There are 326 articles for you to read.

Evaluating the Proximity of Genomic Features (=integration sites) to Peaks Using a Permutation Test genomic features

Author: gene_x

Abstract: The study revolves around the evaluation of the proximity of integration sites to peaks in the human genome, using a permutation-based approach. It involves three primary steps: 1. Observed Data: We

PiCRUST2 Pipeline for Functional Prediction and Pathway Analysis in Metagenomics

Author: gene_x

Abstract: [![error_bar](/static/images/error_bar.png "error_bar")](/static/images/error_bar.png "error_bar") How to run the software package PiCRUST2 (Phylogenetic Investigation of Communities by Reconstructio

Install and configure Docker for 'nextflow run nf-core/rnaseq'

Author: gene_x

Abstract: Install and configure that the packages for Docker (docker-ce, docker-ce-cli, and containerd.io): 1. Update your system's package information: sudo apt-get update 2. Uninstall any old versions of

Draw Venn Diagrams using matplotlib

Author: gene_x

Abstract: [![Venn_Diagram_NHDF_vs_HEK293_vs_PFSK-1](/static/venn_diagrams/Venn_Diagram_NHDF_vs_HEK293_vs_PFSK-1.png "Venn_Diagram_NHDF_vs_HEK293_vs_PFSK-1")](/static/venn_diagrams/Venn_Diagram_NHDF_vs_HEK293_vs

梅尔克细胞病毒小抗原通过类型I干扰素信号传导而促进免疫逃逸

Author: gene_x

Abstract: 详细解释:梅尔克细胞多瘤病毒(Merkel cell polyomavirus,MCPyV)的小肿瘤抗原(small tumor antigen,sT)是该病毒的一个重要组分,通过干扰类型I干扰素(type I interferon)信号传导来促进免疫逃逸。 类型I干扰素是免疫系统中的一类重要信号分子,对抗病毒感染和肿瘤发展起着关键作用。然而,MCPyV的小肿瘤抗原通过干扰类型I干扰素信号的正常

Calculate AT content of the flanking regions of peaks

Author: gene_x

Abstract: #!/usr/bin/env python3 #python3 plot_peaks.py peaks.bed /home/jhuang/REFs/gencode.v43.annotation.gtf.db /ref/Homo_sapiens/UCSC/hg38/Sequence/WholeGenomeFasta/genome.fa #~/Tools/csv2xls-0.4/csv_to_x

Tools for SNP Visualization

Author: gene_x

Abstract: For SNP visualization in Python, we can consider using the following packages: * Matplotlib: Matplotlib is a popular plotting library in Python that can be used to create various types of visualizati

RNAseq processing (1457)

Author: gene_x

Abstract: 1. construct DESeqDataSet from Matrix library("AnnotationDbi") library("clusterProfiler") library("ReactomePA") library("org.Hs.eg.db") library(DESeq2) library(gplots) library(ggplot2)

Exploring Integrative Analysis of Multi-Omics Data from Public Repositories

Author: gene_x

Abstract: 1. Integration and analysis of multi-omics data: Explore the integration of different types of omics data (e.g., genomics, transcriptomics, proteomics) from public repositories to uncover novel biolog

Defining and Categorizing Promoter Types Based on the 'GRGGC' Motif Frequency and Distance to TSS

Author: gene_x

Abstract: 1. generate_promter_sequences #!/usr/bin/env python3 #./1_generate_promoter_sequences.py gencode.v43.annotation.gtf.db import gffutils from pyfaidx import Fasta import argparse from Bio i


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