Modular command-line solution for visualisation, quality control and taxonomic partitioning of genome datasets
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Updated
Mar 27, 2024 - Python
Modular command-line solution for visualisation, quality control and taxonomic partitioning of genome datasets
Simple statistical identification and removal of contaminants in marker-gene and metagenomics sequencing data
VerifyBamID2: A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.
Detecting contamination in NGS data and multi-species analysis
Repositorio para análisis y publicación de datos de contaminación en Andalucía
Consensus calling (or "reference assisted assembly"), chiefly of ancient mitochondria
Conta is an R package to detect cross contamination and source of contamination
Recentrifuge: robust comparative analysis and contamination removal for metagenomics
Analytical solutions for groundwater contaminant transport
Rapid and simple taxonomic profiling of genome and metagenome contigs
The LM Contamination Index is a manually created database of contamination evidences for LMs.
RawHash is the first mechanism that can accurately and efficiently map raw nanopore signals to large reference genomes (e.g., a human reference genome) in real-time without using powerful computational resources (e.g., GPUs). Described by Firtina et al. (published at https://academic.oup.com/bioinformatics/article/39/Supplement_1/i297/7210440)
This project is created by the Hao Lab at the Chemistry Department in George Washington University, Washington, D.C..(Publication pending) This project aims to provide contaminant protein FASTA and spectral libraries that can be universally applied to DDA and DIA proteomics and freely accessible for the proteomics community.
GRIMER performs analysis of microbiome studies and generates a portable and interactive dashboard integrating annotation, taxonomy and metadata with focus on contamination detection.
🗑️🦷 decOM 🦷🗑️
Remove human reads from a sequencing run
Godot educational game about oceans.
Reference-based, heuristic algorithm for identification of potential contaminants in mothur-formatted OTU tables
Module simulating groundwater flow and contaminant transport in multiple groundwater zones (saturated and unsaturated)
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