StrainInfo.net Web Services: Enabling Microbiologic Workflows Such as Phylogenetic Tree Building and Biomarker Comparison

Author(s):  
Bert Verslyppe ◽  
Bram Slabbinck ◽  
Wim De Smet ◽  
Paul De Vos ◽  
Bernard De Baets ◽  
...  
2009 ◽  
pp. 329-353 ◽  
Author(s):  
Manuel Gil ◽  
Gaston H. Gonnet

Genomics ◽  
2014 ◽  
Vol 104 (1) ◽  
pp. 1-7 ◽  
Author(s):  
William J. Faison ◽  
Alexandre Rostovtsev ◽  
Eduardo Castro-Nallar ◽  
Keith A. Crandall ◽  
Konstantin Chumakov ◽  
...  

1996 ◽  
Vol 26 (6) ◽  
pp. 589-617 ◽  
Author(s):  
David A. Morrison

2020 ◽  
Vol 21 (7) ◽  
pp. 428-444 ◽  
Author(s):  
Paschalia Kapli ◽  
Ziheng Yang ◽  
Maximilian J. Telford

2016 ◽  
Vol 13 (1) ◽  
pp. 7-22
Author(s):  
Kasikrit Damkliang ◽  
Pichaya Tandayya ◽  
Unitsa Sangket ◽  
Ekawat Pasomsub

SummaryAt the present, coding sequence (CDS) has been discovered and larger CDS is being revealed frequently. Approaches and related tools have also been developed and upgraded concurrently, especially for phylogenetic tree analysis. This paper proposes an integrated automatic Taverna workflow for the phylogenetic tree inferring analysis using public access web services at European Bioinformatics Institute (EMBL-EBI) and Swiss Institute of Bioinformatics (SIB), and our own deployed local web services. The workflow input is a set of CDS in the Fasta format. The workflow supports 1,000 to 20,000 numbers in bootstrapping replication. The workflow performs the tree inferring such as Parsimony (PARS), Distance Matrix - Neighbor Joining (DIST-NJ), and Maximum Likelihood (ML) algorithms of EMBOSS PHYLIPNEW package based on our proposed Multiple Sequence Alignment (MSA) similarity score. The local web services are implemented and deployed into two types using the Soaplab2 and Apache Axis2 deployment. There are SOAP and Java Web Service (JWS) providing WSDL endpoints to Taverna Workbench, a workflow manager. The workflow has been validated, the performance has been measured, and its results have been verified. Our workflow’s execution time is less than ten minutes for inferring a tree with 10,000 replicates of the bootstrapping numbers. This paper proposes a new integrated automatic workflow which will be beneficial to the bioinformaticians with an intermediate level of knowledge and experiences. The all local services have been deployed at our portal http://bioservices.sci.psu.ac.th


Author(s):  
Marc W. Cadotte ◽  
T. Jonathan Davies

This chapter explains how to build a phylogeny for a certain set of species. A phylogenetic tree is a representation of species interrelatedness and conveys information about which taxa share recent common ancestors, which evolutionary groups (clades) species belong to, and the distances (time, genetic, or character differences) separating species. The chapter first considers two R packages called ape and picante for use in analysis of the R phylogenetic object (referred to as a phylo object type), along with a few other packages, before discussing the steps in reconstructing phylogenetic relationships. It also evaluates some tree-building approaches that are easily implemented in R, including distance-based methods and maximum likelihood methods. Finally, it describes ways of finding and adapting available phylogenetic trees, together with tree scaling and rate smoothing.


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