PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods.
High Throughput Sequencing provides a cost effective means of generating high resolution data for hundreds or even thousands of strains, and is rapidly superseding methodologies based on a few genomic loci. The wealth of genomic data deposited on public databases such as Sequence Read Archive/European Nucleotide Archive provides a powerful resource for evolutionary analysis and epidemiological surveillance. However, many of the analysis tools currently available do not scale well to these large datasets, nor provide the means to fully integrate ancillary data. Here we present PHYLOViZ 2.0, an extension of PHYLOViZ tool, a platform independent Java tool that allows phylogenetic inference and data visualization for large datasets of sequence based typing methods, including Single Nucleotide Polymorphism (SNP) and whole genome/core genome Multilocus Sequence Typing (wg/cgMLST) analysis. PHYLOViZ 2.0 incorporates new data analysis algorithms and new visualization modules, as well as the capability of saving projects for subsequent work or for dissemination of results.



http://www.phyloviz.net/ (licensed under GPLv3).



cvaz@inesc-id.ptSupplementary information: Supplementary data are available at Bioinformatics online.
INESC-ID, 1000-029 Lisboa, Portugal.|Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.
Marta
M
Nascimento
Instituto Superior de Engenharia de Lisboa, 1959-007 Lisboa, Portugal.
Adriano
A
Sousa
Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal.
Mário
M
Ramirez
INESC-ID, 1000-029 Lisboa, Portugal.|Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.
Alexandre P
AP
Francisco
Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal.
João A
JA
Carriço
INESC-ID, 1000-029 Lisboa, Portugal.|Instituto Superior de Engenharia de Lisboa, 1959-007 Lisboa, Portugal.
Cátia
C
Vaz
D001419:Bacteria / Q000145:classification / Q000235:genetics*; D015373:Bacterial Typing Techniques / Q000379:methods; D016680:Genome, Bacterial; D058885:Multilocus Sequence Typing / Q000379:methods; D010802:Phylogeny; D020641:Polymorphism, Single Nucleotide; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software