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RNA-seq processing for control-LT-LTtr-K331A

作者: gene_x

概要:

#nextflow run rnaseq --reads '/home/jhuang/DATA/Data_Denise_tx_epi

Native elongating transcript sequencing (NET-seq)

作者: gene_x

概要:

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

SPANDx Genomic Profiling: Verifying LTtr and K331A RNASeq Mutations

作者: gene_x

概要:

1. Set up the directory for raw data.

#Replace "p600" with "c

域名预订类型

作者: gene_x

概要:

snapnames、namejet、dropcatch、youdot、mediaon、namecatch、name、domainmonste

LIMMA pipeline processing proteomics (MS)

作者: gene_x

概要:

Statistical analysis on LC-MS data

In order to detect significant cha

GSVA calculation for Mass spectrometry (MS)-based proteomics

作者: gene_x

概要:

library("rmarkdown")
library("tidyverse")
library(rmarkdow

Ordinary vs. Moderated P-values: A Key Comparison in limma Differential Expression Analysis

作者: gene_x

概要:

In the context of differential expression analysis, limma is a popular

GSVA calculation for NanoString data

作者: gene_x

概要:

library("rmarkdown")
library("tidyverse")
library(rmarkdow

GSVA calculation for RNA-seq data

作者: gene_x

概要:

#------------------------------
#---- 1. prepare gene sets ---

Should the inputs for GSVA be normalized or raw?

作者: gene_x

概要:

Gene Set Variation Analysis (GSVA) is a non-parametric and unsupervise

gene_x

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