621 to 630 of 1,207 Results
Aug 18, 2022
Orjuela, Julie; Comte, Aurore; Ravel, Sébastien; Charriat, Florian; Vi, Tram; Sabot, Francois; Cunnac, Sébastien, 2022, "Test data, reports and documentation for CulebrONT software: a streamlined long reads multi-assembler pipeline for prokaryotic and eukaryotic genomes", https://doi.org/10.23708/RJDLCN, DataSuds, V1
Related to CulebrONT software, this dataset includes: - data used to test the software - 2 reports generated by the software : from the test data and from other data - supplementary technical information about CulebrONT pipeline |
ZIP Archive - 314.2 MB -
MD5: c1d4d4fb38546ad3e07c34c25203ab73
Dataset used to test CulebrONT code |
Adobe PDF - 1.1 MB -
MD5: 491db3bc9c1d44f16d9eb0a4ce2f4c43
Supplementary information related to CulebrONT pipeline implementation |
ZIP Archive - 27.0 MB -
MD5: 063d9231f2ccd8e571191ab2c2ef503d
Final report generated by CulebrONT software using the test dataset Data-Xoo-sub.zip |
ZIP Archive - 813.6 MB -
MD5: 595aa262a2ffcd91fb88d785cd3fa4dc
Reports generated by the CulebrONT software with data from different organisms (rice, nematoda, bacteria) as described in the PCJ manuscript |
Jun 9, 2022
The main focus of DYNADIV Team is tounderstand how biodiversity of tropical plants is shaped through evolutionary forces resulting from human and environmental impacts. Its activity is essentially based on population genetics but also integrates a multidisciplinary approach inclu... |
Feb 1, 2021 - EVOGEC Team
Guyot, Romain; Orozco-Arias, Simon; Isaza, Gustavo, 2021, "Fasta files for InpactorDB: A Plant classified lineage-level LTR retrotransposon reference library for free-alignment methods based on Machine Learning", https://doi.org/10.23708/QCMOUA, DataSuds, V2
Here, we present InpactorDB a semi-curated dataset composed of 130,511 elements from 195 plant genomes belonging to 108 plant species, classified down to the lineage level. This dataset has been used to train two deep neural networks (one fully connected and one convolutional) fo... |
Unknown - 564.5 MB -
MD5: e7d6bb2820ebf82252f7f39a4f583641
Fasta file for InpactorDB V2. NON-redundant database of LTR retrotransposons. |
ZIP Archive - 292.5 MB -
MD5: 9f7291811eedd0b03d410035f24ae59c
Fasta file for InpactorDB V2. Redundant database of LTR retrotransposons. |
Sep 18, 2020 - CERES Team
Faye, Awa; Chopart, Jean-Louis; Sine, Bassirou; Grondin, Alexandre; Laplaze, Laurent, 2019, "Racine 2.2", https://doi.org/10.23708/CKRDBW, DataSuds, V2, UNF:6:fVTiCa1QVm8CD3Jna7gAdg== [fileUNF]
RACINE2.2 est une application de traitement de données racinaires fondée sur des comptages, sur le terrain, d’impacts de racine au travers d’une grille placée sur un profil de sol. Cette méthode permet de mesurer les intersections entre un plan représenté par ce profil de sol et... |
