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苏晓泉 suxq@qibebt.ac.cn 博士/副研究员 生物信息研究组负责人 硕士生导师 工作期限：2011-2020 |
教育与研究背景
中国科学院青岛生物能源与过程研究所副研究员，单细胞中心生物信息研究组负责人。
2009年武汉大学计算机科学学士。
2011年纽约州立大学石溪分校（State University of New York at Stony Brook）计算机科学硕士，并全职加入中科院青岛生物能源与过程研究所。
2018年获得中科院青岛生物能源与过程研究所微生物博士学位。
2014年香港城市大学（City University of Hong Kong）访问学者。
2016年加州大学圣地亚哥分校（University of California, San Diego）国家公派访问学者。
主持国家自然科学基金青年、面上项目，中科院重点部署项目、山东省自然科学基金重大基础研究项目、中科院重点实验室开放课题等，论文发表于mBio, Bioinformatics, BMC Systems Biology, BMC Genomics 等期刊。
研究方向
生物信息学，计算生物学，微生物组学，大数据挖掘
发表的论文
1. Su*, et al. Multiple-Disease Detection and Classification across Cohorts via Microbiome Search. mSystems 2020.
2. Jing1, Zhang1, Su*, et al. Dynamic Meta-Storms enables comprehensive taxonomic and phylogenetic comparison of shotgun metagenomes at the species level. Bioinformatics 2019.
3. Su*, et al. Reply to Sun et al., “Identifying Composition Novelty in Microbiome Studies: Improvement of Prediction Accuracy”. mBio 2019.
4. Su*, et al. Identifying and Predicting Novelty in Microbiome Studies. mBio 2018.
5. Zhou1, Su1, et al. RNA-QC-chain: comprehensive and fast quality control for RNA-Seq data. BMC Genomics 2018.
6. Jing, Su*, et al. Parallel-META 3: Comprehensive taxonomical and functional analysis platform for efficient comparison of microbial communities. Scientific Reports 2017.
7. Su, et al. Application of Meta-Mesh on the analysis of microbial communities from human associated-habitats. Quantitative Biology 2015.
8. Su, et al. GPU-Meta-Storms: Computing the structure similarities among massive amount of microbial community samples using GPU. Bioinformatics 2014.
9. Su, et al. Rapid comparison and correlation analysis among massive number of microbial community samples based on MDV data model, Scientific Reports 2014.
10. Su, et al. Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization. PLoS One 2014.
11. Zhou1, Su1, et al. Assessment of the quality control approaches for metagenomic data, Scientific Reports 2014.
12. Cheng1, Su1, et al. Biological ingredient analysis of traditional Chinese medicine preparation based on high-throughput sequencing: the story for Liuwei Dihuang Wan. Scientific Reports 2014.
13. Su, et al. Meta-Storms: Efficient Search for Similar Microbial Communities Based on a Novel Indexing Scheme and Similarity Score for Metagenomic Data. Bioinformatics 2012.
14. X. Su, et al. Parallel-META: efficient metagenomic data analysis based on high-performance computation. BMC Systems Biology 2012.
15. X. Su, et al. An Open-source Collaboration Environment for Metagenomics Research. IEEE International Conference on E-Science. 2011.
16. P. Yang, X. Su, et al. Microbial community pattern detection in human body habitats via ensemble clustering framework, BMC Systems Biology 2013.
17. Q. Zhou, X. Su, et al. QC-Chain: Fast and Holistic Quality Control Method for Next-Generation Sequencing Data, PLoS ONE 2013.
18. B. Song, X. Su and K. Ning. MetaSee: An interactive and extendable visualization toolbox for metagenomic sample analysis and comparison, PLoS One 2012.
Curriculum Vitae
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