search for: codons

...in expression using either your own codon usage table or those from publicly available codon usage database. It can converts your amino acid sequence into a DNA sequence with overall codon usage similar to a specified organism, and also optimizes the RNA secondary structure, GC content, repetitive codons etc. Using Genscript optimized synthetic genes, many of our customers have reported dramatic increase on protein expression. The optimized gene can be synthesized by GenScript gene synthesis technology with 100% fidelity. The cost is as low as $2.35 per base pair. Our service is very flexible,...

...in expression using either your own codon usage table or those from publicly available codon usage database. It can converts your amino acid sequence into a DNA sequence with overall codon usage similar to a specified organism, and also optimizes the RNA secondary structure, GC content, repetitive codons etc. Using Genscript optimized synthetic genes, many of our customers have reported dramatic increase on protein expression. The optimized gene can be synthesized by GenScript gene synthesis technology with 100% fidelity. The cost is as low as $2.35 per base pair. Our service is very flexible,...

...NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA gga ggc ggg ggt gta gtc gtg gtt taa tac tag tat tca tcc tcg tct tga tgc tgg tgt NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA tta ttc ttg ttt NA NA NA NA it's telling me that there are no codons. I'm not sure how to split up the data or make this work at all. Any help appreciated. Aoife -- View this message in context: http://r.789695.n4.nabble.com/codon-usage-bias-tp4431740p4431740.html Sent from the R help mailing list archive at Nabble.com.

 Sir,  I am a student in biostat and bioinformatics.  I am interested to use R for my research work related to codon usage analysis.This software was used in a publication entitled " Online synonymous codon usage analyses with the ade4 and seqinR packages" and a weblink  http://pbil.univ-lyon1.fr/datasets/charif04/ was given for readers to use the program. Now  I would like to use the

Hi Dave, ----- Mail original ----- > Changes since v1: [...] > diff --git a/drm/nouveau/nouveau_vga.c b/drm/nouveau/nouveau_vga.c > index 9a6328f..7b13804 100644 > --- a/drm/nouveau/nouveau_vga.c > +++ b/drm/nouveau/nouveau_vga.c > @@ -36,7 +36,7 @@ nouveau_switcheroo_set_state(struct pci_dev *pdev, > { > struct drm_device *dev = pci_get_drvdata(pdev); > > - if

HI, Dear R community, My original file has 1932 lines, but when I read into R, it changed to 1068 lines, how comes? cdu@nuuk:~/operon$ wc -l id_name_gh5.txt 1932 id_name_gh5.txt > gene_name<-read.table("/home/cdu/operon/id_name_gh5.txt", sep="\t", skip=0, header=F, fill=T) > dim(gene_name) [1] 1068 3 -- Sincerely, Changbin -- Changbin Du DOE Joint Genome

Hi all, Given a matrix: > mat [,1] [,2] [,3] [1,] 0 0 0 [2,] 3 3 3 [3,] 1 1 1 [4,] 2 1 1 How can I convert it to a list of strings: > desired_output [1] "aaa" "ttt" "ccc" "gcc" In principle: 1. Number of Column in matrix = length of string (= 3) 2. Number of Row in matrix = length of vector ( = 4). 3.

Hi, I tried to configure the new idmap interface. Currently without much success. I have two samba domains, trusting each other. Each PDC using it's own LDAP server. I tried idmap domains = DOM1, DOM2 idmap config DOM1:default = yes idmap config DOM1:backend = ldap idmap config DOM1:ldap_base_dn = ou=Idmap,dc=dom1,dc=mydomain,dc=de idmap config

...0,(286:5.0,287:5.0,288:5.0,289:5.0,290:5.0,291:5.0,292:5.0,293:5.0,294:5.0,295:5.0,296:5.0):2.0):10.0):0.4):0.7):0.6):1.1; END; BEGIN ASSUMPTIONS; TYPESET * UNTITLED (CHARACTERS = Categorical) = unord: 1 - 7; TYPESET * UNTITLED (CHARACTERS = Continuous) = Squared: 1 - 10; END; BEGIN CODONS; CODESET * UNTITLED (CHARACTERS = Categorical) = universal: 1 - 7; END; BEGIN MESQUITECHARMODELS; ProbModelSet * UNTITLED (CHARACTERS = Categorical) = 'Mk1 (est.)': 1 - 7; ProbModelSet * UNTITLED (CHARACTERS = Continuous) = Brownian_default: 1 - 10; END; Begin MESQUITE;...

hello i have a mixed effect model which gives slope and intercept terms for 6 groups (diagnosis (3 levels) by risk group(2 levels)). the fixed part of the model is -- brain volume ~ Diagnosis + Risk Group + (Risk Group * age : Diagnosis) - 1 thus allowing risk group age/slope terms to vary within diagnosis and omitting a nonsignificant diagnosis by risk group intercept (age was centered)

Greetings, I'm trying to track down and eliminate the sources of excessive disk activity in an idle system that is resulting in premature hard disk failure. Access time updates to inodes turned out to be the worst culprit, triggering writes every 35 seconds or so. Mounting filesystems with the noatime option fixed that problem. But not too far behind inode updates is the frequent