Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli
Authors
Keywords
-
Journal
Nature Communications
Volume 7, Issue -, Pages 13090
Publisher
Springer Nature
Online
2016-10-07
DOI
10.1038/ncomms13090
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Cross-platform normalization of microarray and RNA-seq data for machine learning applications
- (2016) Jeffrey A. Thompson et al. PeerJ
- Editorial: ChemSpider – a tool for Natural Products research
- (2015) NATURAL PRODUCT REPORTS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- COLOMBOS v3.0: leveraging gene expression compendia for cross-species analyses: Table 1.
- (2015) Marco Moretto et al. NUCLEIC ACIDS RESEARCH
- RegulonDB version 9.0: high-level integration of gene regulation, coexpression, motif clustering and beyond
- (2015) Socorro Gama-Castro et al. NUCLEIC ACIDS RESEARCH
- MAGIC: access portal to a cross-platform gene expression compendium for maize
- (2014) Qiang Fu et al. BIOINFORMATICS
- HTSeq--a Python framework to work with high-throughput sequencing data
- (2014) S. Anders et al. BIOINFORMATICS
- Trimmomatic: a flexible trimmer for Illumina sequence data
- (2014) Anthony M. Bolger et al. BIOINFORMATICS
- The future of whole-cell modeling
- (2014) Derek N Macklin et al. CURRENT OPINION IN BIOTECHNOLOGY
- An integrative, multi-scale, genome-wide model reveals the phenotypic landscape of Escherichia coli
- (2014) J. Carrera et al. Molecular Systems Biology
- ProteomeXchange provides globally coordinated proteomics data submission and dissemination
- (2014) Juan A Vizcaíno et al. NATURE BIOTECHNOLOGY
- Gene Ontology Consortium: going forward
- (2014) NUCLEIC ACIDS RESEARCH
- MOPED 2.5—An Integrated Multi-Omics Resource: Multi-Omics Profiling Expression Database Now Includes Transcriptomics Data
- (2014) Elizabeth Montague et al. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
- Activities at the Universal Protein Resource (UniProt)
- (2013) NUCLEIC ACIDS RESEARCH
- Batch effect removal methods for microarray gene expression data integration: a survey
- (2012) C. Lazar et al. BRIEFINGS IN BIOINFORMATICS
- A Whole-Cell Computational Model Predicts Phenotype from Genotype
- (2012) Jonathan R. Karr et al. CELL
- Revisiting Global Gene Expression Analysis
- (2012) Jakob Lovén et al. CELL
- Amino Acid Starvation Induced by Invasive Bacterial Pathogens Triggers an Innate Host Defense Program
- (2012) Ivan Tattoli et al. Cell Host & Microbe
- A gene ontology inferred from molecular networks
- (2012) Janusz Dutkowski et al. NATURE BIOTECHNOLOGY
- HMDB 3.0—The Human Metabolome Database in 2013
- (2012) David S. Wishart et al. NUCLEIC ACIDS RESEARCH
- In silico method for modelling metabolism and gene product expression at genome scale
- (2012) Joshua A. Lerman et al. Nature Communications
- Computational and Statistical Analysis of Protein Mass Spectrometry Data
- (2012) William Stafford Noble et al. PLoS Computational Biology
- Global quantification of mammalian gene expression control
- (2011) Björn Schwanhäusser et al. NATURE
- Identification of Carcass and Meat Quality QTL in an F2 Duroc × Pietrain Pig Resource Population Using Different Least-Squares Analysis Models
- (2011) Igseo Choi et al. Frontiers in Genetics
- Functional Genomic Study of Exogenous n-Butanol Stress in Escherichia coli
- (2010) B. J. Rutherford et al. APPLIED AND ENVIRONMENTAL MICROBIOLOGY
- BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions
- (2010) Jan Schellenberger et al. BMC BIOINFORMATICS
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
- (2010) NATURE BIOTECHNOLOGY
- The challenges of integrating multi-omic data sets
- (2010) Bernhard Palsson et al. Nature Chemical Biology
- Probabilistic integrative modeling of genome-scale metabolic and regulatory networks inEscherichia coliandMycobacterium tuberculosis
- (2010) Sriram Chandrasekaran et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Quantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single Cells
- (2010) Y. Taniguchi et al. SCIENCE
- TopHat: discovering splice junctions with RNA-Seq
- (2009) Cole Trapnell et al. BIOINFORMATICS
- Growth Rate-Dependent Global Effects on Gene Expression in Bacteria
- (2009) Stefan Klumpp et al. CELL
- Integrating multiple 'omics' analysis for microbial biology: application and methodologies
- (2009) W. Zhang et al. MICROBIOLOGY-SGM
- Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli
- (2009) Bryson D Bennett et al. Nature Chemical Biology
- BioNumbers—the database of key numbers in molecular and cell biology
- (2009) Ron Milo et al. NUCLEIC ACIDS RESEARCH
- PubChem: a public information system for analyzing bioactivities of small molecules
- (2009) Y. Wang et al. NUCLEIC ACIDS RESEARCH
- Predicting Cellular Growth from Gene Expression Signatures
- (2009) Edoardo M. Airoldi et al. PLoS Computational Biology
- MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification
- (2008) Jürgen Cox et al. NATURE BIOTECHNOLOGY
- A Semi-Supervised Method for Predicting Transcription Factor–Gene Interactions in Escherichia coli
- (2008) Jason Ernst et al. PLoS Computational Biology
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search