out_info <- paste0(nrow(find),"个-GAPIT分析",paste0(var_info,collapse ="")) out_info <- substr(out_info,1,nchar(out_info)-1) } for (i in 1:nrow(out)){ if (identical(out$gene[i],job)){ out$additon[i] <- out_info break } } } 上述算法的核心是先从基因列表中取一个基...
(find_phe,collapse = "+")) if (find_snp[4]!=""){ find <- rbind(find,find_snp) } } if (nrow(find) == 0){ find <- matrix(ncol = 4,nrow = 0) colnames(find) <- c("snp","var","p","phe") for (i in 1:nrow(df)){ snp_name <- df$SNP[i] if (is.na(df$T_...
Define SNP. SNP synonyms, SNP pronunciation, SNP translation, English dictionary definition of SNP. n. A single site in any DNA sequence for which the identity of the nucleotide differs among individuals, often associated with a physiological variation,.
mydata=read.table("all_result.txt",header = T,sep = "\t") mydata$` ` <- paste(rep(" ", 20), collapse = " ") mydata$`OR (95% CI)` <- ifelse(is.na(mydata$or), "",sprintf("%.4f (%.4f - %.4f)", mydata$or, mydata$or_lci95, mydata$or_uci95)) forest(mydata...
return(paste(tem[2:length(tem)], collapse = "")) } 10. 迭代获取参考序列信息 使用一个循环来迭代处理每个变异位点,调用get_seq函数获取变异位点附近的参考序列信息,并将结果保存在filter_snp$out列中。 filter_snp$out <- NA for (i in 1:nrow(filter_snp)) { ...
find_snp <- c(snp_name,snp_var_en,"[P>7]",paste0(find_phe,collapse ="+")) if(find_snp[4]!=""){ find<- rbind(find,find_snp) } } if(nrow(find) ==0){ find<- matrix(ncol =4,nrow =0) colnames(find) <- c("snp","var","p","phe") ...
collapse all in page Description s_params_mp= snp2smp(s_params_np)convert and reorder the single-ended N-port S-parameters,s_params_np, into the single-ended M-port S-parameters,s_params_mp.Mmust be less than or equal toN. example ...
自从来到实验室,得到师兄流传下来的引物批量设计脚本后,就一直挂记于心。无奈当时python水平不好,实在看不太懂,故而一直念叨到了现在。其实我现在python水平也不咋地,因为相比于我熟悉的R来说,python实在太不顺手了。无论是从语言风格还是IDE风格上来说,我始终更喜欢R。其实如果R调用linux程序方便好用一点的话,我...
get_seq <- function(Chr, pos_a, pos_b) {cmd <- str_c(dir_samtools, " faidx ", ref, " ", Chr, ":", pos_a, "-", pos_b)tem <- system(cmd, intern = TRUE)return(paste(tem[2:length(tem)], collapse = ""))} 10. 迭代获取参考序列信息 ...
需要经过注释。注释主要包括基因定位、人群频率计算、进化保守性预测、蛋白功能影响预测等分析，才能用于遗传...