The use of bioinformatics tools for genetic data analysis: a review
DOI:
https://doi.org/10.36560/17120241872Keywords:
Genomic tools, software and algorithms, biological dataAbstract
Bioinformatics has been revolutionizing how scientists analyze and interpret genetic data. Thus, this review highlights the fundamental role of bioinformatics tools in understanding genomic data. The article explores the diversity of software and algorithms available for processing, analyzing, and interpreting genetic data. It addresses the relevance of these tools in identifying genes, genetic variations, predicting protein structures, and evolutionary and phylogenetic studies. Additionally, the challenges faced in bioinformatics, including integrating data from different sources, standardization, and interpreting results, are discussed. The article provides information on sequence alignment, sequencing data cleaning, which are crucial when working with genetic datasets. It is further emphasized that discussions like these are important because bioinformatics tools are constantly evolving, requiring researchers to continuously update their knowledge and skills.
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