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.

MOTIVATION: The CRAM format addresses rising DNA storage costs for short-read sequencing by aligning reads to a reference genome and encoding the resulting alignment with Huffman, subexponential, Elias gamma, rANS, gzip and other codes. The CRAM codec is complex, and until now, there has been no JavaScript implementation. RESULTS: We have developed a JavaScript library, Cram-JS, that natively reads and decompresses the CRAM format on-the-fly. The library is used in the JBrowse and IGV-JS genome browsers and can readily be used by other JavaScript applications, in the web browser or in Node. AVAILABILITY AND IMPLEMENTATION: Cram-JS is written to the ES-6 standard and is available from the GitHub repository at https://github.com/GMOD/cram-js.