MapReduce Based Approach to Longest Common Subsequence in BioSequences - Softcover

Bohara, Jnaneshwar; Joshi, Shashidhar Ram

Softcover

ISBN 10: 3659680508 ISBN 13: 9783659680502

Verlag: LAP LAMBERT Academic Publishing, 2015

Inhaltsangabe

The Longest Common Subsequence(LCS) identification of biological sequences has significant applications in bioinformatics. Due to the emerging growth in bioinformatics applications, new biological sequences with longer length have been used for processing, making it great challenge for sequential LCS algorithms. Few parallel LCS algorithms have been proposed but their efficiency and effectiveness are not satisfactory with increasing complexity and size of biological data. To overcome limitations of existing LCS algorithms and considering MapReduce programming model as promising technology for cost effective high performance parallel computing, MapReduce based parallel algorithm for LCS has been developed. This approach adopts the concepts of successor tables, identical character pairs, successor tree and traversal of successor tree to find Longest Common Subsequence. The hadoop framework is used for the realization of MapReduce model.

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Über die Autorin bzw. den Autor

Mr. Bohara,Computer Engineer at Government of Nepal, is the university topper in M.Sc. in Computer System and Knowledge Engineering at Institute of Engineering(IOE),Tribhuwan University. He worked for 5 years as Sr Java developer in Verisk Analytics and is a Certified Scrum Master.Dr. Joshi,Professor at IOE, is the pioneer of IT education in Nepal.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2015
• Sprache: Englisch
• ISBN 10: 3659680508
• ISBN 13: 9783659680502
• Einband: Taschenbuch
• Anzahl der Seiten: 56
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Verlag Unser Wissen; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland