Alexander Bartholomäus

The paper examines microbial diversity and community shifts in an oil reservoir under production, finding that water breakthrough alters community structure through sulfate-reducing bacteria rather than injected microbes.

The paper proposes a roadmap for fair reuse of public microbiome data by introducing a Data Reuse Information tag (DRI) to facilitate communication between data creators and consumers.

The paper compares microbial communities in crude oil and production water from oil fields, finding that crude oil samples better represent reservoir microbiomes than production water.

The paper recovers 447 eukaryotic bins from metagenomes, highlighting challenges in genome reconstruction and the need for improved methods and reference genomes.

OrtSuite predicts microbial interactions based on genomic content for specific ecosystem processes using ortholog clustering and user-defined functions.

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.

smORFer detects small ORFs in prokaryotes using a modular algorithm that integrates structural features and Fourier transform for accurate identification.