Our new article has been accepted in Molecular Ecology: Sperlea T, Kreuder N, Beisser D, Hattab G, Boenigk J, Heider D: Quantification of the covariation of lake microbiomes and environmental variables using a machine learning-based framework. Molecular Ecology 2021, 30(9):2131-2144. (Link) Abstract It is known that microorganisms are essential for the functioning of ecosystems, but…
Our new article has been accepted in Scientific Reports: Wagner D, Heider D, Hattab G. Mushroom data creation, curation, and simulation to support classification tasks. Scientific reports. 2021 Apr 14;11(1):1-2. (Link) Abstract Predicting if a set of mushrooms is edible or not corresponds to the task of classifying them into two groups—edible or poisonous—on the…
Dominik gave a talk on „Demystifying Artificial Intelligence“ at the Global Pregnancy CoLab Monthly Webinar 2021 Using Artificial Intelligence (AI) and Innovative Strategies to Study Adverse Pregnancy Outcomes February 25, 2021
Dominik gave a talk at TMF – Technologie- und Methodenplattform für die vernetzte medizinische Forschung: CORDITE – Corona Drug Interactions Database Since the outbreak in 2019, researchers are trying to find effective drugs against the SARS-CoV-2 virus based on de novo drug design and drug repurposing. The former approach is very time consuming and needs…
Georges gave a talk at KoBIS: Hidden Data Facets in Bioinformatics All data has hidden facets. Whether it is the space of representation or the different data, different constraints determine how we think about it. In this talk, these constraints from different fields of knowledge will be addressed, in particular bioinformatics approaches and workflows. The…
Our new article has been accepted in BMC Bioinformatics: Welzel M, Lange A, Heider D, Schwarz M, Freisleben B, Jensen M, Boenigk J, Beisser D: Natrix: a Snakemake-based workflow for processing, clustering, and taxonomically assigning amplicon sequencing reads. BMC Bioinformatics 2020, 21:526. (Link) Abstract Background Sequencing of marker genes amplified from environmental samples, known as…
Anne-Christin gave a talk on „Federated random forest for privacy-preserving machine learning in medicine“ at the 2nd Bioinformatics Workshop, EG-CompBio Empowering, Egypt EG-CompBio is a project for empowering computational biology research in Egypt and for communicating scientific advances. In cooperation with the BES team at MUST University, The executive team of the EG-CompBio project “Empowering…
Our new article has been accepted in PLoS Computational Biology: Hattab G, Rhyne TM, Heider D: Ten simple rules to colorize biological data visualization. PLoS Comput Biol. 2020, 16(10):e1008259. (Link) Methods for visualization of biological data continue to improve, but there is still a fundamental challenge in colorization of these visualizations (vis). Visual representation of…
Dominik gave a talk on „Machine Learning and Clinical Diagnosis“ at the Global Pregnancy CoLab Virtual Conference 2020 Using Artificial Intelligence (AI) and Innovative Strategies to Study Adverse Pregnancy Outcomes September 9 & 10, 2020
Our new article has been accepted in Cell iScience: Martin R, Löchel HF, Welzel M, Hattab G, Hauschild AC, Heider D: CORDITE: the curated CORona Drug InTERactions database for SARS-CoV-2. Cell iScience 2020 (Link) Abstract Since the outbreak in 2019, researchers are trying to find effective drugs against the SARS-CoV-2 virus based on de novo…
