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Adobe PDF - 38.9 KB - MD5: ed792730f5aa2ce95321c2c9f7cc7232
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Multiple sequences alignment of the three most abundant unique read signatures for each strand of the xisRNA002 locus as well as the sequence of the annotated MSU locus transcript in this window.
Adobe PDF - 37.7 KB - MD5: 43bddb45cbc6c38fd7dda65051be8afa
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Multiple sequences alignment of the three most abundant unique read signatures for each strand of the xisRNA006 locus as well as the sequence of the annotated MSU locus transcript in this window.
Adobe PDF - 38.3 KB - MD5: dc55589ab73b6ba93f1eecabd4d093fc
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Multiple sequences alignment of the three most abundant unique read signatures for each strand of the xisRNA007 locus as well as the sequence of the annotated MSU locus transcript in this window.
Adobe PDF - 39.3 KB - MD5: 6c4f17dd6e5181969cca00188faa63e5
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Multiple sequences alignment of the three most abundant unique read signatures for each strand of the xisRNA009 locus as well as the sequence of the annotated MSU locus transcript in this window.
Adobe PDF - 38.8 KB - MD5: 804f2621d10c84bb799ce7221ab78453
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Multiple sequences alignment of the three most abundant unique read signatures for each strand of the xisRNA010 locus as well as the sequence of the annotated MSU locus transcript in this window.
Adobe PDF - 38.5 KB - MD5: 8d414ef10406ec357a3b99a05aa73b74
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Multiple sequences alignment of the three most abundant unique read signatures for each strand of the xisRNA022 locus as well as the sequence of the annotated MSU locus transcript in this window.
Adobe PDF - 39.1 KB - MD5: 21d67884a8775769d05e34b913916cc6
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Multiple sequences alignment of the three most abundant unique read signatures for each strand of the xisRNA023 locus as well as the sequence of the annotated MSU locus transcript in this window.
Adobe PDF - 1.2 MB - MD5: 66207b93e4cd7478cb290c59948b9f03
Methodological brief or performing the random forest model and the speed threshold method
Adobe PDF - 937.5 KB - MD5: e20bd03d00be7cb8389abbfc6ef3d872
Documentation
Réaliser un Plan de gestion de données (PGD) dans le cadre d’un projet de thèse en articulation avec un entrepôt de la donnée scientifique dataverse : retour d'une expérience en cours au sein de l’Ivory Coast Development Fabric Knowledge Laboratory [IC-DFK Lab]. Présentation fait...
Adobe PDF - 461.9 KB - MD5: 7c5bc28836d4e9dd1d6b702f299f9c70
Analyses et propositions de Dominique Couret pour participation à la réponse de l'IRD à l'Appel « Pathways to Sustainability » https://www.belmontforum.org/cras/#pathways2020 transmis par d2s <d2s@ird.fr> le 27 juillet 2020
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