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SSRmine: Python-based command-line toll for precise genomic SSR Markers’ extraction

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Title SSRmine: Python-based command-line toll for precise genomic SSR Markers’ extraction
Not Available
 
Creator Shabana Begam
Samarth Godara
Ramchandaran Bhattacharya
Rajender Parsad
Sudeep Marwaha
 
Subject QTL mapping, Molecular marker, Simple Sequence Repeats
 
Description Not Available
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.
Not Available
 
Date 2024-03-01T12:24:17Z
2024-03-01T12:24:17Z
2023-12-15
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/81533
 
Language English
 
Relation Not Available;
 
Publisher Not Available