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
An NGS read trimming tool that is specific, sensitive, and speedy. (production)
A tool created to automatically remove silence from videos.
Trimming of images in the Defold atlas.
Straightforward & minimalistic removal of poorly aligned regions in sequence alignments.
Fast, private, local-first video cutter. Trim local files and YouTube clips without cloud uploads or downloading full videos. Powered by Python, FFmpeg, and yt-dlp.
Base-call error-filtering and read preprocessing pipeline for fastq libraries
Topology-aware cut-cell utilities for trimmed-domain kernel integration.
Adapter+Barcode trimming from Pacbio HiFi reads
A workflow designed to clean fastq files for the SEACONNECT project
Aplicação em Python para cortar video em partes de 15 segundos para ser postado no stories (Instagram). Application on Python to divide video in parts of 15 seconds each for posting on Stories(Instagram)
A Snakemake workflow for quality control assessment of Illumina NGS data using FastQC and MultiQC
Edit video files using Claude Code to automate cuts, color grading, subtitles, and animation rendering through natural language commands.
Trimports is a program which automatically removes unused imports from your Python script.
Latch workflow to run the fastp FASTQ pre-processor
Sequencing adapters and contaminants collected from different tools for easy download
FASTQ read trimming by the highest scoring path algorithm
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