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I'm currently a fifth year Ph.D student in computer science with a special focus on computatioanl biology
at University of California, Riverside.
Here is my CV.
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Education |
- Ph.D. Computer Science (2014.9 to present)
University of California, Riverside
- M.S. Statistics (2016.9 to present)
University of California, Riverside
- M.E. Computer Software and Theory (2011.9 to 2014.6)
University of Science and Technology of China
- B.E. Computer Science and Technology (2007.9 to 2011.7)
Nanjing Normal University
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Publications |
OMGS: Optical Map-based Genome Scalding.
Weihua Pan, Tao Jiang, Stefano Lonardi.
RECOMB 2019.
Accurate detection of chimeric contigs via Bionano optical maps.
Weihua Pan, Stefano Lonardi.
Bioinformatics, vol. 34, to appear.
Novo&Stitch: Accurate Reconciliation of Multiple de novo Genome Assemblies via Optical Maps.
Weihua Pan, Steve I. Wanamaker, Audrey M.V. Ah-Fong, Howard Judelson, and Stefano Lonardi.
ISMB 2018. Bioinformatics, vol. 34, no. 13, pp. i43-i51, 2018.
ThIEF:Finding Genome-wide Trajectories of Epigenetics Marks.
Anton Polishko, Md. Abid Hasan, Weihua Pan, Evelien M. Bunnik, Karine Le Roch and Stefano Lonardi.
WABI 2017, 19:1-19:16.
MetaObtainer: a tool for obtaining specified species from metagenomic reads of next-generation sequencing
Weihua Pan, Bo Chen and Yun Xu.
Interdisciplinary Sciences: Computational Life Sciences, vol 7, no. 4, pp.405-413, 2015.
WinHAP2: an extremely fast haplotype phasing program for long genotype sequences
Weihua Pan, Yanan Zhao, Yun Xu and Fengfeng Zhou.
BMC Bioinformatics, 15:164, 2014.
Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization
Xiaoquan Su $, Weihua Pan $, Baoxing Song, Jian Xu and Kang Ning.
PLOS One, 9(3): e89323, 2014. (co-first author)
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Softwares |
- OMGS
OMGS is an optical map based de novo genome scaffolding tool
- Chimericognizer
Chimericognizer is an optical map based chimeric contigs correction tool
- Novo&Stitch
Novo&Stitch is an optical map based de novo genome assemblies reconciliation tool
- WinHAP
WinHAP is an extremely fast tool for large-scale haplotyping: inferring haplotype sequences from genotype sequences.
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Parallel-MATA
Parallel-META is a GPGPU and Multi-Core CPU based software which can parallelly analyze massive metagenomic data structures, report the classification, construction and distribution on phylogenetic & taxonomic and functional level.
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MetaObtainer
MetaObtainer is a tool for obtaining the specified species from next-generation sequencing short reads.
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Reviewing Activities |
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Scientific Reports
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Research in Computational Biology (RECOMB) (2015)
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International Conference on Intelligent Systems for Molecular Biology (ISMB) (2018, 2019)
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ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) (2015, 2016, 2018)
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RECOMB Satellite Workshop on Massively Parallel Sequencing (RECOMB-Seq) (2015)
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Workshop on Algorithms in Bioinformatics (WABI) (2015, 2017)
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Teaching Assistant |
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Software Construction (CS100), University of Californina Riverside, Spring quarter, 2016.
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Software Construction (CS100), University of Californina Riverside, Winter quarter, 2016.
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Design and Analysis of Algorithm (CS218), University of Californina Riverside, Fall quarter, 2015.
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Design and Analysis of Algorithm, University of Science and Technology of China, 2012.
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Links |
ACM Digital Library
IEEE Xplore
National Center for Biotechnology Information
HapMap Project
International Society for Computational Biology
ISMB Conference
RECOMB Conference
BIOINFORMATCS Journal
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Weihua Pan
Last modified: Monday March 18, 2019
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