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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/81533
Title: | SSRmine: Python-based command-line toll for precise genomic SSR Markers’ extraction |
Other Titles: | Not Available |
Authors: | Shabana Begam Samarth Godara Ramchandaran Bhattacharya Rajender Parsad Sudeep Marwaha |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Institute for Plant Biotechnology ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2023-12-15 |
Project Code: | Not Available |
Keywords: | QTL mapping, Molecular marker, Simple Sequence Repeats |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Crop improvement, integral to global food security and environmental sustainability, has been significantly enhanced by molecular markers. Simple Sequence Repeats, or microsatellites, stand out as crucial markers due to their unique tandem repeat structure across genomes. These markers are pivotal in genetic diversity assessment, QTL mapping, and marker-assisted selection in crop breeding programs. Despite existing SSR extraction tools, challenges persist, including the need for language-specific expertise and limitations in handling complex genome data. To address these issues, we introduce SSRmine, a userfriendly Python-based tool designed for efficient SSR extraction from diverse sequence data. SSRmine employs a novel algorithm to analyze sequences systematically, extracting SSR markers of varying lengths. The presented tool's design ensures ease of use, platform independence, and adaptability, catering to researchers with varying computational expertise. The study results show that SSRmine significantly improves accessibility to SSR extraction, offering a robust solution for researchers involved in genetic variation studies. The tool's efficiency and versatility make it a valuable asset in advancing crop improvement strategies through precision breeding. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Biological Forum – An International Journal |
Journal Type: | Not Available |
NAAS Rating: | Not Available |
Impact Factor: | Not Available |
Volume No.: | 15(12) |
Page Number: | 177-180 |
Name of the Division/Regional Station: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/81533 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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SSRmine-Python-based-Command-line-Tool-for-Precise-Genomic-SSR-Markers’-Extraction--Shbana-Begam-33.pdf | 388.97 kB | Adobe PDF | View/Open |
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