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UMR DIADE (IRD, University of Montpellier, Cirad)

DIversity - Adaptation - plant DEvelopment

The DIADE Research Unit aims to understand the diversification of tropical plants, one of the main original reservoirs of biodiversity, and for which conservation, management and exploitation are an important issue for Sustainable Development.

The nine teams forming the Unit belong to IRD, University of Montpellier, CIRAD, and CNRS.
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1 to 10 of 20 Results
Jan 27, 2023 - DYNADIV Team
Tranchant, Christine; Chenal, Clothilde; Blaison, Mathieu; Albar, Laurence; Klein, Valentin; Mariac, Cédric; Wing, Rod; Vigouroux, Yves; Sabot, Francois, 2022, "Supporting data and code for the African Rice Panreference produced by the frangiPANe software", https://doi.org/10.23708/93OQMD, DataSuds, V3, UNF:6:J8wm0efC8Lf7KQQ/txrx4Q== [fileUNF]
We present here FrangiPANe (https://github.com/tranchant/frangiPANe), a pipeline developed to build panreference using short reads through a map-then-assemble strategy and a dataset corresponding to 515 Mb of new sequences (484,394 non redundant sequences) in addition to the CG14...
Jan 5, 2023 - CERES Team
Vadez, Vincent; Bossuet, Jérome; Chehbouni, Abdelghani; Kharrou, Mohamed (Hakim); Jacob, Frederic; Mekki, Insaf; Zitouna Chebbi, Rim; Belhouchette, Hatem; Hassenforder, Emeline; Faysse, Nicolas; Hajjarpoor, Amir; Rebolledo, Maria Camila; Cohard, Jean-Martial; Vandervaere, Jean-Pierre; Dolinska, Aleksandra; Sultan, Benjamin, 2021, "France-CGIAR BRIDGE collaboration: integrated model-based approaches for climate and water smart decisions", https://doi.org/10.23708/IY0MZY, DataSuds, V3, UNF:6:r1Sk6vJDiM0/k0efcWB/bQ== [fileUNF]
The CGIAR is undertaking a global reform, oneCGIAR, to deploy faster, at larger scale agricultural innovations for a more inclusive and systemic transformation of smallholder agriculture in the developing countries. France has been supporting this reform since 2018 and IRD is ful...
Dec 19, 2022 - DYNADIV Team
Cisse, Aby; Clermont-Dauphin, Cathy; Sall, Saidou Nourou; Ndir, Khadidiatou; Kane, Ndjido Ardo; Renard, Delphine; Violle, Cyrille; Barnaud, Adeline; Berthouly-Salazar, Cecile, 2022, "Data for: Varietal mixtures of Sahelian smallholders conciliate enhanced yield and agrobiodiversity conservation", https://doi.org/10.23708/SVJS1T, DataSuds, V1, UNF:6:jEDyzHjdv0cMJIPXU7rROw== [fileUNF]
This study was co-designed with farmers’ organizations in Senegal with the aim of assessing the impacts of the mixing of early- and late-flowering pearl millet landraces (Cenchrus americanus) on in situ yield, i.e. in poor soil conditions with limited fertilization on smallholder...
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.
TrEMOLO software - Data and codes logo
Dec 16, 2022
TrEMOLO is a bioinformatics tool dedicated to the detection of transposable elements movements using long reads. This dataverse contains all the data that we used for the TrEMOLO paper: the simulated dataset, the source code of TrEMOLO as well as all the accessory codes. "TrEMOLO...
Sep 22, 2022 - ADvENS Team
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...
ADvENS Team(UMR DIADE)
ADvENS Team logo
Sep 9, 2022
ADvENS Team The ADvENS team performs integrative analyses of the diversity and environmental adaptation of tropical and Mediterranean trees. In particular, the team aims to better understand the evolution of genomes, transcriptomes and metabolisms associated with local adaptation...
Aug 18, 2022
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...
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