A D3 visualization of the Smith-Waterman local alignment algorithm. Calculates optimal local alignment given specified parameters. The visualization is relatively adaptive to different input sequences. Works with classic sequences containing of one-letter-elements or text sequences with longer words.
You can try it out on my website.
MIT License
Copyright (c) 2016 Fridolin Linder
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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