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CottonGen: Enabling Cotton Research through Big-Data Analysis and Integration Jing Yu, Sook Jung, Chun-Huai Cheng, Taein Lee, Katheryn Buble, Ping Zheng,

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Presentation on theme: "CottonGen: Enabling Cotton Research through Big-Data Analysis and Integration Jing Yu, Sook Jung, Chun-Huai Cheng, Taein Lee, Katheryn Buble, Ping Zheng,"— Presentation transcript:

1 CottonGen: Enabling Cotton Research through Big-Data Analysis and Integration
Jing Yu, Sook Jung, Chun-Huai Cheng, Taein Lee, Katheryn Buble, Ping Zheng, Jodi L. Humann, Deah McGaughey, James Crabb, Heidi Hough, B. Todd Campbell, Don C. Jones and Dorrie Main PAG XXVII – ICGI Workshop, Jan 13, 2019, San Diego, CA

2 Introduction CottonGen is an online genomics, genetics and breeding (GGB) database, developed in Tripal to help facilitate basic, translational and applied research in cotton It integrates curated publicly available GGB data into a single portal with a suite of querying and analysis tools

3 Transcripts/RefTrans
CottonGen Data Genomes 9 (A2, D5, AD1, AD2) Genes/mRNAs 399,958/729,129 Transcripts/RefTrans 5.8 billion/214,180 Genetic Maps/QTLs 109/4,923 Markers 573,548 Genotypes 25,491,746 Phenotypes 540,643 Germplasm/Images 17,629/12,471 Publications 16,961 CottonGen has the standard types of data you get in a GGB database. In the last year we added RefTrans which combines peer-reviewed published RNA-Seq and EST data sets to create a Reference Transcriptome (RefTrans) for individual Gossypium species and provides putative gene function identified by homology to known proteins.

4 CottonGen Tools BLAST+ Map Viewer Genome Browser CottonCyc
Proteins, Genes, Markers, Transcriptoms, Genomes, Map Viewer All Maps Genome Browser All Genome Assemblies CottonCyc D5 & AD1 Synteny Browser All sequenced Genomes Sequence Retrieval All Genome Assemblies and RefTrans Cotton Trait Ontology A central location with controlled vocabulary for cotton phenotypic traits CottonGen BIMS For breeders to store, manage, archive and analyze their private breeding data

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6 Species Dropdown - Links to Species Data and Tools

7 Data Dropdown - Cotton Trait Ontology

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9 Search - Genes and Transcripts

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12 Search – QTL

13 Search - Germplasm

14 Tools: Synteny Viewer

15 Tools: Synteny Viewer (cont.)

16 Tools - MapViewer Similar to CMap, but uses the Chado data already in database Access MapViewer from “Tools” menu or any genetic map details page MapViewer is a web based genetic map visualization tool that uses the D3 Javascript technology. It allows viewing of genetic maps and will show comparison of genetic maps that share the same markers, across the same or different species. It is similar in functionality to the existing CMap but offers the benefit of using map data directly stored in Chado, a generic database schema.

17 Tools - MapViewer

18 Tools - Breeding Information Management System
To provide individual breeders with a secure and comprehensive online breeding management system which will allow them to: Store, manage, archive and analyze their private breeding program data Fully integrate their data with publicly available genomic, genetic and breeding data in the community database Manage data from the Field Book App, an android app for collecting phenotype data in the field Utilize their integrated phenotype and genotype data in performing genomic analysis and making breeding decisions. Keep incorporating open-source new analysis tool and breeding decision tools with seamless access to HPC – powerful!

19 BIMS Home These next two slides just gives you an idea of what BIMS looks like

20 BIMS interfaces You can view multiple locations via google map, get basic information of traits, to search data in bims, and to compare data among different trails and locations

21 Acknowledged with thanks
Contact us: Join our mailing lists: Cite us:

22 CottonGen at PAG XXVII CottonGen Poster - #P0605 AgBioData Outreach Booth #618


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