Build Docker container for FastQC software and (optionally) convert to Apptainer/Singularity.
-
Updated
Feb 15, 2023 - Dockerfile
Build Docker container for FastQC software and (optionally) convert to Apptainer/Singularity.
Genomic Analysis Pipeline: Automate data preprocessing, variant calling, and annotation with Snakemake. Ensure reproducibility and reliability in genomic studies.
An R package to parse and manage text output of the sequencing quality control utility (fastQC)
Walks through installation and usage of FASTQC, MultiQC, Trimmomatic, and Salmon for transcriptomic data preprocessing. Includes Grid Engine shell scripts that can be looped over many files in a directory.
A nextflow pipeline for analysis and visualisation of NGS data using FastQC and Python Ploty Dash.
The repository contain directories of projects done during the bioinformatics degree program
Script to clean Illumina pair-end sequences produced with the Nextera kit. Bases below Q30, Ns, and Nextera adapters are removed. Bases can also be removed at the beginning and end of each sequence. At the end, clean files can be analyzed with FastQC.
Tools to analyze fasta or fastaq files with python.
Count your fastq-formatted rna-seq reads with Salmon
Demultiplexing pipeline for sequencing data
Exploring Bioinformatics pipelines
Classification of RNA-Seq samples using circRNA expression
A script that efficiently processes multiple '.fastq' files, automatically organizing the pre-trimmed output into a folder named 'qc_reports_pretrim' for streamlined quality control and sequence data analysis.
Add a description, image, and links to the fastqc topic page so that developers can more easily learn about it.
To associate your repository with the fastqc topic, visit your repo's landing page and select "manage topics."