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Report

Web-based visualization tools for frameshift detection in SARS-CoV 2 sequencing at Genomics HUB company (GSI LAB)

Viona Pricillia - Personal Name;

This internship report titled “WEB-BASED VISUALIZATION TOOLS FOR FRAMESHIFT DETECTION
IN SARS-COV 2 SEQUENCING AT GENOMICS HUB COMPANY (GSI LAB)” covers the author ’s internship
experiences and tasks to develop a web-based tool. Based on the natural behavior of viruses and/or
diseases that always mutate, it is possible for the coronavirus to mutate and produce new variant
types which might be a new challenge for the healthcare professionals circulating the COVID-19
cases. The internship mainly focuses on the development of the continuation step of the SOP from
the Genomics HUB company which is to construct a web-based visualization tool for detecting the
frameshift mutation that might happen in the Variant Calling File (VCF) from the WF-Artic pipeline
SARS-COV 2 sequencing result. The results show that the tool is capable of detecting the frameshift
mutation including its position, barcode number, and the type of mutation from the VCF file of the
SARS-COV 2 sequencing. This project was done using Python programming language and HTML for
the whole website construction and JavaScript for table filtering. The author managed to complete
the task needed within the time period of the internship.


Availability
#
Reference Collection (EP Report) EP BI002
EP23074
Available
Detail Information
Series Title
-
Call Number
EP BI002
Publisher
i3L, Jakarta : i3L, Jakarta., 2023
Collation
-
Language
English
ISBN/ISSN
-
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Website development
Python programming language
Frameshift mutation
JavaScript
Object Oriented Programming
SARS-COV 2
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

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