Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Deep Learning Algorithms Comparison forMultiple Biological Sequences Alignment Subject The topic of the resource A comparison study; Deep learning algorithms; q-gram; Sequence alignment; TC score Description An account of the resource In this paper, deep learning algorithms are compared for aligning multiple biological molecular sequences such as DNA, RNA, and protein. Efficient algorithms are necessary for sequence alignment to identify significant insights, but there is a trade-off between time and accuracy. This study compares deep learning algorithms for multiple sequence alignment with better accuracy, using a new similarity measure to choose the best resemblance sequences in a set. Using a benchmark dataset, the algorithms compared include CNN, VAE, MLPNN, DBNs, Deep Boltzmann Machine, and GAN. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Jayapriya J.; Vinay M. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-720 LNNS, pp. 563-575. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-3761-5_50" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-3761-5_50</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172729053&amp;doi=10.1007%2F978-981-99-3761-5_50&amp;partnerID=40&amp;md5=eb065a69e1ae821d86e73d16b0e35882" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172729053&amp;doi=10.1007%2f978-981-99-3761-5_50&amp;partnerID=40&amp;md5=eb065a69e1ae821d86e73d16b0e35882</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981993760-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jayapriya J., Department of Computer Science, Yeshwanthpur Campus, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Vinay M., Department of Computer Science, Yeshwanthpur Campus, CHRIST (Deemed to be University), Karnataka, Bangalore, India