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311 to 320 of 800 Results
Aug 18, 2022 - UMR DIADE
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...
Gzip Archive - 829.1 KB - MD5: c9d6c534f6cbdcb0de33a79b1a1a51c0
Code
Source code of culebrONT pipeline stable version 2.1.1
Aug 18, 2022 - UMR DIADE
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
Data
Dataset used to test CulebrONT code
Adobe PDF - 1.1 MB - MD5: 491db3bc9c1d44f16d9eb0a4ce2f4c43
Documentation
Supplementary information related to CulebrONT pipeline implementation
ZIP Archive - 27.0 MB - MD5: 063d9231f2ccd8e571191ab2c2ef503d
DataDocumentation
Final report generated by CulebrONT software using the test dataset Data-Xoo-sub.zip
ZIP Archive - 813.6 MB - MD5: 595aa262a2ffcd91fb88d785cd3fa4dc
DataDocumentation
Reports generated by the CulebrONT software with data from different organisms (rice, nematoda, bacteria) as described in the PCJ manuscript
Aug 1, 2022 - UMR Ceped
Junot, Amandine; Chabanet, Pascale; Ridde, Valéry; Devakarne, Jaela, 2022, "Qualitative data for analysis: semi-directive interviews about Covid-19 pandemic perception and management in Reunion Island in 2021", https://doi.org/10.23708/VMWX3N, DataSuds, V1
These data represent the different perception of Covid-19 and its management in Reunion Island. The corpus constitutes qualitative data obtained via semi-directive interviews of 53 participants which took place early 2021. The study questions the brakes and motors of adherence to...
MS Word - 11.9 KB - MD5: 2330f2b2aca1616adffd32729d49744f
Documentation
Informed consent form (English translation)
MS Word - 75.5 KB - MD5: bec842fd47599696df0b4d12b17dd56f
Data
Interview transcripts (English translation), Word format
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