Amaizing is a long-term public-private research initiative coordinated by Alain Charcosset, INRA UMR Génétique végétale, Moulon, France. The overall objective of AMAIZING is to improve the efficiency of maize breeding programs in France, and to further characterize the varieties by implementing biotechnology advances and developing tools, biological knowledge, reference data and strategic know-how. Specific emphasis will be put on better understanding of genome structure and diversity organization, gain insights in the genetic determinisms of drought and cold tolerance, nitrogen use efficiency and the analysis of heterosis in view of developing optimized varieties and associated cultivation practices. Basic knowledge on diversity, resources and approaches developed within the project also will be beneficial to target traits investigated in other projects.Especially, AMAIZING will produce a genome sequence based and breeder oriented tool box that will enable a breakthrough in the following fields
Web site: http://www.amaizing.fr
Access to Amaizing resources (databases and tools)
- Query on Amaizing data is available if you are member of the project and have rights to see the data.
- As soon as data becomes public, they will be made available on GnpIS portal without any login. Messages will be written to announce that.
-
To get a private access: please ask an account on
Register
web page and select AmaiZing project in the list. You will receive an access to AmaiZIng private data loaded into GnpIS database according to your rights.
-
With this account you can get a private access :
- JBrowse genome browser that contains SNPs, RNASeq, PAV, all AmaiZIng data mapped on B73 maize genome (
reference refgen V2 JBrowse
,
reference refgen V2 (registered) JBrowse
,
reference refgen V4 JBrowse
and
reference refgen FV2 v1 - Pangenome JBrowse
) and also to a set of public data : FGS (official gene annotation), GWAS.
- RNAseq meta-data and files in
GnpIS
sequence module (WP3), that complete the Jbrowse view
-
Genetic resources and phenotyping data
of the project (WP5) (do not forget to log in : press the button in the left upper corner of the query form)
-
GWAS marker-trait associated data
and their genotyping and phenotyping associated data (only public data at this time)
-
Blast amaizing tools
, including sequence from B73 V4 assembly, inbred lines from B104, EP1, F7, Mo17, PH207 and A188
- Genotyping data of the project:
ZM_LMP_Combined
corresponding to GBS and
50K_IlluminaInfiniumHD
- Visit also AmaiZing official web site
http://www.amaizing.fr
for global information on the project
Project details
Duration: 01/07/2011 to 31/12/2019
Coordinator: Alain Charcosset
AMAIZING will involve 24 partners, public research institute and breeding compagnies with diverse complementary expertise over duration of 8 years.
For complete list, see: http://www.amaizing.fr/institutions.php
Bioinformatics (Workpackage 2) : 3 partners : UMR Génétique Quantitativ Evolution - Le Moulon - (leader), URGI, BGA)
AMAIZING will produce and manipulate very large bodies of heterogeneous data including million of sequence reads (WP3), genotyping (WP4) and phenotyping data points (WP5).
These data will have to be conveniently stored, pre-processed and made available to the partners of the project and to the international community.
One main goal of WP2 is to provide partners bioinformatics and Information Technology (IT) expertise, hardware services, scientific programming, database management, scientific software and database training.
The project Information System will be based on a set of distributed and existing databases : GnpIS, ThaliaDB and an analysis tool Biomercator, that will be improved to take into account Amaizing User needs.
Outputs :
- A unique breeder and geneticist oriented web portal
including interfaces for data access report about data content tools for data analysis
- Databases
populated with datasets from the project or other public providers
- Adapted softwar
e for high-memory or high-CPU requiring computation
Contacts:
- WP2 Leader: WP2, Johann Joets, from GQE-Le moulon
- 2.4 : Task Leader : Databases access and data analysis tools: Delphine Steinbach, INRA URGI, new position at GQE-Le moulon since 1 rst September 2015
- 2.3 Task Leader and co-leader: Data management : Nathalie Rivière, BGA (Biogemma) and Cyril Pommier INRA URGI since october 2015
News:
- October 2015:
- Presentation of the new developments and new data at the general assembly meeting in Pau (WP2: talk)
- Add new tracks on Jbrowse B73: structural variants (F2) from WP3 (J. Joets & al).
- Add genetic resources, add phenotyping data from WP4 (B. Gouesnard & al).
- September 2015:
- Delphine Steinbach left INRA URGI, to have new position and new missions at INRA GQE-le Moulon. She continues her missions on AmaiZing project on the lead of the 2.4 task (Tools development). Her work at URGI on 2.3 is transferred to Cyril Pommier at URGI. Cyril takes also since the 23 rd october the co-leader ship of task 2.3 (Data management).
- June 2015:
- Training session (Webinar using a virtual classroom of INRA e-learning platform) on GnpIS : new functionalities for the Association query form, open to partners. slides and video were made available to partners. Contact Delphine for more details.
- June-July 2014 :
- Training session event on GnpIS tool open to partners organized at UMR GQE- Le Moulon, Gif sur Yvette
- October 2014:
- Setting of a new tool : Jbrowse containing SNPs and RNASeq data generated by the project (WP6, WP3)
- Setting of a new functionality in GnpIS: RNAseq meta-data and files are now available in GnpIS portal (module Sequence)
- October 2013 - Second annual meeting in Clermont-Ferrand
- November 2012 - 1st annual meeting in Montpellier
- November 2011 - Kick-off meeting at INRA Versailles
Human ressources: non permanent positions for bioinformatics development or/and data integration tasks
- one CDD 24 months URGI: Mathieu Labernardière in replacement of Sandrine Nsique-Meilo
- one CDD 18 months Biomercator: Lydia Haît-Braham
- one CDD on ThaliaDB: Guy-Ross Assoumou (18 months)
Perspectives: 2015 - 2017
- Continue data integration according to their availability in WPs
- High throughput genotyping data : 50K, 600K, GBS
- GWAS data
- New variants mapped on the genome, pan-genome
- Genomic selection data
- Methylation data
- Finish the development of the new query form in GnpIS to query on gene expression : 2015-2016
- For information on the data submission process, please contact WP2 task leaders: 2.3 and 2.4.