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Published on: December 1, 2017
Machine Boss: rapid prototyping of bioinformatic automata
Jordi Silvestre-Ryan1, Yujie Wang1, Mehak Sharma1
1Department of Bioengineering, University of California, Berkeley, CA 94720, USA.
Motivation:
Many software libraries for using Hidden Markov Models in bioinformatics focus on inference tasks, such as likelihood calculation, parameter-fitting and alignment. However, construction of the state machines can be a laborious task, automation of which would be time-saving and less error-prone.
Results:
We present Machine Boss, a software tool implementing not just inference and parameter-fitting algorithms, but also a set of operations for manipulating and combining automata. The aim is to make prototyping of bioinformatics HMMs as quick and easy as the construction of regular expressions, with one-line 'recipes' for many common applications. We report data from several illustrative examples involving protein-to-DNA alignment, DNA data storage and nanopore sequence analysis.
Availability And Implementation:
Machine Boss is released under the BSD-3 open source license and is available from http://machineboss.org/.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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