Author: gene_x

Abstract: 2023-10-10 16:18:07 星期二 Net-seq（原位延伸转录测序）是一种用于以核苷酸分辨率跨基因组分析RNA聚合酶（Pol）活性的方法。以下是Net-seq的简要概述： 目的: Net-seq旨在捕获并测序仍与RNA聚合酶结合在一起的活跃转录过程中的RNA的3'末端。这有助于创建跨基因组的活跃转录位点的高分辨率图。 工作原理: * 从细胞中提取RNA聚合酶及其绑定的RN

Author: gene_x

Abstract: 1. Set up the directory for raw data. #Replace "p600" with "control", "p602" with "LT", "p605" with "LTtr", and "p783" with "K331A". Please note that the RNAseq data from the LT_K331A_d8 repl

Author: gene_x

Abstract: snapnames、namejet、dropcatch、youdot、mediaon、namecatch、name、domainmonster、hexonet、xz、epik、pool、asiaregister、dynadot、pheenix2、backorder、godaddy、ename、flappy、hupo、hooyoo、Juming、west263、yijie、cndns、bizcn、z

Author: gene_x

Abstract: Statistical analysis on LC-MS data In order to detect significant changes between two experimental groups we performed statistical analysis on LC-MS data. We have chosen LIMMA moderated t test statis

Author: gene_x

Abstract: library("rmarkdown") library("tidyverse") library(rmarkdown) setwd("/home/jhuang/DATA/Data_Susanne_Carotis_MS/LIMMA-pipeline-proteomics/Results_20231006_165122") # -1. prepare

Author: gene_x

Abstract: In the context of differential expression analysis, limma is a popular R package that originally was designed for microarray data but has since been adapted for RNA-seq data (using voom transformation

Author: gene_x

Abstract: library("rmarkdown") library("tidyverse") library(rmarkdown) library("GeomxTools") library("GeoMxWorkflows") library("NanoStringNCTools") setwd("/home/jhuang/DATA/Data_Susa

Author: gene_x

Abstract: #------------------------------ #---- 1. prepare gene sets ---- library(org.Hs.eg.db) library(dplyr) library(AnnotationDbi) #1. Platelets data <- data.frame(

Author: gene_x

Abstract: Gene Set Variation Analysis (GSVA) is a non-parametric and unsupervised method used for estimating the variation of gene set enrichment through the samples of a gene expression matrix. Given its natur

Author: gene_x

Abstract: > http://xgenes.com/article/article-content/162/yersinia-outer-proteins-yops-analysis/ 1. extract all plasmids of the 50 isolates with plasmids but no yopK python3 extract_plasmids_from_gff.