There are 377 articles for you to read.

Epidome processing

Author: gene_x

Abstract: 1. Raw_Data #Here are some more information on the two sample collections for epidome sequencing: 9+10+33=52 #Samples 7N-15N are nose swabs of 9 individual patients, and 16-20F/N are

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


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