Results 61 to 70 of about 36,066 (191)

Evolutionary pressures on the yeast transcriptome [PDF]

open access: yes, 2015
Codon usage bias (CUB) is the well known phenomenon that the frequency of synonymous codons is unequal. This is presumably the result of adaptive pressures favouring some codons over others.
Chu, Dominique, Salykin, Anton
core   +1 more source

Comprehensive Genomics Investigation of Neboviruses Reveals Distinct Codon Usage Patterns and Host Specificity

open access: yesMicroorganisms
Neboviruses (NeVs) from the Caliciviridae family have been linked to enteric diseases in bovines and have been detected worldwide. As viruses rely entirely on the cellular machinery of the host for replication, their ability to thrive in a specific host ...
Rahul Kaushik   +8 more
doaj   +1 more source

Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues

open access: yesBMC Genomics, 2021
Background Infectious bronchitis virus (IBV) is one of the most relevant viruses affecting the poultry industry, and several studies have investigated the factors involved in its biological cycle and evolution.
Giovanni Franzo   +3 more
doaj   +1 more source

A condition-specific codon optimization approach for improved heterologous gene expression in Saccharomyces cerevisiae [PDF]

open access: yes, 2014
All authors are with the Department of Chemical Engineering, The University of Texas at Austin, 200 E Dean Keeton St. Stop C0400, Austin, TX 78712, USA -- Hal S.
Alper, Hal S.   +3 more
core   +3 more sources

Predicting Gene Expression Level from Codon Usage Bias

open access: yesMolecular Biology and Evolution, 2006
The "expression measure" of a gene, E(g), is a statistic devised to predict the level of gene expression from codon usage bias. E(g) has been used extensively to analyze prokaryotic genome sequences. We discuss 2 problems with this approach. First, the formulation of E(g) is such that genes with the strongest selected codon usage bias are not likely to
Ian, Henry, Paul M, Sharp
openaire   +2 more sources

Modelling the Efficiency of Codon–tRNA Interactions Based on Codon Usage Bias [PDF]

open access: yesDNA Research, 2014
The tRNA adaptation index (tAI) is a widely used measure of the efficiency by which a coding sequence is recognized by the intra-cellular tRNA pool. This index includes among others weights that represent wobble interactions between codons and tRNA molecules.
Sabi, Renana, Tuller, Tamir
openaire   +2 more sources

Codon usage biases co-evolve with transcription termination machinery to suppress premature cleavage and polyadenylation

open access: yeseLife, 2018
Codon usage biases are found in all genomes and influence protein expression levels. The codon usage effect on protein expression was thought to be mainly due to its impact on translation.
Zhipeng Zhou   +4 more
doaj   +1 more source

PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets [PDF]

open access: yes, 2019
Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensively used for identification of lncRNAs.
Deshpande, Sumukh   +4 more
core   +4 more sources

Gaining insights into the codon usage patterns of TP53 gene across eight mammalian species. [PDF]

open access: yesPLoS ONE, 2015
TP53 gene is known as the "guardian of the genome" as it plays a vital role in regulating cell cycle, cell proliferation, DNA damage repair, initiation of programmed cell death and suppressing tumor growth.
Tarikul Huda Mazumder   +1 more
doaj   +1 more source

Application of The Method of Elastic Maps In Analysis of Genetic Texts [PDF]

open access: yes, 2003
- Method of elastic maps ( http://cogprints.ecs.soton.ac.uk/archive/00003088/ and http://cogprints.ecs.soton.ac.uk/archive/00003919/ ) allows us to construct efficiently 1D, 2D and 3D non-linear approximations to the principal manifolds with different ...
Gorban, Alexander N.   +2 more
core   +3 more sources

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