Chuming Chen


I am a Research Assistant Professor of Computer and Information Sciences at University of Delaware and Senior Bioinformatician at Protein Information Resource. I have conducted Bioinformatics research for 11 years and have a broad background in software engineering, database and web development, and bioinformatics analysis. I previously worked at NHLBI Cardiovascular Proteomics Center at the Medical University of South Carolina and have developed bioinformatics infrastructure for 2D Gel and Mass-spectrometry based proteomics data management and analysis. After joining the Center for Bioinformatics and Computational Biology and Protein Information Resource, my research and development have focused on computational genomics and proteomics for statistical and bioinformatics analysis of high-throughput data, particularly next-generation sequencing (NGS) data analysis in precision medicine. I am the co-editor of a book entitled “Bioinformatics for Comparative Proteomics”. I have worked on Rule based automated annotation system for UniProtKB and have developed algorithms and procedures to compute Representative Proteomes. I also developed algorithm and web site for fast Peptide Match of UniProtKB protein sequences. I served as the program committee of conferences and reviewer of journal articles.

Research Fields

Information and Computing Sciences

Editorial Board Memberships

Chuming is not currently contributing as an editor for any journal or publisher.

Pre Publication Reviews

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Reviews (last 12 months)


Reviews (average per year)






Acceptance rate


Review to Publication ratio


Impact factors of journals reviewed for

The distribution of the impact factors of journals Chuming Chen has reviewed for.

Chuming Chen

Biochemistry, Genetics and Molecular Biology (all) reviewers

Total reviews over time

A cumulative record of Chuming Chen's total number of reviews.

Reviews per month

The total number of reviews performed by Chuming Chen each month.

Average review length

The average number of words per review (for which we have content), compared to the average of Biochemistry, Genetics and Molecular Biology (all) reviewers and the average of reviewers at affiliated institutions.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to Biochemistry, Genetics and Molecular Biology (all) reviewers and reviewers at affiliated institutions.