about
Comparison of correspondence analysis methods for synonymous codon usage in bacteriaThe impact of RNA structure on coding sequence evolution in both bacteria and eukaryotes.E-CAI: a novel server to estimate an expected value of Codon Adaptation Index (eCAI).Exploring codon optimization and response surface methodology to express biologically active transmembrane RANKL in E. coli.Relationship between amino acid composition and gene expression in the mouse genome.Forces that influence the evolution of codon bias.Quantification of codon selection for comparative bacterial genomicsHigh-quality gene assembly directly from unpurified mixtures of microarray-synthesized oligonucleotides.Evolutionary rates and gene dispensability associate with replication timing in the archaeon Sulfolobus islandicusComparative genomic analysis of the Streptococcus dysgalactiae species group: gene content, molecular adaptation, and promoter evolution.Genetic heterogeneity revealed by sequence analysis of Mycobacterium tuberculosis isolates from extra-pulmonary tuberculosis patientsNon-uniqueness of factors constraint on the codon usage in Bombyx mori.ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization.Predictive analytics of environmental adaptability in multi-omic network models.Novel methods to optimize gene and statistic test for evaluation - an application for Escherichia coli.OPTIMIZER: a web server for optimizing the codon usage of DNA sequences.CRISPR-Cas functional module exchange in Escherichia coli.HEG-DB: a database of predicted highly expressed genes in prokaryotic complete genomes under translational selection.Impact of translational selection on codon usage bias in the archaeon Methanococcus maripaludis.GEMBASSY: an EMBOSS associated software package for comprehensive genome analyses.Codon usage and amino acid usage influence genes expression level.Prediction and analysis of cell-penetrating peptides using pseudo-amino acid composition and random forest models.Identification of Xenologs and Their Characteristic Low Expression Levels in the Cyanobacterium Synechococcus elongatus.
P2860
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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-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
2006年學術文章
@zh-hant
name
Predicting gene expression level from codon usage bias.
@en
Predicting gene expression level from codon usage bias.
@nl
type
label
Predicting gene expression level from codon usage bias.
@en
Predicting gene expression level from codon usage bias.
@nl
prefLabel
Predicting gene expression level from codon usage bias.
@en
Predicting gene expression level from codon usage bias.
@nl
P356
P1476
Predicting gene expression level from codon usage bias
@en
P2093
Paul M Sharp
P356
10.1093/MOLBEV/MSL148
P50
P577
2006-10-12T00:00:00Z