विधियों की तुलना करें

	CRISPR स्क्रीन विश्लेषण	HMMER प्रोफ़ाइल खोज
क्षेत्र	जैव सूचना विज्ञान	जैव सूचना विज्ञान
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	2013	1994
प्रवर्तक	Feng Zhang	Sean Eddy
प्रकार	High-throughput genetic screen pipeline	Probabilistic sequence search pipeline
मौलिक स्रोत	Shalem, O., Sanjana, N. E., Hartenian, E., Shi, X., Scott, D. A., Mikkelsen, T. S., ... & Zhang, F. (2014). Genome-scale CRISPR-Cas9 knockout screening in human cells. Science, 343(6166), 84-87.	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.
उपनाम	CRISPR pooled screen, genetic screen analysis	profile-hidden Markov model, HMM profile search, HMMER
संबंधित	3	3
सारांश	CRISPR screen analysis processes data from pooled genetic screens using CRISPR-Cas9 to identify genes required for cell growth, survival, or phenotype in specific conditions. Developed by Zhang, Sanjana, and others, this computational pipeline transforms sequencing readouts of guide RNA abundances into ranked lists of functional genes.	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.