A case study on minimum energy operation for dynamic time warping signal processing in wearable computers

2015 ◽  
Author(s):  
Javad Birjandtalab ◽  
Qingxue Zhang ◽  
Roozbeh Jafari
Keyword(s):  
Signal Processing ◽  
Dynamic Time Warping ◽  
Minimum Energy ◽  
Wearable Computers ◽  
Time Warping ◽  
Dynamic Time

scholarly journals Sequoia: An interactive visual analytics platform for interpretation and feature extraction from nanopore sequencing datasets

2019 ◽  
Author(s):  
Ratanond Koonchanok ◽  
Swapna Vidhur Daulatabad ◽  
Quoseena Mir ◽  
Khairi Reda ◽  
Sarath Chandra Janga
Keyword(s):  
Visual Analytics ◽  
Dynamic Time Warping ◽  
Visualization Tool ◽  
Web Interface ◽  
Time Warping ◽  
Front End ◽  
Oxford Nanopore ◽  
Dynamic Time ◽  
Oxford Nanopore Technologies

AbstractSequoia is a visualization tool that allows biologists to explore characteristics of signals generated by the Oxford Nanopore Technologies (ONT) in detail. From Fast5 files generated by ONT, the tool displays relative similarities between signals using the dynamic time warping and the t-SNE algorithms. Raw signals can be visualized through mouse actions while particular signals of interest can also be exported as a CSV file for further analysis. Sequoia consists of two major components: the command-line back-end that performs necessary computations using Python and the front-end that displays the visualization through a web interface. Two datasets are used to conduct a case study in order to illustrate the usability of the tool.

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