![]() This chapter discusses the protein sequence analysis. Michael Gromiha, in Protein Bioinformatics, 2010 Publisher Summary This article aims to provide an overview of sequence analysis, at the DNA, RNA and proteins levels, with metabolic pathways describing their interplay. The small organic molecules or metabolites that are essential for organisms to live and grow also need to be studied in the context of their interaction with genes and proteins, via metabolic pathways. After analysis of DNA, RNA and protein sequences, it is important to understand how they are connected by protein to genome mapping. Software tools and web services are often used for carrying of the bioinformatics analysis. Databases currently warehousing the enormous data on these biomolecules will need to be first checked for the presence of similar sequences, which might direct experimental assays for functional investigations. We then need to follow analytical strategies, depending on whether the sequence is genomic, transcriptomic or proteomic. To carry out sequence analysis efficiently, it is important to first understand the source of the data, i.e., the different experimental methods used for determining the biological sequence. Sequence analysis is a term that comprehensively represents computational analysis of a DNA, RNA or peptide sequence, to extract knowledge about its properties, biological function, structure and evolution. Lapidus, in Encyclopedia of Bioinformatics and Computational Biology, 2019 Introduction to Sequence Analysis
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