The y-ome defines the 35% of Escherichia coli genes that lack experimental evidence of function
出版年份 2019 全文链接
标题
The y-ome defines the 35% of Escherichia coli genes that lack experimental evidence of function
作者
关键词
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出版物
NUCLEIC ACIDS RESEARCH
Volume 47, Issue 5, Pages 2446-2454
出版商
Oxford University Press (OUP)
发表日期
2019-01-26
DOI
10.1093/nar/gkz030
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- The fractured landscape of RNA-seq alignment: the default in our STARs
- (2018) Sara Ballouz et al. NUCLEIC ACIDS RESEARCH
- Mutant phenotypes for thousands of bacterial genes of unknown function
- (2018) Morgan N. Price et al. NATURE
- Genomewide landscape of gene–metabolome associations in Escherichia coli
- (2017) Tobias Fuhrer et al. Molecular Systems Biology
- Long range chromosome organization in Escherichia coli: The position of the replication origin defines the non-structured regions and the Right and Left macrodomains
- (2017) Stéphane Duigou et al. PLoS Genetics
- Nontargeted in vitro metabolomics for high-throughput identification of novel enzymes in Escherichia coli
- (2016) Daniel C Sévin et al. NATURE METHODS
- Determinants of tRNA Recognition by the Radical SAM Enzyme RlmN
- (2016) Christina M. Fitzsimmons et al. PLoS One
- Design and synthesis of a minimal bacterial genome
- (2016) C. A. Hutchison et al. SCIENCE
- Unknown unknowns: essential genes in quest for function
- (2016) Antoine Danchin et al. Microbial Biotechnology
- The quantitative and condition-dependent Escherichia coli proteome
- (2015) Alexander Schmidt et al. NATURE BIOTECHNOLOGY
- COMBREX-DB: an experiment centered database of protein function: knowledge, predictions and knowledge gaps
- (2015) Yi-Chien Chang et al. NUCLEIC ACIDS RESEARCH
- Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation
- (2015) Nuala A. O'Leary 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
- Model-driven discovery of underground metabolic functions inEscherichia coli
- (2015) Gabriela I. Guzmán et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Why Build Whole-Cell Models?
- (2015) Javier Carrera et al. TRENDS IN CELL BIOLOGY
- EcoliNet: a database of cofunctional gene network for Escherichia coli
- (2015) Hanhae Kim et al. Database-The Journal of Biological Databases and Curation
- Reconstruction and modeling protein translocation and compartmentalization in Escherichia coli at the genome-scale
- (2014) Joanne K Liu et al. BMC Systems Biology
- The Disulfide Bonding System Suppresses CsgD-Independent Cellulose Production in Escherichia coli
- (2014) D. A. Hufnagel et al. JOURNAL OF BACTERIOLOGY
- In silico assessment of the metabolic capabilities of an engineered functional reversal of the β-oxidation cycle for the synthesis of longer-chain (C≥4) products
- (2014) Angela Cintolesi et al. METABOLIC ENGINEERING
- Evolution of Escherichia coli to 42 °C and Subsequent Genetic Engineering Reveals Adaptive Mechanisms and Novel Mutations
- (2014) Troy E. Sandberg et al. MOLECULAR BIOLOGY AND EVOLUTION
- Constraint-based models predict metabolic and associated cellular functions
- (2014) Aarash Bordbar et al. NATURE REVIEWS GENETICS
- Chromosome position effects on gene expression in Escherichia coli K-12
- (2014) Jack A. Bryant et al. NUCLEIC ACIDS RESEARCH
- Gene Ontology Consortium: going forward
- (2014) NUCLEIC ACIDS RESEARCH
- UniProt: a hub for protein information
- (2014) NUCLEIC ACIDS RESEARCH
- Deciphering Fur transcriptional regulatory network highlights its complex role beyond iron metabolism in Escherichia coli
- (2014) Sang Woo Seo et al. Nature Communications
- TFpredict and SABINE: Sequence-Based Prediction of Structural and Functional Characteristics of Transcription Factors
- (2013) Johannes Eichner et al. PLoS One
- Towards revealing the functions of all genes in plants
- (2013) Seung Yon Rhee et al. TRENDS IN PLANT SCIENCE
- The COMBREX Project: Design, Methodology, and Initial Results
- (2013) Brian P. Anton et al. PLOS BIOLOGY
- Software for Computing and Annotating Genomic Ranges
- (2013) Michael Lawrence et al. PLoS Computational Biology
- Gap-filling analysis of the iJO1366 Escherichia coli metabolic network reconstruction for discovery of metabolic functions
- (2012) Jeffrey D Orth et al. BMC Systems Biology
- A Whole-Cell Computational Model Predicts Phenotype from Genotype
- (2012) Jonathan R. Karr et al. CELL
- EcoGene 3.0
- (2012) Jindan Zhou et al. NUCLEIC ACIDS RESEARCH
- EcoCyc: fusing model organism databases with systems biology
- (2012) Ingrid M. Keseler et al. NUCLEIC ACIDS RESEARCH
- NCBI GEO: archive for functional genomics data sets—update
- (2012) Tanya Barrett et al. NUCLEIC ACIDS RESEARCH
- Network Context and Selection in the Evolution to Enzyme Specificity
- (2012) H. Nam et al. SCIENCE
- Engineered reversal of the β-oxidation cycle for the synthesis of fuels and chemicals
- (2011) Clementina Dellomonaco et al. NATURE
- Phenotypic Landscape of a Bacterial Cell
- (2010) Robert J. Nichols et al. CELL
- COMBREX: a project to accelerate the functional annotation of prokaryotic genomes
- (2010) R. J. Roberts et al. NUCLEIC ACIDS RESEARCH
- From complete genome sequence to ‘complete’ understanding?
- (2010) Michael Y. Galperin et al. TRENDS IN BIOTECHNOLOGY
- Global Functional Atlas of Escherichia coli Encompassing Previously Uncharacterized Proteins
- (2009) Pingzhao Hu et al. PLOS BIOLOGY
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
- (2009) Ben Langmead et al. GENOME BIOLOGY
- WGCNA: an R package for weighted correlation network analysis
- (2008) Peter Langfelder et al. BMC BIOINFORMATICS
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