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Fast and flexible analysis of linked microbiome data with mako
Mako is a software tool that converts microbiome data and networks into a graph database and visualises query results, thus allowing users without programming knowledge to carry out network-based queries. Mako is accompanied by a database compiled from 60 microbiome studies that is easily extended w...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612208/ https://www.ncbi.nlm.nih.gov/pubmed/34887550 http://dx.doi.org/10.1038/s41592-021-01335-9 |
| _version_ | 1783605346229551104 |
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| author | Röttjers, Lisa Faust, Karoline |
| author_facet | Röttjers, Lisa Faust, Karoline |
| author_sort | Röttjers, Lisa |
| collection | PubMed |
| description | Mako is a software tool that converts microbiome data and networks into a graph database and visualises query results, thus allowing users without programming knowledge to carry out network-based queries. Mako is accompanied by a database compiled from 60 microbiome studies that is easily extended with the user’s own data. We illustrate mako’s strengths by enumerating association partners linked to propionate production and comparing frequencies of different network motifs across habitat types. |
| format | Online Article Text |
| id | pubmed-7612208 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-76122082022-06-09 Fast and flexible analysis of linked microbiome data with mako Röttjers, Lisa Faust, Karoline Nat Methods Article Mako is a software tool that converts microbiome data and networks into a graph database and visualises query results, thus allowing users without programming knowledge to carry out network-based queries. Mako is accompanied by a database compiled from 60 microbiome studies that is easily extended with the user’s own data. We illustrate mako’s strengths by enumerating association partners linked to propionate production and comparing frequencies of different network motifs across habitat types. 2022-01-01 2021-12-09 /pmc/articles/PMC7612208/ /pubmed/34887550 http://dx.doi.org/10.1038/s41592-021-01335-9 Text en https://www.springernature.com/gp/open-research/policies/accepted-manuscript-termsUsers may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms |
| spellingShingle | Article Röttjers, Lisa Faust, Karoline Fast and flexible analysis of linked microbiome data with mako |
| title | Fast and flexible analysis of linked microbiome data with mako |
| title_full | Fast and flexible analysis of linked microbiome data with mako |
| title_fullStr | Fast and flexible analysis of linked microbiome data with mako |
| title_full_unstemmed | Fast and flexible analysis of linked microbiome data with mako |
| title_short | Fast and flexible analysis of linked microbiome data with mako |
| title_sort | fast and flexible analysis of linked microbiome data with mako |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612208/ https://www.ncbi.nlm.nih.gov/pubmed/34887550 http://dx.doi.org/10.1038/s41592-021-01335-9 |
| work_keys_str_mv | AT rottjerslisa fastandflexibleanalysisoflinkedmicrobiomedatawithmako AT faustkaroline fastandflexibleanalysisoflinkedmicrobiomedatawithmako |