Usporedite metode

	Metagenomsko grupisanje	Pretraga HMMER profila
Područje	Bioinformatika	Bioinformatika
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	2011	1994
Tvorac	Jillian Banfield	Sean Eddy
Vrsta	Sequence assembly and clustering pipeline	Probabilistic sequence search pipeline
Temeljni izvor	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.	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.
Drugi nazivi	metagenomic assembly, genome binning, MAG recovery	profile-hidden Markov model, HMM profile search, HMMER
Srodne	3	3
Sažetak	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.	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.