941 to 950 of 8,481 Results
Mar 18, 2025 -
Data used for the analysis described in GrAnnoT paper
Unknown - 4.3 GB -
MD5: f541072bfc36b01c4bb1609192c272b9
Pangenome graph adapted from the file "RiceGraph_MGC.gfa" by converting the walks into paths. |
Mar 18, 2025 -
Data used for the analysis described in GrAnnoT paper
Unknown - 4.6 GB -
MD5: e58d668a5ea6a6a2f2c8033032adcfb4
Pangenome graph built with the same data as the file "RiceGraph_MGC.gfa", but with a different genome used as reference (Os127652RS1). |
Mar 18, 2025 -
Output from the analysis described in GrAnnoT paper
Unknown - 4.3 GB -
MD5: 3ac4d2629fafbc7ffa77ef106d417e84
Rice pangenome graph with paths converted in .xg format by VG. |
Mar 12, 2025 - UMR Eco&Sols
Robin, Agnès; Brondani, Margot; Marchal, Julie; Pablo, Anne-Laure; Personne, Aline; Desmarais, Erick; Cerqueira, Frédérique; Mahé, Frédéric; Degrune, Florine; Guillemot, Joannès; Brancalion, Pedro H.S.; Fromin, Nathalie, 2025, "Large variability of soil microbial diversity and functions in an over 20-year old Eucalyptus grandis plantation", https://doi.org/10.18167/DVN1/QN22CM, CIRAD Dataverse
These data were collected as part of the DIVTROP project (What biological mechanisms link biodiversity to tropical forest functioning? A tree experiment in Brazil) funded by the Labex Cemeb, in the MataDIV experiment area (just before the planting). The spatial heterogeneity in s...This dataset is harvested from another repository. The link will take you directly to the source of the data. |
Mar 11, 2025 - LMI PathoBios
Guigma, Abdoul Kader; Saengram, Phonsiri; Bangratz, Martine; Kassankogno, Itolou Abalo; Tollenaere, Charlotte; Billard, Estelle, 2025, "Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)", https://doi.org/10.23708/QB8BOO, DataSuds, V1, UNF:6:8ljQXziWNW5W0EiHZ9s4Cg== [fileUNF]
Co-occurrence of multiple diseases and co-infection of individual plants by various pathogens have potential epidemiological and evolutionary implications. However detailed epidemiolocal assessment involving multiple diseases remain rare, especially considering pathogens from dif... |
Adobe PDF - 781.5 KB -
MD5: 95c7d911e228571136e3c9714ec219fe
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Tabular Data - 822 B - 2 Variables, 9 Observations - UNF:6:L84yCWlkRv7HHl0bdwFInQ==
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Tabular Data - 1.5 KB - 10 Variables, 26 Observations - UNF:6:OTC2TskyC2R/wV7kFG+Sng==
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Tabular Data - 736 B - 2 Variables, 8 Observations - UNF:6:HUOjDVDbE51q1hCiPx/pVw==
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Tabular Data - 33.3 KB - 9 Variables, 720 Observations - UNF:6:75yR8ostkW8JH4T5fFN93A==
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