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
VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.
Classifying, auto-encoding and reverse-engineering QUBO matrices
Pycheron - A python library for quality control of seismic data based on IRIS Mustang.
GWAS QC, PCA, haplotype phasing, genotype imputation
The NiPreps' Reporting and Visualization system - report templates and "reportlets"
Writes all the jiggle bones in the blender 3.0+ *for source engine*
Processing suite for the Danish Digital Elevation Model
Deep learning of quality control for stereotaxic registration of human brain MRI
Base-call error-filtering and read preprocessing pipeline for fastq libraries
Toolbox for physiological data (Automagic) Quality Control
A workflow designed to clean fastq files for the SEACONNECT project
A tool to streamline .QC file production for model creation in the Source Engine
Base framework for creating semantic QC dashboards
Video Quality Control - finds Short Scene cut and Black frames (full black pixels)
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