Author: gene_x

Abstract: # 🔬 癌症驱动基因与突变分析流程总览 ## 一、常见癌症的驱动基因（Driver Genes） | 癌症类型 | 常见驱动基因 | 说明 | |----------------|-----------------------------------

Author: gene_x

Abstract: author: "" date: '`r format(Sys.time(), "%d %m %Y")`' header-includes: - \usepackage{color, fancyvrb} output: rmdformats::readthedown: highlight: kate number_

Author: gene_x

Abstract: # https://bioconductor.org/packages/release/bioc/vignettes/MicrobiotaProcess/inst/doc//MicrobiotaProcess.html # ----------------------------------- # ---- prepare the R environment ----

Author: gene_x

Abstract: 0. Vorgabe #perform PCA analysis, Venn diagram analysis, as well as KEGG and GO annotations. We would also appreciate it if you could include CPM calculations for this dataset (gene_cpm_count

Author: gene_x

Abstract: 1. Preparing raw data They are wildtype strains grown in different medium. Urine - human urine AUM - artificial urine medium MHB - Mueller-Hinton broth Urine（人

Author: gene_x

Abstract: 1. Input data # name condition # ---------------------------------------------- # 0403_WaGa_wt parental_cells_1.fastq.gz # #050

Author: gene_x

Abstract: 1. Prepare input raw data /mnt/md1/DATA/Data_Sophie_HDV_Sequences/raw_data for f in *_R[12]_001.fastq.gz; do newname="$(echo "$f" | awk -F_ '{print $1 "_" $4 ".fastq.gz"}')"; echo mv

Author: gene_x

Abstract: 1. Environment Setup: It sets up a Conda environment named picrust2, using the conda create command and then activates this environment using conda activate picrust2. #https://github.com/picr

Author: gene_x

Abstract: 1. Install and test qiime2-docker #Cannot run under QIIME1, switch to QIIME2: pick_open_reference_otus.py -r/home/jhuang/REFs/SILVA_132_QIIME_release/rep_set/rep_set_16S_only/99/silva_132_99_

Author: gene_x

Abstract: 1. Input data: ln -s ../raw_data_2024/hCoV229E_Rluc_R1.fastq.gz hCoV229E_Rluc_R1.fastq.gz ln -s ../raw_data_2024/hCoV229E_Rluc_R2.fastq.gz hCoV229E_Rluc_R2.fastq.gz ln -s ../r