MAPLE 2.3.0: an improved system for evaluating the functionomes of genomes and metagenomes
| Autor: | Takeaki Taniguchi, Kazuhiro Takemoto, Yuki Moriya, Wataru Arai, Hiroyuki Ogata, Hideto Takami, Hideya Uehara, Susumu Goto |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Computer science 030106 microbiology Datasets as Topic Computational biology engineering.material Applied Microbiology and Biotechnology Biochemistry Genome Analytical Chemistry 03 medical and health sciences Annotation Automation KEGG Amino Acids Databases Protein Molecular Biology Maple Organic Chemistry Computational Biology General Medicine 030104 developmental biology engineering Metagenome Software Biotechnology |
| Zdroj: | Bioscience, biotechnology, and biochemistry. 82(9) |
| ISSN: | 1347-6947 |
| Popis: | MAPLE is an automated system for inferring the potential comprehensive functions harbored by genomes and metagenomes. To reduce runtime in MAPLE analyzing the massive amino acid datasets of over 1 million sequences, we improved it by adapting the KEGG automatic annotation server to use GHOSTX and verified no substantial difference in the MAPLE results between the original and new implementations. |
| Databáze: | OpenAIRE |
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