contamination

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

A Contamination-free Multi-task Language Understanding Benchmark [Official, ACL 2025]

verifyBamID2: A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.

Recentrifuge: robust comparative analysis and contamination removal for metagenomics

Detecting contamination in NGS data and multi-species analysis

The LM Contamination Index is a manually created database of contamination evidences for LMs.

RawHash can accurately and efficiently map raw nanopore signals to reference genomes of varying sizes (e.g., from viral to a human genomes) in real-time without basecalling. Described by Firtina et al. (published at https://academic.oup.com/bioinformatics/article/39/Supplement_1/i297/7210440).

[EMNLP 2023 Demo] "CLEVA: Chinese Language Models EVAluation Platform"

Remove human reads from a sequencing run

A Nextflow pipeline for evaluating assembly quality

mtDNA Variant Caller

This project is created by the Hao Lab at the Department of Chemistry & Biochemistry, University of Maryland, College Park, MD. 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.

Rapid and simple taxonomic profiling of genome and metagenome contigs

GRIMER performs analysis of microbiome studies and generates a portable and interactive dashboard integrating annotation, taxonomy and metadata with focus on contamination detection.

Detect contamination between training and evaluation splits - exact duplicates, near duplicates, and containment across split manifests.

Consensus calling (or "reference assisted assembly"), chiefly of ancient mitochondria

Module and script to remove contamination in assembled genomes before submission to ncbi

Flux contamination analysis (TESS)

Benchmarking different ways of doing read (taxonomic) classification, with a focus on removal of contamination and MTB classification