multivariate statistics, time-series and correlation network analysis and inverse estimation of the differential Jacobian from metabolomics covariance data. Metabolomics 8, S81-S93. doi: 10.1007/s11306-012-0399-3
-
(2012)
Metabolomics
, vol.8
, pp. S81-S93
-
-
Sun, X.L.1
Weckwerth, W.2
-
31
-
-
84877315835
-
A community-driven global reconstruction of human metabolism
-
Thiele, I., Swainston, N., Fleming, R. M., Hoppe, A., Sahoo, S., Aurich, M. K., et al. (2013). A community-driven global reconstruction of human metabolism. Nat. Biotechnol. 31, 419-425. doi: 10.1038/nbt.2488
-
(2013)
Nat. Biotechnol
, vol.31
, pp. 419-425
-
-
Thiele, I.1
Swainston, N.2
Fleming, R.M.3
Hoppe, A.4
Sahoo, S.5
Aurich, M.K.6
-
32
-
-
79956281118
-
Unpredictability of metabolism-the key role of metabolomics science in combination with next-generation genome sequencing
-
Weckwerth, W. (2011). Unpredictability of metabolism-the key role of metabolomics science in combination with next-generation genome sequencing. Anal. Bioanal. Chem. 400, 1967-1978. doi: 10.1007/s00216-011-4948-9
-
(2011)
Anal. Bioanal. Chem
, vol.400
, pp. 1967-1978
-
-
Weckwerth, W.1
-
33
-
-
84918789208
-
MetDFBA: incorporating time-resolved metabolomics measurements into dynamic flux balance analysis
-
Willemsen, A. M., Hendrickx, D. M., Hoefsloot, H. C., Hendriks, M. M., Wahl, S. A., Teusink, B., et al. (2015). MetDFBA: incorporating time-resolved metabolomics measurements into dynamic flux balance analysis. Mol. Biosyst. 11, 137-145. doi: 10.1039/C4MB00510D
-
(2015)
Mol. Biosyst
, vol.11
, pp. 137-145
-
-
Willemsen, A.M.1
Hendrickx, D.M.2
Hoefsloot, H.C.3
Hendriks, M.M.4
Wahl, S.A.5
Teusink, B.6
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