Plant Health Institute of Montpellier

Among the interactions between the plant and its environment (microbial organisms or insects, whether pathogenic or beneficial), the research unit studies those that have an impact on plant health, growth and productivity. The unit is organized in 4 research departments:
  • Plant-pathogen interactions (ITEM)
  • Plant-vector-pathogen interactions (VIROM)
  • Towards an understanding of the phytobiome (PHYTOBIOM)
  • Understanding epidemics in the field (PRISM)
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31 to 40 of 66 Results
Tabular Data - 41.9 MB - 74 Variables, 44137 Observations - UNF:6:RP6B9JcVkkPIxyMZCSMH3Q==
Data
Count data and differential expression of 44137 Meloidogyne graminicola genes in transcriptomes obtained during rice (O. sativa or O. glaberrima) infection
Unknown - 52.9 MB - MD5: 27fd7d803dc6c8351409dc2881a00096
Data
Nucleotide sequences of 44137 Meloidogyne graminicola genes
Tabular Data - 13.9 MB - 37 Variables, 94719 Observations - UNF:6:jdkGW/8VhWIPR5jUnVyxTw==
DataGenomics
Computed gene expression values and differential expression statistics in Nipponbare leaves inoculated with the African Xoo strain BAI3 and a derivative or mock as a tab delimited file.
Unknown - 77.2 MB - MD5: d3a76a24cab4b3c1f202c001fee97663
DataGenomics
Genes and transcripts annotation inferred on the rice Nipponbare genome (Os-Nipponbare-Reference-IRGSP-1.0) with StringTie using both MSU7 reference annotation and experimental mRNA-seq data in the Gene Transfer Format (GTF).
Tabular Data - 1.3 KB - 2 Variables, 26 Observations - UNF:6:7mdOtqDWQAaARFF7ymJ0cA==
Documentation
Data dictionary
Tabular Data - 3.6 KB - 27 Variables, 19 Observations - UNF:6:pn1IyJWDNR6V/aXS5HJBzA==
DataGeospatial
Soil analysis data
Adobe PDF - 1.1 MB - MD5: 987592a7853936fc6d6d470a55870dc4
Documentation
Methodology for rice field soil sampling and soil analysis (in French and in English)
HTML - 83.6 MB - MD5: 289cce939aa787443e70f5eb880ee575
CodeDocumentation
This HTML file records the code and the output of most secondary analysis computing tasks performed to generate the material that is relevant to the manuscript on xisRNAs referenced in the Related Publication metadata. See the RData file to access the individual objects in the R...
R Markdown Text - 324.6 KB - MD5: ede28f634dc2712e930c4d8c3783e472
CodeDocumentation
This R Markdown file records the code of most secondary analysis computing tasks performed to generate the material that is relevant to the manuscript on xisRNAs referenced in the Related Publication metadata. The accompanying html file was generated using this rmd file.
R Data - 849.4 MB - MD5: d52bc72c86361b747f98eb875e13a00d
Data
R statistical programming language RData file storing the objects created for the production of the "PHIM_ xisRNA_MS_dataverse_code.html" file using the R code found in the html file itself as well as in the "PHIM_ xisRNA_MS_dataverse_code.Rmd" R Markdown file.
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