MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses.
about
Virulence factor activity relationships (VFARs): a bioinformatics perspective.Inferring human microbial dynamics from temporal metagenomics data: Pitfalls and lessons.Two dynamic regimes in the human gut microbiomeHealth and Disease Imprinted in the Time Variability of the Human Microbiome.Modeling time-series data from microbial communities.Engineered bacteria can function in the mammalian gut long-term as live diagnostics of inflammation.A multivariate distance-based analytic framework for microbial interdependence association test in longitudinal study.Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing.From Genes to Ecosystems in Microbiology: Modeling Approaches and the Importance of Individuality.Mapping the ecological networks of microbial communities.SeekDeep: single-base resolution de novo clustering for amplicon deep sequencing.Experimental design and quantitative analysis of microbial community multiomics.Engineered Probiotic for the Inhibition of Salmonella via Tetrathionate-Induced Production of Microcin H47.'TIME': A Web Application for Obtaining Insights into Microbial Ecology Using Longitudinal Microbiome Data.MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies.Computer-guided design of optimal microbial consortia for immune system modulation.Application of one-step method to parameter estimation in ODE models.Deciphering microbial interactions in synthetic human gut microbiome communities.Signatures of ecological processes in microbial community time series.Inference of Significant Microbial Interactions From Longitudinal Metagenomics DataMDPbiome: microbiome engineering through prescriptive perturbations
P2860
Q30235426-1976A967-92A0-4195-8DC4-8199AEE8799EQ31150385-3CB61FFB-EC1B-4C89-9557-B196BB84C4F2Q36286224-3CF6D238-3130-47D5-8045-7B208B7D558BQ36323428-575B1FE4-7D47-4EDC-88C9-074B2B8740D7Q38634964-D042DA59-96DC-4D1B-8777-3FDEA263D969Q40195519-AFDDD136-A4CA-4939-AFB8-6445A42A67DFQ42687933-8E4A65A7-3B64-49A6-AE10-AB1747D5E159Q42696549-50764EA2-EFE0-4BCE-91E3-5FD0EEA04616Q46217511-061D9C25-1B8C-4198-914C-2562D7B62699Q46243438-E259326A-8BC9-44EC-89AC-A75C388E06B9Q46248684-23D2B232-05C2-4892-B0A2-EECDD36E71F5Q47168166-65C22A6C-7F59-41A2-A927-9E9AA026094BQ47666235-8C9B7228-B83B-4B37-9A48-FF83AD354CC5Q49318668-D7EA1284-34F7-44C6-8620-87C547352A09Q50032261-7FACDD4A-A60E-464C-A3F3-583F5F2FABF8Q52583327-118F2169-357F-48A3-ACE8-CAC6EF74162FQ55322298-5A2468A4-3932-4A6A-B3D6-07501EF5F3BBQ55399086-33A7D045-4AFC-4F09-B5E4-3BE184742D17Q55486396-2A349FC0-730A-4CD7-994C-D95C16EFED12Q58553925-9D833D7E-7D90-46E3-BD75-FACF07538671Q58757875-48EE33A4-161C-4255-864E-7AB010B6FF6A
P2860
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses.
@ast
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses.
@en
type
label
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses.
@ast
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses.
@en
prefLabel
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses.
@ast
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses.
@en
P2093
P2860
P1433
P1476
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time-series analyses
@en
P2093
Belinda Tzen
Bernat Olle
Elijah Bogart
Georg K Gerber
Kenya Honda
Luxue Deng
Mary L Delaney
Matt Simmons
P2860
P2888
P356
10.1186/S13059-016-0980-6
P577
2016-06-03T00:00:00Z
P6179
1000278738