about
Systems medicine: the future of medical genomics and healthcareSingle-RNA counting reveals alternative modes of gene expression in yeastThe incoherent feed-forward loop can generate non-monotonic input functions for genesDiverse two-dimensional input functions control bacterial sugar genesWriting DNA with GenoCADSynthetic promoter design for new microbial chassisThe emerging paradigm of network medicine in the study of human diseaseMolecular Dynamics of "Fuzzy" Transcriptional Activator-Coactivator InteractionsGene networks of fully connected triads with complete auto-activation enable multistability and stepwise stochastic transitionsLinear control theory for gene network modelingQuantification of the gene silencing performances of rationally-designed synthetic small RNAs.Synthetic gene networks that countAdvances and computational tools towards predictable design in biological engineeringRational design of memory in eukaryotic cellsPrediction by promoter logic in bacterial quorum sensingRedirector: designing cell factories by reconstructing the metabolic objectiveConsistent design schematics for biological systems: standardization of representation in biological engineeringThe role of predictive modelling in rationally re-engineering biological systemsBiology by design: reduction and synthesis of cellular components and behaviourSynthetic circuits that process multiple light and chemical signal inputsAutomated single cell microbioreactor for monitoring intracellular dynamics and cell growth in free solutionAccurate prediction of gene feedback circuit behavior from component properties.Image segmentation and dynamic lineage analysis in single-cell fluorescence microscopy.A synthetic low-frequency mammalian oscillatorA synthetic three-color scaffold for monitoring genetic regulation and noiseThe transcription factor titration effect dictates level of gene expression.A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data.Topology-based cancer classification and related pathway mining using microarray data.Synthetic biology: mapping the scientific landscape.Topological basis of signal integration in the transcriptional-regulatory network of the yeast, Saccharomyces cerevisiaePotential energy landscape and robustness of a gene regulatory network: toggle switch.Programming gene expression with combinatorial promoters.Promoter library designed for fine-tuned gene expression in Pichia pastoris.Deducing topology of protein-protein interaction networks from experimentally measured sub-networks.Diversity-based, model-guided construction of synthetic gene networks with predicted functions.A pathway analysis tool for analyzing microarray data of species with low physiological information.Statecharts for gene network modeling.Probability distributed time delays: integrating spatial effects into temporal models.Robust dynamical pattern formation from a multifunctional minimal genetic circuit.Avoiding transcription factor competition at promoter level increases the chances of obtaining oscillation.
P2860
Q24288895-BFC5A011-5BE8-4AA6-A5D6-8AAE38A847F0Q24619115-F8F69C87-CA57-4DCA-9AF7-25B90C2D0B7BQ24644242-3F9A7BB3-9CED-4364-81E1-0179EFC96167Q24647458-B7DED1C1-E1BA-4563-9B18-3CFA2ADEBBEDQ24655513-5B455CDF-9426-4EBD-A2BC-8B4CC33143C6Q26747209-742A62D0-2E3C-4EC9-8A32-8921B57B5DE5Q27026041-F670C77E-6A07-4E44-8C99-65FE5CD85E0BQ27316278-7D10E482-35A7-4C29-A59F-B559E66A27CBQ27318486-C14B6BB0-03CF-4794-BE02-D0D31F83B699Q27320150-E881EC13-CD78-4E49-AB4B-DAB2D8EFB04AQ27346857-3231D811-61E4-47C1-B835-B902D000E921Q28246672-FBD38A3D-45EA-4209-8400-D055D0CFB748Q28246745-E8079598-C824-4AD1-810E-EBF80A2515F2Q28249187-DCBCDCBB-7EE0-4497-BA50-7F0DDEEB45AEQ28478989-4D134902-75D2-409D-976C-37F6F22E6F19Q28485150-E16E0732-96DA-47C8-8226-33CFB0B79CF0Q28748354-FB0D6BF6-08A4-4DB6-A93E-A72FF85512ADQ28751801-E1AE2AA7-9685-4D0A-B89C-A475DA8E5447Q28754680-E3BC873B-CC44-4A01-A79B-F68B8F35FFE2Q28818778-FE074CDD-05D4-48AC-8893-93CCFEB928D5Q30405183-3140B4B5-8980-426A-B81C-E9A8B5BF1EA4Q30480827-5AD67A62-6FA2-49FC-8525-48E5BE2BC284Q30492522-4F826CAF-9F4E-4CF5-8013-78F10538DC1DQ30494239-3B975619-0411-4032-A22C-99CA811E876EQ30495928-A30325D7-ED72-49FF-A5E4-D2A418A77651Q30582620-7F5CCB9F-FD9E-47E6-AFBF-5D51109C2C93Q30651233-8075C828-CDD8-4844-8963-20F015AD006AQ31054943-75E47909-8DFB-4304-BFB7-C4362EF041DBQ31059198-79425722-4FC6-4E3D-A1C1-A6779CC88265Q33261860-39722C79-AE9A-43D5-9B60-693956D39F33Q33280627-2ED63688-9183-4A0E-906F-E09A49C7114BQ33305625-84EF0BE3-1556-4835-BEE2-9AC3DE4FBEA1Q33341388-DDEFAE61-D2B0-4EAD-9AA4-E98168A53BCBQ33348854-4715319D-E127-43C0-998A-43B23646FD01Q33431823-FAF353F7-DBEF-4EAF-990F-6C3DC67A02F2Q33516124-43F54FF1-92A5-4FD5-8B19-AB6512EDEBBDQ33534701-8310CEDD-A502-46D5-B57C-B9249D39984BQ33536831-C277B696-75D2-4D41-A0D5-6754AC91F5E9Q33562217-F16E1C7B-0606-41BF-941E-64C7812DD831Q33579512-EEC9C09D-51FC-4C25-A1BE-044AD6F4EB75
P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
A bottom-up approach to gene regulation.
@en
A bottom-up approach to gene regulation.
@nl
type
label
A bottom-up approach to gene regulation.
@en
A bottom-up approach to gene regulation.
@nl
prefLabel
A bottom-up approach to gene regulation.
@en
A bottom-up approach to gene regulation.
@nl
P2093
P2860
P356
P1433
P1476
A bottom-up approach to gene regulation
@en
P2093
Charles R Cantor
David Adalsteinsson
J J Collins
Jeff Hasty
Nicholas J Guido
Timothy C Elston
P2860
P2888
P304
P356
10.1038/NATURE04473
P407
P577
2006-02-01T00:00:00Z
P5875
P6179
1025424131