31 to 40 of 41 Results
Dec 19, 2022 - TrEMOLO software - Data and codes
SABOT, Francois; MOHAMED, Mourdas, 2022, "v2.2-beta1 version used for the publication data of TrEMOLO", https://doi.org/10.23708/2FYBUL, DataSuds, V2
This dataset is the locked software version used for the publication of TrEMOLO. It represents the v2.2-beta1 version |
Dec 19, 2022 - TrEMOLO software - Data and codes
SABOT, Francois; MOHAMED, Mourdas, 2022, "Replication data for simulated reads for S1, S2 and S3 genomes for the TrEMOLO paper", https://doi.org/10.23708/N447VS, DataSuds, V1
This dataset contains the simulated reads used to validate TrEMOLO. The reads were created using DeeepSimulator v1.5 (https://github.com/liyu95/DeepSimulator/releases/tag/v1.5) using the options -B 2 -K n -l 20000. |
Dec 16, 2022 - TrEMOLO software - Data and codes
SABOT, Francois; MOHAMED, Mourdas, 2022, "Simulated genome sequences for replication control for TrEMOLO", https://doi.org/10.23708/DSDTZ0, DataSuds, V1
This dataset contains the simulated genomes based on the G0-F100 initial sequence including the INSIDERs and OUTSIDERs simulated insertions. |
Amimi, Nabil; Ghouil, Hana; Zitouna-Chebbi, Rim; Joët, Thierry; Ammari, Youssef, 2022, "Replication Data for Distribution of Quercus ilex subsp. rotundifolia in Tunisia and intraspecific variation of seed morphophysiological traits along climatic gradients", https://doi.org/10.23708/TYFN5U, DataSuds, V1, UNF:6:cHGNf+36WqEUqJV2nD6V3w== [fileUNF]
This dataset gathers geographical information for the distribution sites of Quercus ilex subsp. rotundifolia in Tunisia in 2020, as well as climatic data and seed morpho-physiological traits associated with the 18 main populations identified. In order to identify adaptations to l... |
Orjuela, Julie; Comte, Aurore; Ravel, Sébastien; Charriat, Florian; Vi, Tram; Sabot, François; Cunnac, Sébastien, 2022, "Source code of CulebrONT: a streamlined long reads multi-assembler pipeline for prokaryotic and eukaryotic genomes", https://doi.org/10.23708/TBPNWJ, DataSuds, V3
CulebrONT is an open-source, scalable, modulable and traceable snakemake pipeline, able to launch multiple assembly tools in parallel and providing help for choosing the best possible assembly. Documentation: https://culebront-pipeline.readthedocs.io/en/2.1.1/ Code development: h... |
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 |
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... |
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... |
Sep 2, 2020 - CERES Team
Grondin, Alexandre; Affortit, Pablo; Tranchant-Dubreuil, Christine; De La Fuente Canto, Carla; Mariac, Cedric; Gantet, Pascal; Vadez, Vincent; Vigouroux, Yves; Laplaze, Laurent, 2020, "Aquaporins in Pearl Millet: genomic, coding and protein sequences", https://doi.org/10.23708/WVCG5O, DataSuds, V1
Pearl millet (Pennisetum glaucum (L) R. Br.) is a key cereal for food security in arid and semi-arid regions but its yield is increasingly threatened by water stress. Physiological mechanisms consisting in saving water or increasing water use efficiency can alleviate that stress.... |
Guyot, Romain; Hamon, Perla; Couturon, Emmanuel; Raharimalala, Nathalie; Rakotomalala, Jean-Jacques, 2020, "Photo bank for: WCSdb: A database of Wild Coffea Species", https://doi.org/10.23708/JZA8I2, DataSuds, V1, UNF:6:D4jmlyKfcJyf9HHyxzxguQ== [fileUNF]
Coffee is a beverage enjoyed by millions of people worldwide and an important commodity for millions of people. Beside the two cultivated species (Coffea arabica and Coffea canephora), the 139 wild coffee species belong to the Coffea genus are largely unknown to coffee scientists... |
