Abstract Machine learning is increasingly important in microbiology where it is used for tasks
such as predicting antibiotic resistance and associating human microbiome features with …

Next-generation sequencing (NGS) technology has advanced our understanding of the
human microbiome by allowing for the discovery and characterization of unculturable …

Microbiome studies have become routine in biomedical, agricultural and environmental
sciences with diverse aims, including diversity profiling, functional characterization, and …

Abstract UNITE (https://unite. ut. ee) is a web-based database and sequence management
environment for molecular identification of eukaryotes. It targets the nuclear ribosomal …

Studies using 16S rRNA and shotgun metagenomics typically yield different results, usually
attributed to PCR amplification biases. We introduce Greengenes2, a reference tree that …

We introduce DS-1000, a code generation benchmark with a thousand data science
problems spanning seven Python libraries, such as Numpy and Pandas. Compared to prior …

Alzheimer's disease is a complex neurodegenerative disorder leading to a decline in
cognitive function and mental health. Recent research has positioned the gut microbiota as …

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by
heterogeneous cognitive, behavioral and communication impairments. Disruption of the gut …

The data output from microbiome research is growing at an accelerating rate, yet mining the
data quickly and efficiently remains difficult. There is still a lack of an effective data structure …

OmicStudio focuses on speed, quality together with flexibility. Generally, OmicStudio can not
only meet the users' demand of ordinary bioinformatics data analysis, statistics, and …