S. Mangul

Analytical code sharing practices in biomedical research

This study analyzes code sharing practices in biomedical research and finds that less than half of manuscripts share analytical code, with significant associations between code availability statements and actual code sharing.

Unlocking the microblogging potential for science and medicine

The paper analyzes Twitter activity of 6,000 biomedical scientists, finding gender differences in tweeting behavior and engagement patterns.

Data availability of open T-cell receptor repertoire data, a systematic assessment

The paper assesses TCR repertoire data availability across 134 studies and finds 38.1% share raw data, with a significant link between data availability statements and data sharing.

Virtual meetings promise to eliminate the geographical and administrative barriers and increase accessibility, diversity, and inclusivity

This study examines the impact of virtual academic conferences during the COVID-19 pandemic, finding increased participation from underrepresented groups but also challenges in engagement and interaction, suggesting a hybrid format is preferable.

PUMA: A tool for processing 16S rRNA taxonomy data for analysis and visualization

PUMA streamlines 16S rRNA taxonomic data analysis by unifying multiple platforms and tools for efficient and reproducible microbiome research.

Profiling immunoglobulin repertoires across multiple human tissues by RNA Sequencing

The paper develops ImReP, a computational method to profile TCR and BCR repertoires from RNA-seq data, creating a large atlas of immunological sequences across 53 tissues.

Addressing the digital divide in contemporary biology: Lessons from teaching UNIX

The paper presents a training model to teach UNIX command-line tools to biomedical researchers with little to no prior knowledge.

Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia

The paper analyzes the transcriptome of whole blood to find increased microbial diversity in schizophrenia patients compared to controls and other neurological disorders.