An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
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Updated
Mar 23, 2022 - C++
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An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
A comprehensive tutorial about GWAS and PRS
Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.
ExploreASL: releases can be found in the main branch or within the releases tab. If you want to contribute, please contact us at h.j.mutsaerts@amsterdamumc.nl. Development details can be found under the wiki tab. Code documentation can be found on the documentation website https://exploreasl.github.io/Documentation
Manuscript describing ChronQC is now available online in Bioinformatics
Create a cromphensive report of DEG list coming from any analysis of RNAseq data
Classifying, auto-encoding and reverse-engineering QUBO matrices
Quality control checks on continuous data. Example data is from a HOBO data logger with 30 minute intervals.
Methylation array preprocessing.
Fast and easy visualization of fMRI data quality using carpet plots.
A QC pipeline for SVs calls based on coverage and SNP calls
Checking the status of the CTD Reference database (RDB)
Implementation of qunatum clustering and hierarchical quantum clustering
Base-call error-filtering and read preprocessing pipeline for fastq libraries
A experiment to mod a 18W QC/FastCharge charger and power bank
CoalQC:Quality assessment of genomic datasets for Coalescent inferences
Tool kit for exploratory data analysis and usage of SwipesForScience JSON data, complete with anonymous sample data.
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In addition to the current acceptable arguments for
Q.Matrix, it ought to accept a Template literal (Template string) as a solo argument to make it trivially easy for something like this:This makes the task of creating arbitrary matrices much more human readable than passing nested Arrays, or even just a series of Arrays.