9783330332348 - Ortholog and Paralog Detection using Phylogentic Tree di Malhi, Manpreet Singh; Kaur, Sukhdeep (6 risultati)

Paperback. Condizione: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.

Taschenbuch. Condizione: Neu. Ortholog and Paralog Detection using Phylogentic Tree | Manpreet Singh Malhi (u. a.) | Taschenbuch | 72 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330332348 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Orthology and paralogy are central concept in evolutionary biology. Prediction of orthologs (homologous genes that diverged because of speciation) and paralogs (homologous genes that diverged because of duplication) is an integral part of many comparative genomics methods. There are numbers of methods used to infer orthology and paralogy. Ortholog and paralog can be infered using graph based and phylogenetic based methods. However, method based on phylogenetic analyses is closely resembles the original definition of orthology and paralogy are known to be accurate. In the present work, a pipeline for detection of orthologs and paralogs is developed based on the phylogentic approach. A set of protein were downloaded from UniProt and a database was developed. Orthologs and paralogs were detected for query protein sequence. Species overlap algorithm and pairwise patristic distance threshold were used to identify accurate and adjusting prediction of parlaogs and orhtologs. A user friendly interface was developed for easy use. 72 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Malhi Manpreet SinghDr. Manpreet Singh has more than 14 years of experience in the field of computational biology. His interest area includes machine learning methods in a bioinformatics, data analysis in a plant biology and computat.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Orthology and paralogy are central concept in evolutionary biology. Prediction of orthologs (homologous genes that diverged because of speciation) and paralogs (homologous genes that diverged because of duplication) is an integral part of many comparative genomics methods. There are numbers of methods used to infer orthology and paralogy. Ortholog and paralog can be infered using graph based and phylogenetic based methods. However, method based on phylogenetic analyses is closely resembles the original definition of orthology and paralogy are known to be accurate. In the present work, a pipeline for detection of orthologs and paralogs is developed based on the phylogentic approach. A set of protein were downloaded from UniProt and a database was developed. Orthologs and paralogs were detected for query protein sequence. Species overlap algorithm and pairwise patristic distance threshold were used to identify accurate and adjusting prediction of parlaogs and orhtologs. A user friendly interface was developed for easy use.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Orthology and paralogy are central concept in evolutionary biology. Prediction of orthologs (homologous genes that diverged because of speciation) and paralogs (homologous genes that diverged because of duplication) is an integral part of many comparative genomics methods. There are numbers of methods used to infer orthology and paralogy. Ortholog and paralog can be infered using graph based and phylogenetic based methods. However, method based on phylogenetic analyses is closely resembles the original definition of orthology and paralogy are known to be accurate. In the present work, a pipeline for detection of orthologs and paralogs is developed based on the phylogentic approach. A set of protein were downloaded from UniProt and a database was developed. Orthologs and paralogs were detected for query protein sequence. Species overlap algorithm and pairwise patristic distance threshold were used to identify accurate and adjusting prediction of parlaogs and orhtologs. A user friendly interface was developed for easy use.