There are 401 articles for you to read.

Peak and Motif analyses in Promoters

Author: gene_x

Abstract: * ./1_generate_promoter_sequences.py gencode.v43.annotation.gtf.db [1_generate_promoter_sequences.py](/static/peaks_and_motifs_in_promoters/1_generate_promoter_sequences.py "1_generate_promoter_sequ

Density of motif plots and its statistical tests

Author: gene_x

Abstract: [![Density_of_GRGGC_Motifs](/static/peaks_and_motifs_in_promoters/Density_of_GRGGC_Motifs.png "Density_of_GRGGC_Motifs")](/static/peaks_and_motifs_in_promoters/Density_of_GRGGC_Motifs.png "Density_of_

Small RNA processing

Author: gene_x

Abstract: Small RNA sequencing is a type of RNA-sequencing (RNA-seq) that specifically targets and sequences small RNA molecules in a sample. RNA-seq is a technique that uses next-generation sequencing (NGS) t

ChIP-seq using HOMER (-style factor, findPeaks + default getDifferentialPeaksReplicates.pl)

Author: gene_x

Abstract: 1. nextflow ChIP-seq run for NHDF_p783 #under Raw_Data for ChIP-seq ln -s ./230306_NB501882_0417_AHMVHHBGXN/2023_022_nf_denise/nf859/3_NHDF_Donor_1_p783_input_S5_R1_001.fastq.gz p783

Prepare the databases for vrap

Author: gene_x

Abstract: 1. I used an strategy, at first annotate the contigs using the virus-speicific data and bacteria-speicific data, then using more general databases nt and nr. The results are as attached. For some samp

Processing Spatial Transcriptomics Data Using Space Ranger

Author: gene_x

Abstract: Using spaceranger to process spatial transcriptomics data involves several steps, from preparing the necessary input files to running the analysis and interpreting the results. Below, I'll provide a c

How to Create a New User on Ubuntu Server?

Author: gene_x

Abstract: 1. Restricting User 'malawi' from Installing System-wide Programs and Verifying Permissions chmod o-rx /home/jhuang ls -ld /home/jhuang cd /home/jhuang groups malawi

ChIP-seq using HOMER (-stype histone, macs2 or SICER + custom getDifferentialPeaksReplicates_broad[narrow].pl)

Author: gene_x

Abstract: 1. nextflow processing data (chipseq) jhuang@hamm:/mnt/h1/jhuang/DATA/Data_Denise_LT_DNA_Binding/Histone-ChIP_hg38/H3K27ac_H3K4me1_public$ nextflow run NGI-ChIPseq/main.nf --reads '/mnt/h1/jh

sT manuscript revision: log2FC of sT itself at 3 and 8 dpt

Author: gene_x

Abstract: [![PCA_3D](/static/sT_revision/PCA_3D.png "PCA_3D")](/static/sT_revision/PCA_3D.png "PCA_3D") [![p604_d3_vs_p601_d3](/static/sT_revision/p604_d3_vs_p601_d3.png "p604_d3_vs_p601_d3")](/static/sT_revi

Kraken2 Installation and Usage Guide

Author: gene_x

Abstract: kraken2 --db Minikraken2_v2 input_sequences.fasta --output output.kraken2 kraken2 --db=/home/jhuang/Tools/k2_standard_20230605 --output=A10_output.txt --report=A10_report.txt --paired ./results_ATCC1


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