Viral genomics analysis pipelines
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Updated
Nov 3, 2020 - Python
Viral genomics analysis pipelines
Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
My bioinfo toolbox
Automated and customizable preprocessing of Next-Generation Sequencing data, including full (sc)ATAC-seq, ChIP-seq, and (sc)RNA-seq workflows. Works equally easy with public as local data.
Simple FASTQ quality assessment using Python
MerCat: python code for versatile k-mer counting and diversity estimation for database independent property analysis for meta -ome data
Pipeline for processing FASTQ data from an Illumina MiSeq to genotype human RNA viruses like HIV and hepatitis C
An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
This program dereplicates and/or filter nucleotide and/or protein database from a list of names or sequences (by exact match).
Benchmarking fastq compression with generic (mature) compression algorithms
Simulate metagenomic short reads from one or more populations.
⏩ Streamed and parallel demultiplexing of fastq files in python
Python package to trim and extract flags from FASTA and FASTQ files.
ILIAD: A suite of automated Snakemake workflows for processing genomic data for downstream applications
Sequence_Cleaner: Remove Duplicate Sequences, Short Sequences, etc
A scripts used to check the NGS (Next-generation sequencing) raw data quality of fastq formated files, similar to FastQC.
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