Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
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Updated
May 14, 2020 - Python
Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
Viral genomics analysis pipelines
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
My bioinfo toolbox
Benchmarking FASTQ compression with 'mature' compression algorithms
ILIAD: A suite of automated Snakemake workflows for processing genomic data for downstream applications
An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
Simulate metagenomic short reads from one or more populations.
MerCat: python code for versatile k-mer counting and diversity estimation for database independent property analysis for meta -ome data
This program dereplicates and/or filter nucleotide and/or protein database from a list of names or sequences (by exact match).
Pipeline for processing FASTQ data from an Illumina MiSeq to genotype human RNA viruses like HIV and hepatitis C
A collection of plots for long read sequencing FastQ files from devices like Oxford Nanopore's MinION and PromethION.
Sample an approximate number of reads from a fastq file without reading the entire file
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