Additional file 12 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities

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Description:
Additional file 12: Table S8. Computational performance statistics of MetaPro, HUMAnN3, and SAMSA2. This table reports the amount of processing time required for each run of the three pipelines.  MetaPro additionally exports the timing data of each stage independently. HUMAnN3’s pre-processing step is a separate stage using a separate tool called KneadData. SAMSA2 cleans the data in the pipeline, but it is integrated and does not export timing data.
Auteur(s) :
Taj, Billy

Taj, Billy

Hospital for Sick Children
, Adeolu, Mobolaji

Adeolu, Mobolaji

Hospital for Sick Children
, Xiong, Xuejian

Xiong, Xuejian

Hospital for Sick Children
, Ang, Jordan

Ang, Jordan

University of Toronto
, Nursimulu, Nirvana

Nursimulu, Nirvana

University of Toronto Hospital for Sick Children
et Parkinson, John

Parkinson, John

University of Toronto Hospital for Sick Children
Dépôt source:
Figshare
Éditeur(s):
figshare
License:
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode
URL:
https://springernature.figshare.com/articles/dataset/Additional_file_12_of_MetaPro_a_scalable_and_reproducible_data_processing_and_analysis_pipeline_for_metatranscriptomic_investigation_of_microbial_communities/26600323
Date de publication:
2024
Sujets (en):
FOS: Biological sciences, Biological Sciences not elsewhere classified, Microbiology, Genetics, Molecular Biology, Space Science, et Information Systems not elsewhere classified
Identificateur:
https://doi.org/10.6084/m9.figshare.26600323

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Additional file 12 of MetaPro: a scalable and reproducible data processing and analysis pipeline for metatranscriptomic investigation of microbial communities. (2024). [Data set]. Figshare. https://springernature.figshare.com/articles/dataset/Additional_file_12_of_MetaPro_a_scalable_and_reproducible_data_processing_and_analysis_pipeline_for_metatranscriptomic_investigation_of_microbial_communities/26600323
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