It takes the average reader and 51 minutes to read Protein Homology Detection Through Alignment of Markov Random Fields by Jinbo Xu
Assuming a reading speed of 250 words per minute. Learn more
This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) based methods, and then describes a novel Markov Random Fields (MRF) based method developed by the authors. MRF-based methods are much more sensitive than HMM- and PSSM-based methods for remote homolog detection and fold recognition, as MRFs can model long-range residue-residue interaction. The text also describes the installation, usage and result interpretation of programs implementing the MRF-based method.
Protein Homology Detection Through Alignment of Markov Random Fields by Jinbo Xu is 51 pages long, and a total of 12,801 words.
This makes it 17% the length of the average book. It also has 16% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 9 minutes to read Protein Homology Detection Through Alignment of Markov Random Fields aloud.
Protein Homology Detection Through Alignment of Markov Random Fields is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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