Alexander Sczyrba

This study identifies potential biomarkers for IBD diagnosis and monitoring through metaproteomics meta-analysis of over 600 samples.

The paper introduces a cloud-based metagenomics workflow with machine learning for resource allocation, demonstrating its efficiency on sewage samples.

The paper expands the global RNA virome by five-fold, identifying new clades of RNA bacteriophages and revealing novel virus-host interactions.

Haploflow assembles viral strain genomes from mixed samples, outperforming existing assemblers in speed and accuracy on benchmark datasets.

This tutorial explains how to use the CAMI benchmarking toolkit to evaluate metagenomics software performance using standardized datasets and metrics.

CAMISIM simulates microbial communities and metagenomes with truth standards, enabling benchmarking of metagenomic analysis tools.

AMBER evaluates genome binning tools using benchmark datasets and provides performance metrics and visualizations.

The paper benchmarks computational metagenomics software using complex datasets, showing strengths and limitations in assembly, binning, and taxonomic profiling.