# WheatIS data discovery

Michael Alaux

► To cite this version:

Michael Alaux. WheatIS data discovery. PAG XXVII - Plant and Animal Genome Conference, Jan 2019, San Diego, United States. [hal-04536596](https://hal.inrae.fr/hal-04536596)

HAL Id: hal-04536596

https://hal.inrae.fr/hal-04536596

Submitted on 8 Apr 2024

HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished or not. The documents may come from
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abroad, or from public or private research centers.

L'archive ouverte pluridisciplinaire HAL, est
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émanant des établissements d'enseignement et de
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<figure><img src="image_1.png" /></figure>

Distributed under a Creative Commons Attribution 4.0 International License
<figure><img src="image_1.png" /></figure>

HAL
open science

# WheatIS data discovery

Michael Alaux

► To cite this version:

Michael Alaux. WheatIS data discovery. PAG XXVII - Plant and Animal Genome Conference, Jan 2019, San Diego, United States. [https://hal.inrae.fr/hal-04536596](https://hal.inrae.fr/hal-04536596v1)

HAL Id: hal-04536596

https://hal.inrae.fr/hal-04536596v1

Submitted on 8 Apr 2024

HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished or not. The documents may come from
teaching and research institutions in France or
abroad, or from public or private research centers.

L'archive ouverte pluridisciplinaire HAL, est
destinée au dépôt et à la diffusion de documents
scientifiques de niveau recherche, publiés ou non,
émanant des établissements d'enseignement et de
recherche français ou étrangers, des laboratoires
publics ou privés.

<figure><img src="image_2.png" /></figure>

Distributed under a Creative Commons Attribution 4.0 International License
# WheatIS data discovery

Michael Alaux

<figure><img src="image_2.png" /></figure>

<figure><img src="image_3.png" /></figure>

<figure><img src="image_4.png" /></figure>

<figure><img src="image_5.png" /></figure>

<figure><img src="image_6.png" /></figure>

<figure><img src="image_7.png" /></figure>
# WheatIS data discovery

Michael Alaux

<figure><img src="image_3.png" /></figure>

<figure><img src="image_4.png" /></figure>

<figure><img src="image_5.png" /></figure>

<figure><img src="image_6.png" /></figure>

<figure><img src="image_7.png" /></figure>

<figure><img src="image_8.png" /></figure>
# New architecture

## WheatIS nodes

<figure><img src="image_8.png" /></figure>

* ✓ Lighter implementation for new nodes

* ✓ Nodes cannot be « down »

* ✓ Easy addition of new functionalities

<figure><img src="image_9.png" /></figure>
# New architecture

## WheatIS nodes

<figure><img src="image_9.png" /></figure>

* ✓ Lighter implementation for new nodes

* ✓ Nodes cannot be « down »

* ✓ Easy addition of new functionalities

<figure><img src="image_10.png" /></figure>
<figure><img src="image_10.png" /></figure>

Wheat@URGI WheatIS Wheat Initiative

## URGI

IWGSC@GnpIS [18 566 139]

GnpIS [92 214]

OpenMinTeD [3 398]

WheatIS File Repository [6]

## EBI

Ensembl Plants [2 122 980]

## IPK

CR-EST [199 220]

GEBIS [50 875]

MetaCrop [177]

## Gramene

Gramene [229 789]

## UWA

Wheat Pangenome [167 167]

## T3

The Triticeae Toolbox [138 441]

## South Green

AgroLD [137 060]

## Rothamsted Research

KNetMiner [110 775]

## GrainGenes

GrainGenes [15 827]

Wheat Gene Catalog at
Komugi [3 043]

## PGSB

CrowsNest [13 324]

## CIMMYT

CIMMYT Dspace [981]

CIMMYT dataverse [1]

## IPGPAS

PlantPhenoDB [3]

## WheatIS

Wheat Information
System

<figure><img src="image_11.png" /></figure>

Examples: yield, fhb

Search
<figure><img src="image_11.png" /></figure>

URGI

IWGSC@GnpIS [18 566 139]

GnpIS [92 214]

OpenMinTeD [3 398]

WheatIS File Repository [6]

EBI

Ensembl Plants [2 122 980]

IPK

CR-EST [199 220]

GEBIS [50 875]

MetaCrop [177]

Gramene

Gramene [229 789]

UWA

Wheat Pangenome [167 167]

T3

The Triticeae Toolbox [138 441]

South Green

AgroLD [137 060]

Rothamsted Research

KNetMiner [110 775]

GrainGenes

GrainGenes [15 827]

Wheat Gene Catalog at
Komugi [3 043]

PGSB

CrowsNest [13 324]

CIMMYT

CIMMYT Dspace [981]

CIMMYT dataverse [1]

IPGPAS

PlantPhenoDB [3]

WheatIS

Wheat Information
System

<figure><img src="image_12.png" /></figure>

Examples: yield, fhb

Search
URGI

IWGSC@GnpIS [19 241 077]

GnpIS [156 827]

OpenMinTeD [3 398]

WheatIS File Repository [6]

<figure><img src="image_12.png" /></figure>

Data added

Bibliography

EBI

Ensembl Plants [2 391 552]

IPK

CR-EST [199 220]

GEBIS [51 302]

MetaCrop [355]

Gramene

Gramene [229 851]

T3

The Triticeae Toolbox [185 781]

UWA

Wheat Pangenome [167 167]
New data

URGI

IWGSC@GnpIS [19 241 077]

GnpIS [156 827]

OpenMinTeD [3 398]

WheatIS File Repository [6]

<figure><img src="image_13.png" /></figure>

Data added

Bibliography

EBI

Ensembl Plants [2 391 552]

IPK

CR-EST [199 220]

GEBIS [51 302]

MetaCrop [355]

Gramene

Gramene [229 851]

T3

The Triticeae Toolbox [185 781]

UWA

Wheat Pangenome [167 167]
# New data

## South Green

AgroLD [137 060]

Linked data

## Rothamsted Research

KNetMiner [110 775]

Knowledge networks

## GrainGenes

GrainGenes [16 755]

Data added: genes, maps, germplasm

Wheat Gene Catalog at
Komugi [3 119]

Gene Catalog

## PGSB

CrowsNest [13 324]

## CIMMYT

CIMMYT Dspace [981]

CIMMYT dataverse [38]

## IPGPAS

PlantPhenoDB [3]
# New data

## South Green

AgroLD [137 060]

Linked data

## Rothamsted Research

KNetMiner [110 775]

Knowledge networks

## GrainGenes

GrainGenes [16 755]

Data added: genes, maps, germplasm

Wheat Gene Catalog at
Komugi [3 119]

Gene Catalog

## PGSB

CrowsNest [13 324]

## CIMMYT

CIMMYT Dspace [981]

CIMMYT dataverse [38]

## IPGPAS

PlantPhenoDB [3]
# New filters

FHB

Search

Results 1 to 20 from 219

## Data type

☐ Bibliography [123]

☐ Experiment [59]

☐ Phenotype [18]

☐ Accession [9]

☐ Genetic map [6]

☐ Gene [2]

☐ Physical map [1]

☐ Qtl [1]

## SUWWSN_2016_Fayetteville - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Fayetteville phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum phenotype

## SUWWSN_2016_Newport - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Newport phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum phenotype

## Database

☐ OpenMinTeD [121]

☐ The Triticeae Toolbox [84]

☐ GrainGenes [7]

☐ CIMMYT Dspace [2]

☐ GnpIS [2]

☐ Wheat Gene Catalog at Komugi [2]

☐ PlantPhenoDB [1]

## SUWWSN_2016_Urbana - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Urbana phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity heading date **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum phenotype

## SUWWSN_2016_Columbia - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Columbia phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity heading date **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum phenotype

## Node

☐ URGI [123]

☐ T3 [84]

☐ GrainGenes [9]

☐ CIMMYT [2]

☐ IPGPAS [1]

## FHB - GnpIS

Phenotype **Triticum aestivum**

Phenotype GnpIS **FHB** **FHB** is a trait related to Resistance, which unit is 'wu', described as follows: resistance contre Fusarium graminearum. Related keyword(s): Fusarium Head Blight (**FHB**) Triticum aestivum **FHB** ... (Expand)

## Species

☐ Triticum [121]

☐ Triticum aestivum [95]

☐ Wheat [2]

☐ Triticum turgidum ssp. dicoccoides [1]

☐ Triticum turgidum ssp. durum [1]

## SUWWSN_2016_Lexington - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Lexington phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity heading date plant height **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum ... (Expand)

## SUWWSN_2016_Blacksburg - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Blacksburg phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity heading date plant height grain yield test weight **FHB** grain incidence **FHB** ISK index
# New filters

FHB

Search

Results 1 to 20 from 219

## Data type

☐ Bibliography [123]

☐ Experiment [59]

☐ Phenotype [18]

☐ Accession [9]

☐ Genetic map [6]

☐ Gene [2]

☐ Physical map [1]

☐ Qtl [1]

## SUWWSN_2016_Fayetteville - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Fayetteville phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum phenotype

## SUWWSN_2016_Newport - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Newport phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum phenotype

## Database

☐ OpenMinTeD [121]

☐ The Triticeae Toolbox [84]

☐ GrainGenes [7]

☐ CIMMYT Dspace [2]

☐ GnpIS [2]

☐ Wheat Gene Catalog at Komugi [2]

☐ PlantPhenoDB [1]

## SUWWSN_2016_Urbana - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Urbana phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity heading date **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum phenotype

## SUWWSN_2016_Columbia - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Columbia phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity heading date **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum phenotype

## Node

☐ URGI [123]

☐ T3 [84]

☐ GrainGenes [9]

☐ CIMMYT [2]

☐ IPGPAS [1]

## FHB - GnpIS

Phenotype **Triticum aestivum**

Phenotype GnpIS **FHB FHB** is a trait related to Resistance, which unit is 'wu', described as follows: resistance contre Fusarium graminearum. Related keyword(s): Fusarium Head Blight (**FHB**) Triticum aestivum **FHB** ... (Expand)

## SUWWSN_2016_Lexington - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Lexington phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity heading date plant height **FHB** grain incidence **FHB** ISK index Southern Uniform Winter Wheat Scab Nursery Triticum aestivum ... (Expand)

## Species

☐ Triticum [121]

☐ Triticum aestivum [95]

☐ Wheat [2]

☐ Triticum turgidum ssp. dicoccoides [1]

☐ Triticum turgidum ssp. durum [1]

## SUWWSN_2016_Blacksburg - The Triticeae Toolbox

Experiment **Triticum aestivum**

Experiment Triticeae Toolbox SUWWSN_2016_Blacksburg phenotype trial traits=DON level **FHB** disease index **FHB** incidence **FHB** severity heading date plant height grain yield test weight **FHB** grain incidence **FHB** ISK index
# New filters

yield

Search

## Data type (18)

### Experiment [1 138]

Gene annotation [701]

Bibliography [636]

Gene [53]

Gwas [51]

Phenotype [36]

Interpro family [28]

Qtl [17]

Other results are available.
Remove your search

☐ CR-EST [5]

☐ CIMMYT dataverse [1]

☐ GEBIS [1]

☐ PlantPhenoDB [1]

☐ WheatIS File Repository [1]

## Node

☐ URGI [1 671]

☐ T3 [597]

☐ Rothamsted Research [158]

☐ CIMMYT [129]

☐ Gramene [85]

☐ GrainGenes [46]

☐ South Green [11]

☐ IPK [6]

☐ IPGPAS [1]

Results 1 to 20 from 2 704

### 10883/1551 - CIMMYT Dspace

Bibliography Wheat yield

CIMMYT Dspace Wheat Yield Publication 10883/1551 10883/1551 Herbicidal effect on the growth and yield of wheat 2009-01-01 Herbicidal effect on the growth and yield of wheat Article ... (Expand)

### QYld.crc-2A - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QYld.crc-2A [GrainGenes Summary] Yield and Yield Components; Grain yield Triticum aestivum

### QYld.crc-4A - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QYld.crc-4A [GrainGenes Summary] Yield and Yield Components; Grain yield Triticum aestivum

### QYld.ndsu-5B - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QYld.ndsu-5B [GrainGenes Summary] Yield and Yield Components; Grain yield Triticum aestivum

### QYld.inra-7D - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QYld.inra-7D [GrainGenes Summary] Yield and Yield Components; Grain yield Triticum aestivum

### QGyld.unl-3A.1 - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QGyld.unl-3A.1 [GrainGenes Summary] Yield and Yield Components; Grain yield Triticum aestivum

### QGyld.unl-3A.2 - Wheat Gene Catalog at Komugi

Gene Triticum aestivum
# New filters

yield

Search

## Data type (18)

### Experiment [1 138]

Gene annotation [701]

Bibliography [636]

Gene [53]

Gwas [51]

Phenotype [36]

Interpro family [28]

Qtl [17]

Other results are available.
Remove your search

☐ CR-EST [5]

☐ CIMMYT dataverse [1]

☐ GEBIS [1]

☐ PlantPhenoDB [1]

☐ WheatIS File Repository [1]

## Node

☐ URGI [1 671]

☐ T3 [597]

☐ Rothamsted Research [158]

☐ CIMMYT [129]

☐ Gramene [85]

☐ GrainGenes [46]

☐ South Green [11]

☐ IPK [6]

☐ IPGPAS [1]

Results 1 to 20 from 2 704

### 10883/1551 - CIMMYT Dspace

Bibliography Wheat yield

CIMMYT Dspace Wheat **Yield** Publication 10883/1551 10883/1551 Herbicidal effect on the growth and **yield** of wheat 2009-01-01 Herbicidal effect on the growth and **yield** of wheat Article ... (Expand)

### QYld.crc-2A - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QYld.crc-2A [GrainGenes Summary] **Yield** and **Yield** Components; Grain **yield** Triticum aestivum

### QYld.crc-4A - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QYld.crc-4A [GrainGenes Summary] **Yield** and **Yield** Components; Grain **yield** Triticum aestivum

### QYld.ndsu-5B - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QYld.ndsu-5B [GrainGenes Summary] **Yield** and **Yield** Components; Grain **yield** Triticum aestivum

### QYld.inra-7D - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QYld.inra-7D [GrainGenes Summary] **Yield** and **Yield** Components; Grain **yield** Triticum aestivum

### QGyld.unl-3A.1 - Wheat Gene Catalog at Komugi

Gene Triticum aestivum

Gene Wheat Gene Catalog at Komugi QGyld.unl-3A.1 [GrainGenes Summary] **Yield** and **Yield** Components; Grain **yield** Triticum aestivum

### QGyld.unl-3A.2 - Wheat Gene Catalog at Komugi

Gene Triticum aestivum
# Usage metrics

2016

<table><thead><tr><th colspan="5">Summary</th></tr></thead><tbody><tr><th scope="row">Reported period</th><td colspan="4">Year 2016</td></tr><tr><th scope="row">First visit</th><td colspan="4">01 Jul 2016 - 03:57</td></tr><tr><th scope="row">Last visit</th><td colspan="4">31 Dec 2016 - 00:42</td></tr><tr><th scope="row"></th><th scope="col">Unique visitors</th><th scope="col">Number of visits</th><th scope="col">Pages</th><td></td></tr><tr><th scope="row">Viewed traffic *</th><td><strong>&lt;= 460</strong><br>Exact value not available in 'Year' view</td><td><strong>689</strong><br>(1.49 visits/visitor)</td><td><strong>3,609</strong><br>(5.23 Pages/Visit)</td><td></td></tr><tr><th scope="row">Not viewed traffic *</th><td></td><td></td><td><strong>110</strong></td><td></td></tr></tbody></table>

* Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes.

2017

<table><thead><tr><th colspan="5">Summary</th></tr></thead><tbody><tr><th scope="row">Reported period</th><td colspan="4">Year 2017</td></tr><tr><th scope="row">First visit</th><td colspan="4">01 Jan 2017 - 15:36</td></tr><tr><th scope="row">Last visit</th><td colspan="4">31 Dec 2017 - 08:09</td></tr><tr><th scope="row"></th><th scope="col">Unique visitors</th><th scope="col">Number of visits</th><th scope="col">Pages</th><td></td></tr><tr><th scope="row">Viewed traffic *</th><td><strong>&lt;= 1,556</strong><br>Exact value not available in 'Year' view</td><td><strong>2,236</strong><br>(1.43 visits/visitor)</td><td><strong>17,568</strong><br>(7.85 Pages/Visit)</td><td></td></tr><tr><th scope="row">Not viewed traffic *</th><td></td><td></td><td><strong>996</strong></td><td></td></tr></tbody></table>

* Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes.

2018

<table><thead><tr><th colspan="5">Summary</th></tr></thead><tbody><tr><th scope="row">Reported period</th><td colspan="4">Year 2018</td></tr><tr><th scope="row">First visit</th><td colspan="4">07 Jan 2018 - 07:20</td></tr><tr><th scope="row">Last visit</th><td colspan="4">27 Nov 2018 - 07:33</td></tr><tr><th scope="row"></th><th scope="col">Unique visitors</th><th scope="col">Number of visits</th><th scope="col">Pages</th><td></td></tr><tr><th scope="row">Viewed traffic *</th><td><strong>&lt;= 1,931</strong><br>Exact value not available in 'Year' view</td><td><strong>3,307</strong><br>(1.71 visits/visitor)</td><td><strong>27,371</strong><br>(8.27 Pages/Visit)</td><td></td></tr><tr><th scope="row">Not viewed traffic *</th><td></td><td></td><td><strong>604</strong></td><td></td></tr></tbody></table>

* Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes.
# Usage metrics

2016

<table><thead><tr><th colspan="5">Summary</th></tr></thead><tbody><tr><th scope="row">Reported period</th><td colspan="4">Year 2016</td></tr><tr><th scope="row">First visit</th><td colspan="4">01 Jul 2016 - 03:57</td></tr><tr><th scope="row">Last visit</th><td colspan="4">31 Dec 2016 - 00:42</td></tr><tr><th scope="row"></th><th scope="col">Unique visitors</th><th scope="col">Number of visits</th><th scope="col">Pages</th><td></td></tr><tr><th scope="row">Viewed traffic *</th><td><strong>&lt;= 460</strong><br>Exact value not available in 'Year' view</td><td><strong>689</strong><br>(1.49 visits/visitor)</td><td><strong>3,609</strong><br>(5.23 Pages/Visit)</td><td></td></tr><tr><th scope="row">Not viewed traffic *</th><td></td><td></td><td><strong>110</strong></td><td></td></tr></tbody></table>

* Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes.

2017

<table><thead><tr><th colspan="5">Summary</th></tr></thead><tbody><tr><th scope="row">Reported period</th><td colspan="4">Year 2017</td></tr><tr><th scope="row">First visit</th><td colspan="4">01 Jan 2017 - 15:36</td></tr><tr><th scope="row">Last visit</th><td colspan="4">31 Dec 2017 - 08:09</td></tr><tr><th scope="row"></th><th scope="col">Unique visitors</th><th scope="col">Number of visits</th><th scope="col">Pages</th><td></td></tr><tr><th scope="row">Viewed traffic *</th><td><strong>&lt;= 1,556</strong><br>Exact value not available in 'Year' view</td><td><strong>2,236</strong><br>(1.43 visits/visitor)</td><td><strong>17,568</strong><br>(7.85 Pages/Visit)</td><td></td></tr><tr><th scope="row">Not viewed traffic *</th><td></td><td></td><td><strong>996</strong></td><td></td></tr></tbody></table>

* Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes.

2018

<table><thead><tr><th colspan="5">Summary</th></tr></thead><tbody><tr><th scope="row">Reported period</th><td colspan="4">Year 2018</td></tr><tr><th scope="row">First visit</th><td colspan="4">07 Jan 2018 - 07:20</td></tr><tr><th scope="row">Last visit</th><td colspan="4">27 Nov 2018 - 07:33</td></tr><tr><th scope="row"></th><th scope="col">Unique visitors</th><th scope="col">Number of visits</th><th scope="col">Pages</th><td></td></tr><tr><th scope="row">Viewed traffic *</th><td><strong>&lt;= 1,931</strong><br>Exact value not available in 'Year' view</td><td><strong>3,307</strong><br>(1.71 visits/visitor)</td><td><strong>27,371</strong><br>(8.27 Pages/Visit)</td><td></td></tr><tr><th scope="row">Not viewed traffic *</th><td></td><td></td><td><strong>604</strong></td><td></td></tr></tbody></table>

* Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes.
# Countries for 2018

Countries (Top 30) - Full list

<table><thead><tr><th>Countries</th><th></th><th>Unique visitors</th><th>Number of visits</th><th>Pages</th></tr></thead><tbody><tr><td>China</td><td>cn</td><td>938 (48.6%)</td><td>1,606 (48.6%)</td><td>14,461</td></tr><tr><td>United States</td><td>us</td><td>262 (13.6%)</td><td>449 (13.6%)</td><td>3,466</td></tr><tr><td>France</td><td>fr</td><td>153 (7.9%)</td><td>261 (7.9%)</td><td>2,143</td></tr><tr><td>Great Britain</td><td>gb</td><td>98 (5.1%)</td><td>168 (5.1%)</td><td>1,335</td></tr><tr><td>South Africa</td><td>za</td><td>64 (3.3%)</td><td>110 (3.3%)</td><td>1,101</td></tr><tr><td>India</td><td>in</td><td>96 (5.0%)</td><td>164 (5.0%)</td><td>957</td></tr><tr><td>Germany</td><td>de</td><td>58 (3.0%)</td><td>100 (3.0%)</td><td>712</td></tr><tr><td>Australia</td><td>au</td><td>53 (2.7%)</td><td>90 (2.7%)</td><td>645</td></tr><tr><td>Japan</td><td>jp</td><td>38 (2.0%)</td><td>65 (2.0%)</td><td>425</td></tr><tr><td>Canada</td><td>ca</td><td>27 (1.4%)</td><td>46 (1.4%)</td><td>290</td></tr><tr><td>Argentina</td><td>ar</td><td>17 (0.9%)</td><td>29 (0.9%)</td><td>245</td></tr><tr><td>Italy</td><td>it</td><td>13 (0.7%)</td><td>22 (0.7%)</td><td>180</td></tr><tr><td>Mexico</td><td>mx</td><td>14 (0.7%)</td><td>24 (0.7%)</td><td>148</td></tr><tr><td>Russian Federation</td><td>ru</td><td>10 (0.5%)</td><td>18 (0.5%)</td><td>133</td></tr><tr><td>Spain</td><td>es</td><td>9 (0.5%)</td><td>16 (0.5%)</td><td>126</td></tr><tr><td>Poland</td><td>pl</td><td>8 (0.4%)</td><td>15 (0.5%)</td><td>115</td></tr><tr><td>Ethiopia</td><td>et</td><td>6 (0.3%)</td><td>10 (0.3%)</td><td>81</td></tr><tr><td>Pakistan</td><td>pk</td><td>6 (0.3%)</td><td>10 (0.3%)</td><td>71</td></tr><tr><td>Hong Kong</td><td>hk</td><td>5 (0.3%)</td><td>8 (0.2%)</td><td>65</td></tr><tr><td>Belgium</td><td>be</td><td>5 (0.3%)</td><td>9 (0.3%)</td><td>65</td></tr><tr><td>Saudi Arabia</td><td>sa</td><td>4 (0.2%)</td><td>7 (0.2%)</td><td>56</td></tr><tr><td>Netherlands</td><td>nl</td><td>4 (0.2%)</td><td>6 (0.2%)</td><td>49</td></tr><tr><td>Kuwait</td><td>kw</td><td>3 (0.2%)</td><td>4 (0.1%)</td><td>46</td></tr><tr><td>Iran</td><td>ir</td><td>4 (0.2%)</td><td>7 (0.2%)</td><td>44</td></tr><tr><td>Czech Republic</td><td>cz</td><td>4 (0.2%)</td><td>6 (0.2%)</td><td>41</td></tr><tr><td>Chile</td><td>cl</td><td>3 (0.2%)</td><td>5 (0.2%)</td><td>39</td></tr><tr><td>Moldova</td><td>md</td><td>2 (0.1%)</td><td>4 (0.1%)</td><td>32</td></tr><tr><td>Denmark</td><td>dk</td><td>3 (0.2%)</td><td>4 (0.1%)</td><td>31</td></tr><tr><td>Austria</td><td>at</td><td>3 (0.2%)</td><td>5 (0.2%)</td><td>28</td></tr><tr><td>Norway</td><td>no</td><td>2 (0.1%)</td><td>4 (0.1%)</td><td>24</td></tr></tbody></table>

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# Countries for 2018

Countries (Top 30) - Full list

<table><thead><tr><th>Countries</th><th></th><th>Unique visitors</th><th>Number of visits</th><th>Pages</th></tr></thead><tbody><tr><td>China</td><td>cn</td><td>938 (48.6%)</td><td>1,606 (48.6%)</td><td>14,461</td></tr><tr><td>United States</td><td>us</td><td>262 (13.6%)</td><td>449 (13.6%)</td><td>3,466</td></tr><tr><td>France</td><td>fr</td><td>153 (7.9%)</td><td>261 (7.9%)</td><td>2,143</td></tr><tr><td>Great Britain</td><td>gb</td><td>98 (5.1%)</td><td>168 (5.1%)</td><td>1,335</td></tr><tr><td>South Africa</td><td>za</td><td>64 (3.3%)</td><td>110 (3.3%)</td><td>1,101</td></tr><tr><td>India</td><td>in</td><td>96 (5.0%)</td><td>164 (5.0%)</td><td>957</td></tr><tr><td>Germany</td><td>de</td><td>58 (3.0%)</td><td>100 (3.0%)</td><td>712</td></tr><tr><td>Australia</td><td>au</td><td>53 (2.7%)</td><td>90 (2.7%)</td><td>645</td></tr><tr><td>Japan</td><td>jp</td><td>38 (2.0%)</td><td>65 (2.0%)</td><td>425</td></tr><tr><td>Canada</td><td>ca</td><td>27 (1.4%)</td><td>46 (1.4%)</td><td>290</td></tr><tr><td>Argentina</td><td>ar</td><td>17 (0.9%)</td><td>29 (0.9%)</td><td>245</td></tr><tr><td>Italy</td><td>it</td><td>13 (0.7%)</td><td>22 (0.7%)</td><td>180</td></tr><tr><td>Mexico</td><td>mx</td><td>14 (0.7%)</td><td>24 (0.7%)</td><td>148</td></tr><tr><td>Russian Federation</td><td>ru</td><td>10 (0.5%)</td><td>18 (0.5%)</td><td>133</td></tr><tr><td>Spain</td><td>es</td><td>9 (0.5%)</td><td>16 (0.5%)</td><td>126</td></tr><tr><td>Poland</td><td>pl</td><td>8 (0.4%)</td><td>15 (0.5%)</td><td>115</td></tr><tr><td>Ethiopia</td><td>et</td><td>6 (0.3%)</td><td>10 (0.3%)</td><td>81</td></tr><tr><td>Pakistan</td><td>pk</td><td>6 (0.3%)</td><td>10 (0.3%)</td><td>71</td></tr><tr><td>Hong Kong</td><td>hk</td><td>5 (0.3%)</td><td>8 (0.2%)</td><td>65</td></tr><tr><td>Belgium</td><td>be</td><td>5 (0.3%)</td><td>9 (0.3%)</td><td>65</td></tr><tr><td>Saudi Arabia</td><td>sa</td><td>4 (0.2%)</td><td>7 (0.2%)</td><td>56</td></tr><tr><td>Netherlands</td><td>nl</td><td>4 (0.2%)</td><td>6 (0.2%)</td><td>49</td></tr><tr><td>Kuwait</td><td>kw</td><td>3 (0.2%)</td><td>4 (0.1%)</td><td>46</td></tr><tr><td>Iran</td><td>ir</td><td>4 (0.2%)</td><td>7 (0.2%)</td><td>44</td></tr><tr><td>Czech Republic</td><td>cz</td><td>4 (0.2%)</td><td>6 (0.2%)</td><td>41</td></tr><tr><td>Chile</td><td>cl</td><td>3 (0.2%)</td><td>5 (0.2%)</td><td>39</td></tr><tr><td>Moldova</td><td>md</td><td>2 (0.1%)</td><td>4 (0.1%)</td><td>32</td></tr><tr><td>Denmark</td><td>dk</td><td>3 (0.2%)</td><td>4 (0.1%)</td><td>31</td></tr><tr><td>Austria</td><td>at</td><td>3 (0.2%)</td><td>5 (0.2%)</td><td>28</td></tr><tr><td>Norway</td><td>no</td><td>2 (0.1%)</td><td>4 (0.1%)</td><td>24</td></tr></tbody></table>

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Promotion

* Computer Demo at PAG 2020 ?

• WheatIS logo ?

* Publication ?

I mentionned the tool in Alaux et al. *Genome Biology* 2018
(with acknowledgements to the WheatIS expert working
group).
Promotion

* Computer Demo at PAG 2020 ?

• WheatIS logo ?

• Publication ?

I mentionned the tool in Alaux et al. *Genome Biology* 2018
(with acknowledgements to the WheatIS expert working
group).
Acknowledgements

<figure><img src="image_43.png" /></figure>

ZURGI

<figure><img src="image_44.png" /></figure>

<figure><img src="image_45.png" /></figure>

WHEAT
INITIATIVE

<figure><img src="image_46.png" /></figure>

RESEARCH DATA ALLIANCE

<figure><img src="image_47.png" /></figure>

INRA
SCIENCE & IMPACT

Part of the

transPLANT

European Plant
Genomics Infrastructure

<figure><img src="image_48.png" /></figure>
Acknowledgements

<figure><img src="image_44.png" /></figure>

ZURGI

<figure><img src="image_45.png" /></figure>

<figure><img src="image_46.png" /></figure>

WHEAT
INITIATIVE

<figure><img src="image_47.png" /></figure>

RESEARCH DATA ALLIANCE

<figure><img src="image_48.png" /></figure>

INRA
SCIENCE & IMPACT

Part of the

transPLANT

European Plant
Genomics Infrastructure

<figure><img src="image_49.png" /></figure>
Questions

Alaux et al., Genome Biology 2018

https://doi.org/10.1186/s13059-018-1491-4

<figure><img src="image_49.png" /></figure>

Linking the International Wheat Genome Sequencin...

The Wheat@URGI portal has been developed to provide
the international community of researchers and breeders
with access to the bread wheat reference genome se...

genomebiology.biomedcentral.com

URGI Contacts: [michael.alaux@inra.fr](mailto:michael.alaux@inra.fr) @michaelalaux

<figure><img src="image_50.png" /></figure>

raphael.flores@inra.fr

<figure><img src="image_51.png" /></figure>

@gnuraph

thomas.letellier@inra.fr

cyril.pommier@inra.fr

hadi.quesneville@inra.fr

<figure><img src="image_52.png" /></figure>

@hquesneville
Questions

Alaux et al., Genome Biology 2018

https://doi.org/10.1186/s13059-018-1491-4

<figure><img src="image_50.png" /></figure>

Linking the International Wheat Genome Sequencin...

The Wheat@URGI portal has been developed to provide
the international community of researchers and breeders
with access to the bread wheat reference genome se...

genomebiology.biomedcentral.com

URGI Contacts: [michael.alaux@inra.fr](mailto:michael.alaux@inra.fr) @michaelalaux

<figure><img src="image_51.png" /></figure>

raphael.flores@inra.fr

<figure><img src="image_52.png" /></figure>

@gnuraph

thomas.letellier@inra.fr

cyril.pommier@inra.fr

hadi.quesneville@inra.fr

<figure><img src="image_53.png" /></figure>

@hquesneville