The search module builds search output as a tabular view that is linked to a full description and genomic context for each selected gene.
RightEye tracks these movements with a custom device that looks a bit like an all-in-one desktop; it uses a Tobii eye-tracking module built into a single-purpose computer loaded with a library of simple tests.
The SimBio Virtual Labs® module Genetic Drift and Bottlenecked Ferrets (Herron et al. 2014) is a learning module built around a series of interactive simulations.
The module builds simulated MS2 m/z ion scans in a form of numpy arrays for the reference and decoy peptide sequences at the same time.
Output data is passed to the tile divider module, which builds a tiled triangle list for the RE.
To this end, the sequence of updates produced by the filtering algorithm is fed to a python module that builds a representation of a dynamic graph, namely an object that handles each of the updates and reflects the changes to its current structure.
48 HealthTracker assessment data (eg, CVD risk factors and scores, medications and other treatment advice) are uploaded securely to a consumer-focused CVD-specific module built using a e-health record architecture.
This module builds the required analytic signal for demodulation based on the transmitted QAM signal.
The module builds on top of the solution provided for the known Santa Fe Bar Problem (SFBP).
Each module builds on the concepts covered in previous modules to reinforce learning.
