About: Chapter 5 The GRANCH Techniques for Analysis of DNA, RNA and Protein Sequences

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Chapter 5 The GRANCH Techniques for Analysis of DNA, RNA and Protein Sequences
Creator	Nandy, Ashesh
Source	Elsevier; PMC
abstract	Abstract: The very rapid growth in molecular sequence data from the daily accretion of large gene and protein sequencing projects have led to issues regarding viewing and analyzing the massive amounts of data. Graphical representation and numerical characterization of DNA, RNA and protein sequences have exhibited great potential to address these concerns. We review here in brief several different formulations of these representations and examples of applications to diverse problems based on what this author had presented at the Second Mathematical Chemistry Workshop of the Americas in Bogota, Colombia in 2010. In particular, we note several insights that were gained from such representations, and the applications to the bio-medicinal field.
has issue date	2015-12-31(xsd:dateTime)
bibo:doi	10.1016/b978-1-68108-053-6.50005-3
has license	els-covid
sha1sum (hex)	b466c5c6dc539542eba79097001d04e2b3fca72e
schema:url	https://doi.org/10.1016/b978-1-68108-053-6.50005-3
resource representing a document's title	Chapter 5 The GRANCH Techniques for Analysis of DNA, RNA and Protein Sequences
has PubMed Central identifier	PMC7151884
schema:publication	Advances in Mathematical Chemistry and Applications
resource representing a document's body	covid:b466c5c6dc539542eba79097001d04e2b3fca72e#body_text
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