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1 otential bias in the methods used to measure codon usage bias.
2  was put forward to explain the existence of codon usage bias.
3 ution between species than do genes with low codon usage bias.
4 elanogaster for distinct tissue responses to codon usage bias.
5  to use G/C-ending codons together with more codon usage bias.
6 d constraint appears to be a major driver of codon usage bias.
7  in different organisms, a phenomenon termed codon usage bias.
8 , more tRNA genes and more strongly selected codon usage bias.
9 errors can play an important role in shaping codon usage bias.
10 ated to but clearly distinct from individual codon usage bias.
11 fast-evolving nonsynonymous sites have lower codon usage bias.
12 re used to analyze both base composition and codon usage bias.
13 on of Li's protocol but that also allows for codon usage bias.
14 te the transition/transversion rate bias and codon usage bias.
15 osophila melanogaster have relatively higher codon usage biases.
16                                              Codon usage bias, a universal feature of all genomes, pl
17                               Differences in codon usage bias across genes reveal that weak selection
18  as expression-related or GC-content-related codon usage bias, also affect volatility.
19 ebserver service as a user-friendly tool for codon usage bias analyses across and within genomes in r
20 A codon usage bias pipeline is demanding for codon usage bias analyses within and across genomes.
21      Strong relationships between synonymous codon usage bias and estimates of transcript abundance s
22 other bacteria and, along with their similar codon usage bias and G + C content, suggests acquisition
23          The different relationships between codon usage bias and gene length observed in prokaryotes
24                       Genomic traits such as codon usage bias and genome size have been linked to bac
25  translational efficiency and accuracy drive codon usage bias and its coevolution with the tRNA pool.
26 tes, these footprints are seen in the higher codon usage bias and lower synonymous divergence.
27                         Finally, analyses of codon usage bias and RNA-editing processes of the conoto
28 ion of both selection and mutational bias on codon usage bias and suggest that codon usage and genome
29 s synthesized incorporating Escherichia coli codon usage bias and was used to express biologically ac
30 ation pattern or in tDNA copy number changed codon-usage bias and increased the K(S) distance between
31 orthologues in non-WGD species, we show that codon-usage bias and protein-sequence conservation are t
32 n bias is likely toward A+T (the opposite of codon usage bias), and not all amino acids display the p
33 oth yeast and fruit fly, spatial patterns of codon usage bias are characteristically different from p
34 tution rates and between synonymous rate and codon usage bias are important to our understanding of t
35 y to common belief, amino acid (AA) bias and codon usage bias are insufficient to create base-3 perio
36               This revealed that patterns of codon usage bias are strongly correlated with overall ge
37                                   Synonymous codon usage biases are associated with various biologica
38                          Differences between codon usage biases are attributed, in part, to changes i
39                                              Codon usage biases are found in all eukaryotic and proka
40                         We employ synonymous codon usage bias as a measure of translation rates and s
41                             Using synonymous codon usage bias as a measure of translation rates, we s
42 highly expressed proteins (with adherence to codon usage bias as a proxy for expressivity) to utilize
43  recombination, saturation, and variation in codon usage bias as factors contributing to this high le
44 sts itself even in the absence of synonymous codon usage bias at the 4-fold degenerate sites.
45  are an interesting system in which to study codon usage bias because of their length, expression, an
46  that the combination of nonsense errors and codon usage bias can have a large effect on the probabil
47 howing that fast-evolving genes have a lower codon usage bias, consistent with strong positive select
48 as used to test whether base composition and codon usage bias covary with arthropod association in th
49    Most previous studies of the evolution of codon usage bias (CUB) and intronic GC content (iGC) in
50  nonadaptive forces driving the evolution of codon usage bias (CUB) has been an area of intense focus
51                                              Codon usage bias (CUB) has been documented across a wide
52                                         This codon usage bias (CUB) is highly variable across species
53                                              Codon usage bias (CUB), where certain codons are used mo
54 ed with equal frequency, a phenomenon termed codon usage bias (CUB).
55 regarded as a model organism in the study of codon usage bias (CUB).
56 Surprisingly, we find that genes with higher codon usage bias display higher levels of intraspecific
57                               The synonymous codon usage bias (EN(C)) values suggest greater variabil
58 d nonsynonymous nucleotide substitutions and codon usage bias (ENC) were estimated for a number of nu
59 ce of organisms with varying GC composition, codon usage biases etc., and consequently gene identific
60 e of non-synonymous substitutions (d(N)) and codon usage bias (F(op)), showing that fast-evolving gen
61 nylation signal in the 3' UTR, a distinctive codon usage bias for A or T in the third position and an
62 ute the position-specific scoring matrix and codon usage bias for all such RNA sequences.
63                       Accurately quantifying codon usage bias for different organisms is useful not o
64                                              Codon usage bias has long been appreciated to influence
65                                              Codon-usage bias has been observed in almost all genomes
66 uggesting that genes with a higher degree of codon usage bias have evolved at a slower rate.
67 A evolution and confirm that genes with high codon usage bias have lower rates of synonymous substitu
68                            Quantification of codon usage bias helps understand evolution of living or
69 ncreases in S288c occur in genes with strong codon usage bias; (iii) genes under stronger negative se
70                                      Reduced codon usage bias in D. miranda may thus result from the
71 first review what is known about patterns of codon usage bias in Drosophila and make the following po
72                                              Codon usage bias in Drosophila melanogaster genes has be
73 thought to have contributed to the origin of codon usage bias in eukaryotes: 1) genome-wide mutationa
74 ntragenic spatial distribution of synonymous codon usage bias in four prokaryotic (Escherichia coli,
75 hts into protein maturation and homeostasis, codon usage bias in organisms, the origins of translatio
76 play a strong role in inflating the level of codon usage bias in rbcL, despite the fact that twofolds
77          Further, we find highly significant codon usage bias in regions downstream of the PTC in 38
78  tRNA genes, total number of rRNA genes, and codon usage bias in ribosomal protein sequences were all
79 n this study we reconstruct the evolution of codon usage bias in the chloroplast gene rbcL using a ph
80         Here, we show that there is a strong codon usage bias in the filamentous fungus Neurospora.
81                  Because a strong synonymous codon usage bias in the human DRD2 gene, suggesting sele
82                                      The low codon usage bias in the middle region is best explained
83 e water limited and pulse driven-have higher codon usage bias in their ribosomal protein genes.
84  show that in yeast and prokaryotic genomes, codon usage bias increases along translational direction
85  is negatively correlated with the degree of codon usage bias, indicating stronger selection on codon
86  we calibrated each genome in turn using the codon usage bias indices of highly expressed ribosomal p
87       We here introduce an explicit model of codon usage bias, inspired by statistical physics.
88                                   Synonymous codon usage bias is a broadly observed phenomenon in bac
89                                              Codon usage bias is a ubiquitous phenomenon, which may b
90                                              Codon usage bias is a universal feature of all genomes,
91                                              Codon usage bias is a universal feature of all genomes.
92                                              Codon usage bias is a universal feature of eukaryotic an
93                                              Codon usage bias is a universal feature of eukaryotic an
94                           The pattern of its codon usage bias is also consistent with that of HAV.
95                     It was demonstrated that codon usage bias is correlated positively with gene tran
96                                   Synonymous codon usage bias is determined by a combination of mutat
97 g translational accuracy hypothesis (TAH) of codon usage bias is higher translational accuracies of m
98 ffect of expression level on the strength of codon usage bias is more conspicuous than its effect on
99 host cell for protein translation, but their codon usage bias is often different from that of the hos
100                                              Codon usage bias is the nonrandom use of synonymous codo
101                           This suggests that codon usage bias may be constrained by particular amino
102 centralized repository of look-up tables and codon usage bias measures for a wide variety of genera,
103                                              Codon usage bias of 1,117 Drosophila melanogaster genes,
104 ibute significantly and about equally to the codon usage bias of a gene.
105 ino acids that contributed most to the total codon usage bias of each taxon are known through amino a
106  virus attenuation strategy makes use of the codon usage biases of human and avian influenza viruses
107 e usually encoded by optimal codons, yet the codon-usage bias of the kaiBC genes is not optimized for
108  optimization tool, ICOR, that aims to learn codon usage bias on a genomic dataset of Escherichia col
109                          Given the impact of codon usage bias on recombinant gene technologies, this
110  is effective only in the presence of strong codon-usage bias or protein-sequence conservation.
111                                            A codon usage bias pipeline is demanding for codon usage b
112                                              Codon usage biases play a significant role in determinin
113                  These results indicate that codon usage bias plays a more nuanced role in controllin
114 A variety of factors, including gene length, codon usage bias, protein abundance, protein function, a
115 , sampling to maximize sequence diversity or codon usage bias reduces performance substantially.
116  However, population-specific differences in codon usage biases remain largely unexplored.
117                                 In addition, codon usage biases result in nonuniform ribosome decodin
118                     The strength of selected codon usage bias, S, is found to vary substantially amon
119 ow a negative association with the degree of codon usage bias, suggesting that genes with a higher de
120 ymous to synonymous substitutions, and lower codon usage bias than other genes, suggesting that Cs is
121                       We employ a measure of codon usage bias that accounts for chloroplast genomic n
122                                              Codon usage bias, the preference for certain synonymous
123                                              Codon usage bias, the preferential use of particular cod
124                                              Codon usage bias-the preferential use of certain synonym
125 nergetically costly longer genes have higher codon usage bias to maximize translational efficiency.
126 p codons in ciliates may have coevolved with codon usage biases to avoid triplet repeat disorders med
127                             The gene shows a codon usage bias typical of non-nif and non-fix genes fr
128 e pattern of non-uniform codon use (known as codon usage bias) varies between organisms and represent
129 e conclusion that the formation of G. biloba codon usage bias was dominated by natural selection.
130 ationship between gene length and synonymous codon usage bias was investigated in Drosophila melanoga
131                                 Furthermore, codon usage bias was relaxed for these genes in post-WGD
132 redicted expression level of a gene based on codon usage biases was ascertained, such that predicted
133 efficiency, and the Hill-Robertson effect in codon usage bias, we studied the intragenic spatial dist
134                    Many genes exhibit little codon-usage bias, which is thought to reflect a lack of
135 nearly symmetric M-shaped spatial pattern of codon usage bias, with less bias in the middle and both
136  equally and highly significantly to overall codon usage bias, with the exception of Asp which had ve
137 mutational biases contribute to variation in codon usage bias within Drosophila species.

 
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