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Comprehensive Analysis of Complex Traits Using WebQTL for QTL Mapping

Explore the capabilities of WebQTL for analyzing complex traits, extending beyond traditional QTL mapping methods. This platform integrates phenotype and genotype data with advanced correlation searches and selection windows, enabling genome-wide analyses. Gain insights into various trait data retrieval methods and marker mapping techniques. Whether utilizing single marker QTL mapping or interval mapping, WebQTL provides a comprehensive toolkit for genetics research. Dive into the resources available from BXD strains and enhance your understanding of the genetic underpinnings of complex traits through this powerful bioinformatics tool.

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Comprehensive Analysis of Complex Traits Using WebQTL for QTL Mapping

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  1. WebQTL Complex trait analysis beyond QTL mapping www.webqtl.org webqtl.org

  2. WebQTL Analysis

  3. WebQTL Components WebQTL pages(Python) Phenotype &Genotype data(MySQL) QTL mapping &Correlation(C)

  4. Search BXD trait data

  5. Search results

  6. Analysis selection window

  7. Genome-wide QTL mapping

  8. Analysis selection window

  9. Correlation search results

  10. Multiple probe choice

  11. Mutiple probe: single chromosome

  12. Tutorial

  13. Choice is good Stein, L (2002) Creating a bioinformatics nation. Nature417, 119-20.

  14. Trait data retrieval cmd=get&probeset=101741_at&db=1&probe=all&format=col

  15. Trait data formatted in rows cmd=get&probeset=101741_at&db=1&probe=all&format=row

  16. Genotype data in columns cmd=geno&riset=BXD&chr=1&format=col

  17. Single marker QTL mapping cmd=map&probeset=99856_r_at&db=1&sort=lrs&return=20

  18. Peak LRS from interval mapping cmd=interval&probeset=99856_r_at&db=1&sort=pos&return=10

  19. Scripted mapping and data retrieval

  20. What WebQTL is not • P-value plot of every 10th from 195,327 values Detail

  21. Web site design & coding Jintao Wang Kenneth F Manly Alex G Williams Published phenotype data Elissa S Chesler John C Crabbe John K Belknap Byron Jones Ryan McNieve Nathan Copeland Genotype/Genomic data Lu Lu Jing Gu Shuhua Qi John Hogenesch Timothy Wiltshire Yanhua Qu Brain expression data Lu Lu Siming Shou Yanhua Qu John Mountz HuiChen Su David Threadgill Acknowledgements • HSC expression data • Gerald de Haan • Michael Cooke • Leonid Bystrykh • Ellen Weersing • Bert Dontje • Andrew Su • Cerebellum expression data • UTHSC-St Jude Cerebellum Consortium • Vision and Motivation • Robert W Williams

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