What is it about?
This article proposes a new method for identifying and organizing genetic material found in environmental samples. The method involves a three-step process that uses various tools to accurately and quickly classify the organisms in the samples. The classification is then detailed into files and sequences and organized into a web-based database. The proposed method aims to improve the efficiency and accuracy of identifying and classifying organisms in genetic material found in the environment. The article discusses the preliminary results of using the method and the next steps for further development. This new method has potential applications in the healthcare industry, where identifying and organizing genetic material is crucial for understanding the structure and function of organisms.
Featured Image
Photo by Jan Antonin Kolar on Unsplash
Why is it important?
The proposed method for identifying and classifying organisms in environmental samples involves reference-free reconstruction, reference-based classification, and features-based classification. This approach may be more efficient and accurate than existing methods. It could make a significant difference in the ability of healthcare professionals and researchers to gain insights into the structure and function of organisms. This, in turn, could lead to advancements in disease treatment and prevention and improve our understanding of the natural world. Creating a web-based database of classified genetic material will also make it easier for researchers to access and analyze this information, potentially leading to further discoveries and advancements in metagenomics.
Perspectives
Read the Original
This page is a summary of: Characterizing Genomics Repositories Using Feature-Based Classification, August 2022, IOS Press,
DOI: 10.3233/shti220932.
You can read the full text:
Contributors
The following have contributed to this page