0532946 - MBÚ 2021 RIV US eng J - Článek v odborném periodiku
Dias, C. K. - Starke, Robert - Pylro, V.S. - Morais, Daniel
Database limitations for studying the human gut microbiome.
PeerJ Computer Science. Roč. 2020, AUG 17 (2020), č. článku e289. ISSN 2376-5992. E-ISSN 2376-5992
Grant CEP: GA MŠMT(CZ) LM2015055
Institucionální podpora: RVO:61388971
Klíčová slova: carbohydrate-active enzymes * gene * kegg * Human Microbiome * Gut microbiome * Functional diversity * EggNOG
Obor OECD: Microbiology
Impakt faktor: 1.392, rok: 2020
Způsob publikování: Open access
https://peerj.com/articles/cs-289/#

Background. In the last twenty years, new methodologies have made possible the gathering of large amounts of data concerning the genetic information and metabolic functions associated to the human gut microbiome. In spite of that, processing all this data available might not be the simplest of tasks, which could result in an excess of information awaiting proper annotation. This assessment intended on evaluating how well respected databases could describe a mock human gut microbiome.
Trvalý link: http://hdl.handle.net/11104/0311554