个人简介
Quan Long, PhD, was trained in both mathematics and computer science. His current research focuses on phenotype predictions and gene mapping via integration of multiscale –omics using statistics and informatics. He is also interested in within-host evolutionary analysis using sequences data that may lead better prediction of disease status such as cancer progression and pathogen antimicrobial resistance. He was a staff R & D engineer analyzing memory leak at IBM Research; then a staff scientist serving for the 1,000 Genomes Project and other evolution-focused projects at the Wellcome Trust Sanger Institute. Afterwards, he assumed the position of a postdoc fellow at the Gregor Mendel Institute, working on methods development as well as real data analysis for NGS-based variants calling, association mapping, and population genetics. Before joining University of Calgary, he was an assistant professor (research track) in Icahn School of Medicine at Mount Sinai, working on phenotype predictions and gene expression networks.
近期论文
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Long Q, Argmann C, Houten SM, Huang T, Peng S, Zhao Y, Tu Z, The GTEx Consortium, Zhu J (2016). "Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication". Genome Medicine, 2016 Feb 9;8(1):15. doi: 10.1186/s13073-016-0268-1, PMID: 26856537
Long Q as a listed participant of the GTEx Consortium. “The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans”. Science 2015 May 8;348(6235):648-60. doi: 10.1126/science.1262110, PMID: 25954001
Long Q, Rabanal FA, Meng D, Huber CD, Farlow A, Platzer A, Zhang Q, Vilhjálmsson BJ, Korte A, Nizhynska V, Voronin V, Korte P, Sedman L, Mandáková T, Lysak MA, Seren U, Hellmann I, Nordborg M (2013). “Massive genomic variation and strong selection in Arabidopsis thaliana lines from Sweden”. Nature Genetics 2013 Jun 23. doi: 10.1038/ng.2678, PMID: 23793030
Long Q as a listed participant of the 1,000 Genomes Project, “A map of human genome variation from population-scale sequencing”. Nature, 2010. PMID: 20981092
Zhang Q, Tyler-Smith C, Long Q. “An extended Tajima’s D neutrality test incorporating SNP calling and imputation uncertainties”. Statistics and Its Interface. 2015, vol.8(4), 447-456. (Corresponding author)
Zhang Q, Long Q, Ott J. “AprioriGWAS, a new pattern mining strategy for detecting genetic variants associated with disease through interaction effects”. PLoS Computational Biology. 2014 Jun 5; 10(6), PMID: 24901472 (Co-corresponding author)
Long Q, Zhang Q, Vilhjalmsson BJ, Forai P, Seren Ü, Nordborg M. “JAWAMix5: an out-of-core HDF5-based java implementation of whole-genome association studies using mixed models”.Bioinformatics 2013 March, PMID: 23479353, doi: 10.1093/bioinformatics/btt122. (Corresponding author)
Korte A, Vilhjálmsson BJ, Segura V, Platt A, Long Q, Nordborg M. “A mixed-model approach for genome-wide association studies of correlated traits in structured populations”. Nature Genetics 2012 Aug 19. doi: 10.1038/ng.2376. PMID: 22902788
Segura V, BJ Vilhjálmsson, Platt A, Korte A, Seren Ü, Long Q, Nordborg M. "An efficient multi-locus mixed model approach for genome-wide association mapping". Nature Genetics 2012 Jun 17;44(7):825-30. doi: 10.1038/ng.2314. PMID: 22706313
Long Q, Zhang Q, and Ott J, “Detecting Disease-Associated Genotype Patterns”, BMC Bioinformatics 2009 Jan, 10(Suppl 1): S75. PMID: 19208180
Platzer A, Nizhynska V, and Long Q. “TE-Locate: A tool to locate and group transposable element occurrences using paired-end next-generation sequencing data.” Biology (Basel) 2012 1(2), 395-410. doi: 10.3390/biology1020395. PMID: 24832231 (Corresponding author)
Long Q, Jeffares DC, Zhang Q, Ye K, Nizhynska V, Ning Z, Tyler-Smith C, and Nordborg M, “PoolHap: inferring haplotype frequencies from pooled samples by next generation sequencing”. PLoS ONE, 6(1): e15292, 2011. DOI: 10.1371/journal.pone.0015292. (Corresponding author)
Long Q, MacArthur D, Ning Z, and Tyler-Smith C, “HI: Haplotype Improver using paired-end short reads”. Bioinformatics, 2009. PMID: 19570807, DOI: 10.1093/bioinformatics/btp412. (Corresponding author)
Ye K, Schulz M, Long Q, Apweiler R, and Ning Z, “Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads”.Bioinformatics, 2009. PMID: 19561018, DOI: 10.1093/bioinformatics/btp394 (Best paper awards in ISMB 2009 Short SIG meeting)
Li Y, Long Q, Lui T, and Qiu J, “Partition-Based Method and Apparatus for Diagnosing and Repairing Memory Leak in Java Systems”. USA Patent, 2014, Pub. No.: US8775769 B2 (Inventors ordered alphabetically)
Li Y, Liu T, Long Q, Luo J, Wang C, “Method and Apparatus for Locating Memory Leak in a Program”. USA Patent, 2013, Pub. No.: US8479162 B2 (Inventors ordered alphabetically)
Long Q, Qiu Z and Liu Z, “Formal use of design patterns and refactoring”. In International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, Oct. 13 - 15, 2008, Porto Sani, Greece. Communications in Computer and Information Science (vol 17), Springer-Verlag, 2008.
Long Q, Qiu Z, Liu Z, Shao L, and He J, “POST: A Case Study for an Incremental Development in rCOS”. In Proceedings of 2nd International Colloquium on Theoretical Aspects of Computing, ICTAC 2005, October 17-21, 2005, Hanoi, Vietnam. Lecture Notes in Computer Science 3722, Springer-Verlag. DOI: 10.1007/11560647_32.
Long Q, Liu Z, Li X and He J, “Consistent Code Generation from UML Models”. In Proceedings of 16th Australian Software Engineering Conference ASWEC 2005, Mar. 29 – Apr. 1, 2005, Brisbane, Australia. IEEE Computer Society. DOI: 10.1109/ASWEC.2005.17.
Long Q, Qiu Z and Qin S, “The Equivalence of Statecharts”. In Proceedings of 5th International Conference on Formal Engineering Methods, ICFEM 2003, Nov. 5-7, 2003, Singapore. Lecture Notes in Computer Science 2885, Springer-Verlag. DOI: 10.1007/978-3-540-39893-6_9.