Tazro Ohta

The paper introduces the GA4GH Workflow Execution Service API, which standardizes workflow execution across different compute environments and demonstrates its cross-site functionality.

CATaN integrates TF-GRNs and transcriptomes to identify genetic risk components across complex diseases, finding 588 significant CC components enriched for SNP heritability.

TFActProfiler improves TF activity inference and perturbation prediction using pre-trained TF-mRNA interactions and RNA-seq data without additional training.

The paper presents chromosome-level genome assemblies for two wild cherry species, revealing structural variations and insights into their evolutionary relationships.

This paper evaluates using large language models to extract biological terms from BioSample metadata, improving data findability and reusability.

The paper introduces a reproducibility scale to evaluate the reproducibility of biological interpretation results from data analysis workflows.

The paper introduces Yevis, a system that automatically validates and tests workflows to improve their reusability when shared.

The paper integrates thousands of epigenetic datasets into 707 cell-type regulatory annotations to improve the trans-ethnic portability of polygenic risk scores by prioritizing variants in IMPACT regulatory elements.

The paper develops CWL-metrics to analyze resource requirements of genomic workflows, enabling optimized cloud instance selection for cost and speed.

The paper integrates public ChIP-seq and DNase-seq data to identify transcription factor interactions and their association with disease risk loci in noncoding regions.