Open Bioinformatics Foundation

Mentors: Student: Federica Trevisan

<h3>Synopsis</h3> <p>WellcomeML is a python package containing a set of utility functions that use machine learning for reading, processing, embedding and classifying academic text data like publications, grants, and other documents. The need for developing a new feature for expanding WellcomeML with further visualisation modules has emerged; in this specific case the objective is to create a standard interactive visualisation tool for the results of the clustering algorithm present in the library.</p>

Mentors: Student: Shrey Sachdeva

<p>The goal of this project would be to develop a web based user interface to visualise the variant prediction data from VEP plugin using the neXtProt tools to make it easily accessible to the users. The interface would be designed in such a way that it is performant, scalable and can easily handle large amounts of data that is computed by the VEP plugin API.</p>

Mentors: Student: Kunwar Maheep Singh

<p>This project aims to add portable implementations for SIMD ISA extension AVX-512 functions which are not yet supported by SIMDe. This will make development with highly optimized code more universal and allow developers to write and test vectorized code for many applications even without access to specific hardware.</p>

Mentors: Student: Isaac Miti

<p>The Code is science website is currently built using vanilla HTML, CSS and JavaScript with Ruby as part of its backend. The current frontend needs to be redesigned and updated.</p>

Mentors: Student: Dhanmoni Nath

<p>This project aims to enable JavaScript visualizations in TOPPView using Qt WebEngine and its different modules.</p>