Author: gene_x

Abstract: The code provided is designed to annotate a list of genes by fetching associated gene information from the Ensembl database. Starting with the biomaRt library, it connects to the Ensembl dataset speci

Author: gene_x

Abstract: 1. Update the Model: In your model (tools/models.py), add the charge and proportion fields to the ProteinChargeCalculator model: # tools/models.py from django.db import models

Author: gene_x

Abstract: > Using Model 1. Define your model: #In course/models.py: from django.db import models class Message(models.Model): content = models.TextField() cre

Author: gene_x

Abstract: Below is a simple Django view that handles both GET and POST requests. This view will render a basic HTML form on a GET request and process the form submission on a POST request: 1. First, let's crea

Author: gene_x

Abstract: xrandr Screen 0: minimum 8 x 8, current 3840 x 1080, maximum 16384 x 16384 VGA-0 connected primary 1920x1080+0+0 (normal left inverted right x axis y axis) 521mm x 293mm 1920x1080

Author: gene_x

Abstract: #install.packages("readxl") library(readxl) # Path to the Excel file file_path <- "Signatures.xls" #example of a signature: #geneSymbol geneEntrezID ENSEMBL GeneSet

Author: gene_x

Abstract: This script is structured to process gene expression data, specifically DEGs (Differentially Expressed Genes) and create a heatmap visualizing the patterns of the data. The steps involved are as follo

Author: gene_x

Abstract: T cells and B cells interact in several ways as part of the immune response. Here's a general overview of their interaction: Antigen presentation: When a pathogen invades the body, it is engulfed by

Author: gene_x

Abstract: 1. nextflow processing data V_8_1_6_p601_d8_D1_H3K4me3.fastq.gz,V_8_1_6_p601_d8_D1_input.fastq.gz,p601_H3K4me3_D1 V_8_1_5_p601_d8_D2_H3K4me3.fastq.gz,V_8_1_5_p601_d8_D2_input.fastq.gz

Author: gene_x

Abstract: 1. install conda environment rnaseq_2021 conda create -n rnaseq_2021 python=3.6.7 conda activate rnaseq_2021 conda install -c conda-forge -c bioconda -c defaults nextflow=21.04 fastqc=0.11.8 t