Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Търсене с HMMER профили× | Метагеномно биниране× | |
|---|---|---|
| Област | Биоинформатика | Биоинформатика |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1994 | 2011 |
| Създател≠ | Sean Eddy | Jillian Banfield |
| Тип≠ | Probabilistic sequence search pipeline | Sequence assembly and clustering pipeline |
| Основополагащ източник≠ | Krogh, A., Brown, M., Mian, I. S., Sjölander, K., & Haussler, D. (1994). Hidden Markov models in computational biology: applications to protein modeling. Journal of Molecular Biology, 235(5), 1501-1531. DOI ↗ | Kang, D. D., Froula, J., Egan, R., & Wang, Z. (2015). MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities. PeerJ, 3, e1165. DOI ↗ |
| Други названия | profile-hidden Markov model, HMM profile search, HMMER | metagenomic assembly, genome binning, MAG recovery |
| Свързани | 3 | 3 |
| Резюме≠ | HMMER profile search identifies distant protein sequence homologs using probabilistic models of protein families, known as profile Hidden Markov Models (HMMs). Developed by Eddy and colleagues, this method captures sequence variation patterns within protein families and detects homologs with far greater sensitivity than position-weight matrices or pairwise alignment. | Metagenomic binning partitions assembled contigs from complex microbial communities into distinct genome bins, each representing an individual organism or strain. Pioneered by Banfield and colleagues, this pipeline isolates single-organism genomes (metagenome-assembled genomes or MAGs) from environmental samples without requiring cultivated isolates. |
| ScholarGateНабор от данни ↗ |
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