I am a Research Associate 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.
Editorial Board Memberships
Chuming is not currently contributing as an editor for any journal or publisher.
Has reviewed for
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Pre Publication Reviews
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Reviews (last 12 months)
Reviews (average per year)
Review to Publication ratio
Journal Impact Factors of journals reviewed for
The distribution of the Journal Impact Factors of journals Chuming Chen has reviewed for.
All fields 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 compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.
Note: only reviews with associated content are included in the graph below and where content is present we can not guarantee that it is complete or truly the content of the review.
Weekly review punchcard
The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.