Investigating the predictability of essential genes across distantly related organisms using an integrative approach - Wikidata - awgldk - TriplyDB

Investigating the predictability of essential genes across distantly related organisms using an integrative approach

Investigating the predictability of essential genes across distantly related organisms using an integrative approach

http://www.wikidata.org/entity/Q34559562

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Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review Comparison of 432 Pseudomonas strains through integration of genomic, functional, metabolic and expression data Enzymes are enriched in bacterial essential genes Prediction and analysis of the protein interactome in Pseudomonas aeruginosa to enable network-based drug target selection Comparative genomics analysis of Mycobacterium ulcerans for the identification of putative essential genes and therapeutic candidates Reuse of public genome-wide gene expression data CEG: a database of essential gene clusters.Genome-wide essential gene identification in Streptococcus sanguinis.A statistical framework for improving genomic annotations of prokaryotic essential genes.Training set selection for the prediction of essential genes An Approach for Predicting Essential Genes Using Multiple Homology Mapping and Machine Learning Algorithms.Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks Predicting essential genes in prokaryotic genomes using a linear method: ZUPLS.Burkholderia cenocepacia conditional growth mutant library created by random promoter replacement of essential genes.From hub proteins to hub modules: the relationship between essentiality and centrality in the yeast interactome at different scales of organization.Geptop: a gene essentiality prediction tool for sequenced bacterial genomes based on orthology and phylogeny Prediction of essential proteins based on gene expression programming A new computational strategy for predicting essential genes.Putative essential and core-essential genes in Mycoplasma genomes Evolutionary conservation analysis between the essential and nonessential genes in bacterial genomes.Essentiality drives the orientation bias of bacterial genes in a continuous manner.Selection of key sequence-based features for prediction of essential genes in 31 diverse bacterial species Properties of genes essential for mouse development.Network rewiring is an important mechanism of gene essentiality change In silico prediction of antimalarial drug target candidates.Computational approaches to predicting essential proteins: a survey.An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.Advances and perspectives in computational prediction of microbial gene essentiality.Accurate prediction of human essential genes using only nucleotide composition and association information.Exploring the optimal strategy to predict essential genes in microbes.Developing genome-reduced Pseudomonas chlororaphis strains for the production of secondary metabolites.Partial AUC maximization for essential gene prediction using genetic algorithms Sequence-based information-theoretic features for gene essentiality prediction.Gene essentiality prediction based on fractal features and machine learning.A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes.Integrating and Mining Helminth Genomes to Discover and Prioritize Novel Therapeutic Targets

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Investigating the predictability of essential genes across distantly related organisms using an integrative approach

http://www.wikidata.org/entity/Q34559562

description

2010 nî lūn-bûn

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2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

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2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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Investigating the predictabili ...... using an integrative approach

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Investigating the predictabili ...... using an integrative approach

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Investigating the predictabili ...... using an integrative approach

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Investigating the predictabili ...... using an integrative approach

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Ali A Minai

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Daniel J Hassett

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Jingyuan Deng

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Lan Wei

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Lei Deng

http://www.w3.org/2001/XMLSchema#string

Long J Lu

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Minlu Zhang

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Shengchang Su

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Xiaodong Lin

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Evolutionary origins of genomic repertoires in bacteria.

Experimental Determination and System Level Analysis of Essential Genes in Escherichia coli MG1655

Genotype to phenotype: a complex problem

Unique features revealed by the genome sequence of Acinetobacter sp. ADP1, a versatile and naturally transformation competent bacterium

Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection

The 'effective number of codons' used in a gene

The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications

NCBI GEO: mining tens of millions of expression profiles--database and tools update

Essential Bacillus subtilis genes

A simple model based on mutation and selection explains trends in codon and amino-acid usage and GC composition within and across genomes

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795-807

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scholarly article

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10.1093/NAR/GKQ784

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3

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39

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20870748

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3035443

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