Jingcheng Yang

The paper introduces rNMPID, a database that compiles rNMP-embedment data across species, providing insights into their genomic characteristics and potential roles in disease.

This paper introduces Quartet DNA reference materials to comprehensively evaluate germline variant calling accuracy across the genome, including difficult regions and batch effects.

The Quartet Data Portal provides access to multi-omics reference materials and datasets, along with tools for quality control and community integration.

The paper evaluates seven batch-effect correction algorithms for multiomic data and finds the ratio-based method is more effective, especially when batch effects are confounded with biological factors.

The paper establishes reference materials and methods to assess inter-laboratory reliability and data integration in metabolomic profiling.

This paper introduces ratio-based multiomics profiling using universal reference materials to improve data integration across omics types and batches.

The paper introduces RNA reference materials and ratio-based datasets to improve the reliability and benchmarking of transcriptomic profiling.

BEdeepon predicts base editor efficiencies and outcome sequences using deep learning models trained on high-throughput screening data.

BEdeepoff predicts off-target editing efficiencies for ABE and CBE base editors using deep learning models trained on high-throughput screening data.