NFDB (Nitrogen Fixation DataBase)-a comprehensive integrated database for robust 'omics analysis of diazotrophs.

Biological nitrogen fixation is a fundamental biogeochemical process that transforms molecular nitrogen into biologically available nitrogen via diazotrophic microbes. Diazotrophs anaerobically fix nitrogen using the nitrogenase enzyme which is arranged in three different gene clusters: (i) molybdenum nitrogenase () is the most abundant, followed by it's alternatives, (ii) vanadium nitrogenase () and (iii) iron nitrogenase (). Multiple databases have been constructed as resources for diazotrophic 'omics analysis; however, an integrated database based on whole genome references does not exist.

MerCat2: a versatile -mer counter and diversity estimator for database-independent property analysis obtained from omics data.

Motivation: MerCat2 ("Mer-Catenate2") is a versatile, parallel, scalable and modular property software package for robustly analyzing features in omics data. Using massively parallel sequencing raw reads, assembled contigs, and protein sequences from any platform as input, MerCat2 performs -mer counting of any length , resulting in feature abundance counts tables, quality control reports, protein feature metrics, and graphical representation (i.e.

DISCOVER-EEG: an open, fully automated EEG pipeline for biomarker discovery in clinical neuroscience.

Biomarker discovery in neurological and psychiatric disorders critically depends on reproducible and transparent methods applied to large-scale datasets. Electroencephalography (EEG) is a promising tool for identifying biomarkers. However, recording, preprocessing, and analysis of EEG data is time-consuming and researcher-dependent.

Regional biogeography versus intra-annual dynamics of the root and soil microbiome.

Background: Root and soil microbial communities constitute the below-ground plant microbiome, are drivers of nutrient cycling, and affect plant productivity. However, our understanding of their spatiotemporal patterns is confounded by exogenous factors that covary spatially, such as changes in host plant species, climate, and edaphic factors. These spatiotemporal patterns likely differ across microbiome domains (bacteria and fungi) and niches (root vs.