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id : 933
type : MSc_Thesis
dateandtime : 2020-09-24 16:00:00
duration : 90 min.
Recommended duration for PhD thesis is 90 minutes, for other seminar types, it is 60 minutes. The duration specified here is used to reserve the room.
place : Webinar
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departmental : yes
title : IMPLEMENTATION OF CROSSBAR WEB SERVICE FOR INTERACTIVE
VISUALIZATIONS OF BIOLOGICAL NETWORKS
author : AHMET ATAKAN
supervisors : PROF.DR.M.VOLKAN ATALAY
Supervisors field is applicable especially for a Thesis Defense
company : Computer Engineering Dept. Middle East Technical Univ.
country : Turkey
abstract : Existing computational tools, resources, and services to assist experimental biomed-
ical research lack data diversity and data connectivity and therefore, they are limited

in helping to solve real world problems. Within the framework of CROssBAR project
aiming for drug discovery, CROssBAR database (CROssBAR-DB) integrated diverse

biomedical resources with the predictions of a comprehensive computing resource de-
veloped using machine learning and deep learning-based methods. It is crucial for the

users to perform easily search on CROssBAR-DB, and then to visualize the result of

the search. For this reason, CrossBAR web service (CROssBAR-WS) is designed, de-
veloped and implemented within the scope of this thesis. In CROssBAR-WS, knowl-
edge graphs can be generated by using the open-source graph library Cytoscape.js.

CROssBAR-WS is available at crossbar.kansil.org.
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COW by: Ahmet Sacan