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Apr 23, 2021
Sauvion, Nicolas, 2020, "Compilation of occurrence data for two psyllid species of the Cacopsylla pruni complex (Hemiptera: Psylloidea)", https://doi.org/10.15454/VC9UR5, Portail Data INRAE, V6, UNF:6:81MDm5jUVHh9vEcJTNe31w== [fileUNF]
Plant diseases associated with psyllid vectors have spread rapidly and globally among commercially important cultures, causing great economic damage (e.g., on stone fruit trees, citrus, and potatoes). A better understanding of the potential range of the vector and host species is...
text/tab-separated-values - 1.2 MB - MD5: 322a2ba59e49911a799dff1d2dc306bf
Données
Modification of the column 'occurrence': new modalities
Apr 10, 2021 - Transposons mobility in M. incognita
Kozlowski, Djampa; Da Rocha, Martine; Danchin, Eienne, 2020, "TE-related genes: annotation, characterisation, and expression.", https://doi.org/10.15454/DLDJVF, Portail Data INRAE, V2, UNF:6:eKPs0JUt+cT1C/bqgPBVjg== [fileUNF]
This dataset contains the gene analysis workflow used to evaluate the genes expression and to find the genes potentially involved in the TEs transposition machinery. Also, it contains the gene annotation file (bed format), the proteome stem from (https://doi.org/10.1371/journal.p...
application/octet-stream - 15.0 KB - MD5: a289e7b2ac27cf677d3bb17c88473a6e
gene analysis workflow used to evaluate genes expression and to find genes potentially involved in the TEs transposition machinery.
text/plain - 7.3 KB - MD5: f32e11c63eafc5d7634c0d7f67002959
List of genes (ID) with both TE-related domains and non-TE related domains. Produced by get_genes_list_from_hmmer_output.py
text/plain - 31.5 KB - MD5: d6d46ec2de1791978c8f0d6e19161bf3
List of genes with only TE-related domains. Produced by get_genes_list_from_hmmer_output.py
text/plain - 393.8 KB - MD5: 5e2a585d175d38ca742ee07d9888eab7
List of genes with no TE-related domains. Produced by get_genes_list_from_hmmer_output.py
text/plain - 38.8 KB - MD5: 68bb753f9425f07f36312dd223c5bf1d
Concatenation of the genes ID list contained in genesWithBothTypesOfDomains.minc_v3.txt and genesWithOnlyTErelatedDomains.minc_v3.txt
text/x-python - 20.9 KB - MD5: a24db3926c74a0d8fbaffe461ab0f2e1
In-house python (>=3) scripts which take as input HMMER3 output (tabular format) and extract the best HMM profiles chain for each protein. Requires the following libraries: sys, os, csv, re, pandas
text/x-python - 2.1 KB - MD5: 4e7a2f0cf78643701e5ed0b606d3ce21
In-house python (>=3) scripts which create gene list from get_genes_domains_from_hmmer3_output.py output. Requires the following libraries: sys, os
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