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Quan Long

  • ASSISTANT PROFESSOR Genetics and Genomic Sciences
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Education

  • BS, Wuhan University
    Mathematics

  • PhD, Peking University
    Applied Mathematics

Biography

    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, in particular linear mixed models. He is also interested in evolutionary analysis using sequences data. Before joining Mount Sinai, 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.

Research

Please visit Dr Long's GoogleSite (https://sites.google.com/site/quanlongresearch/) for his up-to-date research activities and full publications list.

Publications

Long Q, Rabanal FA, Meng D, Huber CD, Farlow A, Platzer A, Zhang Q, Vilhjalmsson BJ, Korte A, Nizhynska V, Voronin V, Korte P, Sedman L, Mandakova T, Lysak MA, Seren U, Hellmann I, Nordborg M. Massive genomic variation and strong selection in Arabidopsis thaliana lines from Sweden. Nature genetics 2013 June;.

Long Q, Zhang Q, Vilhjalmsson BJ, Forai P, Seren U, Nordborg M. JAWAMix5: an out-of-core HDF5-based java implementation of whole-genome association studies using mixed models. Bioinformatics (Oxford, England) 2013 Apr;.

Platzer A, Nizhynska V, Long Q. TE-Locate: A tool to locate and group transposable element occurrences using paired-end next-generation sequencing data. Biology 2012; 1(2).

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 Sep; 44(9).

Segura V, Vilhjálmsson BJ, Platt A, Korte A, Seren Ü, Long Q, Nordborg M. An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations. Nature genetics 2012 Jul; 44(7).

Long Q, Jeffares DC, Zhang Q, Ye K, Nizhynska V, Ning Z, Tyler-Smith C, Nordborg M. PoolHap: inferring haplotype frequencies from pooled samples by next generation sequencing. PloS one 2011; 6(1).

Liu Y, Qiu Z, Long Q. WP Semantics and Behavioral Subtyping. Lecture Notes in Computer Science 2011; 6919.

Long Q as a listed participant of the 1000 Genomes Project Consortium . A map of human genome variation from population-scale sequencing. Nature 2010 Oct; 467(7319).

Ye K, Schulz MH, Long Q, Apweiler R, Ning Z. Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads. Bioinformatics (Oxford, England) 2009 Nov; 25(21).

Long Q, MacArthur D, Ning Z, Tyler-Smith C. HI: haplotype improver using paired-end short reads. Bioinformatics (Oxford, England) 2009 Sep; 25(18).

Long Q, Zhang Q, Ott J. Detecting disease-associated genotype patterns. BMC bioinformatics 2009; 10 Suppl 1.

Long Q, Qiu Z, Liu Z. Formal use of design patterns and refactoring. Communications in Computer and Information Science 2008; 17.

Long Q, Qiu Z, Liu Z, Shao L, He J. POST: A Case Study for an Incremental Development in rCOS. Lecture Notes in Computer Science 2005; 3722.

Long Q, Liu Z, Li X, He J. Consistent Code Generation from UML Models. Proceedings of 16th Australian Software Engineering Conference 2005;.

Li X, Liu Z, He J, Long Q. Generating a Prototype from UML Model of System Requirements. Lecture Notes in Computer Science 2004; 3347.

Long Q, Qiu Z, Qin S. The Equivalence of Statecharts. Lecture Notes in Computer Science 2003; 2885.

Industry Relationships

Physicians and scientists on the faculty of the Icahn School of Medicine at Mount Sinai often interact with pharmaceutical, device and biotechnology companies to improve patient care, develop new therapies and achieve scientific breakthroughs. In order to promote an ethical and transparent environment for conducting research, providing clinical care and teaching, Mount Sinai requires that salaried faculty inform the School of their relationships with such companies.

Dr. Long did not report having any of the following types of financial relationships with industry during 2012 and/or 2013: consulting, scientific advisory board, industry-sponsored lectures, service on Board of Directors, participation on industry-sponsored committees, equity ownership valued at greater than 5% of a publicly traded company or any value in a privately held company. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.

Mount Sinai's faculty policies relating to faculty collaboration with industry are posted on our website at http://icahn.mssm.edu/about-us/services-and-resources/faculty-resources/handbooks-and-policies/faculty-handbook. Patients may wish to ask their physician about the activities they perform for companies.

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