An Exploration of Mixed DNA Samples by Forensic Biological Data

Suvarna Vani Koneru, Praveen Kumar Kollu, Geethika Kodali, Naveen Pothineni and Sri Chaitanya Aravapalli
Additional contact information
Suvarna Vani Koneru: Velagapudi Ramakrishna Siddhartha Engineering College, India
Praveen Kumar Kollu: Velagapudi Ramakrishna Siddhartha Engineering College, India
Geethika Kodali: Velagapudi Ramakrishna Siddhartha Engineering College, India
Naveen Pothineni: Velagapudi Ramakrishna Siddhartha Engineering College, India
Sri Chaitanya Aravapalli: Velagapudi Ramakrishna Siddhartha Engineering College, India

International Journal of Natural Computing Research (IJNCR), 2020, vol. 9, issue 2, 1-13

Abstract: This article presents criminal bioinformatics approach which turned out to be fast, exact, and definitive in the evaluation and the investigation of crude DNA profiling information. The most problematic scenario for mixture interpretation, however, is when the amount of DNA is limited for one or more of the sources in a mixture. The present study has examined the utility of legal bioinformatics application to Short Tandem Repeats (STR) information. The DNA profiling information is overseen and investigated on the grounds of the different loci display and changeability in various people. The authors have consolidated a similar general idea Inconstancy in STR areas can be utilized to recognize one DNA profile from another.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJNCR.2020040101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jncr00:v:9:y:2020:i:2:p:1-13

Access Statistics for this article

International Journal of Natural Computing Research (IJNCR) is currently edited by Xuewen Xia

More articles in International Journal of Natural Computing Research (IJNCR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().