A5056202334- Scientific Computing and Data Management
- Research Data Management Practices
- Cell Image Analysis Techniques
- Bacterial biofilms and quorum sensing
- Antimicrobial Peptides and Activities
- Antibiotic Resistance in Bacteria
- Biomedical Text Mining and Ontologies
Icahn School of Medicine at Mount Sinai
2025
University of Southern California
2021-2024
Sichuan Agricultural University
2021
Abstract Immunotherapies like immune checkpoint inhibitors (ICIs) have changed the standard of care for cancer patients, often leading to durable responses. However, many patients remain or become refractory ICIs owing factors such as a lack primed neoantigen-reactive T cells. We developed peptide-based vaccination platform that utilizes fully personalized genome vaccines (PGV) and targets neoantigens predicted by our OpenVax computational pipeline. Here we report results from PGV001 study...
Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, lack practices sharing research outputs, such data, source code and methods, affects transparency reproducibility studies, which are critical advancement science. Many published studies not reproducible due insufficient documentation, code, shared. We conducted a comprehensive 453 manuscripts between 2016–2021 found that 50.1% them...
Modern data-driven research increasingly depends on quantitative analysis, yet effectivemechanisms ensuring data and analysis transparency reproducibility are to be developedand adopted widely. The importance benefits of sharing products has beenrecognized widely by the scientific community. In biomedical research, it is not only imperativeto publish a detailed description study design, methodology, results interpretation, butthere pressing need make all publicly available, shareable,...
Abstract Recent advances in high-throughput sequencing technologies have made it possible to collect and share a massive amount of omics data, along with its associated metadata. Enhancing metadata availability is critical ensure data reusability reproducibility facilitate novel biomedical discoveries through effective reuse. Yet, incomplete accompanying public limits the millions samples. In this study, we performed comprehensive assessment completeness shared both scientific publications...
The drug resistance of Pseudomonas aeruginosa is a worldwide problem due to its great threat human health. A crude extract Angelica dahurica has been proved have antibacterial properties, which suggested that it may be able inhibit the biofilm formation P. aeruginosa; initial exploration had shown could growth effectively. After adaptive dose coumarin was confirmed potential treatment for bacteria’s resistance, “coumarin-antibiotic combination treatments” (3 coumarins—simple coumarin,...
Abstract Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, lack practices sharing research outputs, such data, source code and methods, affects transparency reproducibility studies, which are critical advancement science. Many published studies not reproducible due insufficient documentation, code, shared. We conducted a comprehensive 453 manuscripts between 2016-2021 found that...
Modern data-driven research increasingly depends on quantitative analysis, yet effectivemechanisms ensuring data and analysis transparency reproducibility are to be developedand adopted widely. The importance benefits of sharing products has beenrecognized widely by the scientific community. In biomedical research, it is not only imperativeto publish a detailed description study design, methodology, results interpretation, butthere pressing need make all publicly available, shareable,...