UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2204057


Registration ID:
400121

Page Number

a443-a448

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Title

Genome Analysis, Site Detection & mRNA Sequence Identifier In Real World Using Augmented Reality

Abstract

Augmented reality is a interactive platform in our real world. It can be taken as an application for many technical fields. We have taken AR as an application for Biotechnology. We all know about beauty of bioinformatics, a technique which is developing to collect the biomolecules data at the molecular level into huge the database and using collected data for analysis of many biological problem. In our innovative work, we have put together all these technique in one mobile app. In this innovative work using augmented reality, the biomolecules projected to the real world which represents different techniques like Sequence alignment, Genome analysis, detection of binding site for Proteins (or) Enzymes, identifying sequence for Gene expression, Predicting the 3D structure of Protein using the protein sequence. This mobile application is developed by incorporating the augmented reality technology. We gave a name for our AR mobile app as "Geno - Augmented Reality Mobile App (GARMA)". In this application we are expressing the results of the genome analysis through AR . For this project we are taking three Myoglobin sequences are “Homo sapiens, Azotobacter vinelandii, Acinetobacter calcoaceticus” which are retrieved in the FASTA format from the NCBI database. First to find the similar sequences to our sequences the sequences is loaded on to BLAST in FASTA format to get percentage similar and identical sequences. In those three sequences the one is known (Myoglobin (homo)) and the other two are unknown sequences. The known sequence is then aligned pairwise with unknown sequences then their characteristics like similarity, identity and gaps are shown in AR. The sequence that is more similar to the known sequence is taken and it is converted to RNA and then to protein by using the transcription and translation method in AR. To show these in Real world in 3D by augmented reality we have loaded the required database Unity Software.We have used Vuforia platform to get the target image license. Vuforia license database helps to get the information related to target-image and to connected with Unity. It is a platform which is used to build simulations and application in virtual reality, augmented reality, 3- dimensional and 2-dimensional. Visual studio code is used for programming or scripting of the application for it to be interactive with the user. In Unity we have built a marker based augmented reality. So an image is kept as a marker so that when the application scans that particular image it opens up the first scene that we have built in Unity that is the menu which contains myoglobin (Homo sapiens), two buttons for GA1 and GA2. By clicking any of the two buttons we get to know about the alignment of the unknown sequences and the known myoglobin sequence. Further the most similar sequence can be made to go through process of transcription to get the mRNA and then through process of translation to get the protein by clicking the buttons present in the respective scenes. Every scenes are in “real world and in 3-Dimensional” which makes very curious.

Key Words

Biotechnology, Augmented Reality, Gene Expression, 3DBiomolecules, Unity Software, Vuforia.

Cite This Article

"Genome Analysis, Site Detection & mRNA Sequence Identifier In Real World Using Augmented Reality", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.a443-a448, April-2022, Available :http://www.jetir.org/papers/JETIR2204057.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Genome Analysis, Site Detection & mRNA Sequence Identifier In Real World Using Augmented Reality", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppa443-a448, April-2022, Available at : http://www.jetir.org/papers/JETIR2204057.pdf

Publication Details

Published Paper ID: JETIR2204057
Registration ID: 400121
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: a443-a448
Country: Mysuru, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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