Imperial College London

DrNicholasCroucher

Faculty of MedicineSchool of Public Health

Reader in Bacterial Genomics
 
 
 
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Contact

 

+44 (0)20 7594 3820n.croucher

 
 
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Location

 

1104Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hadfield:2017:bioinformatics/btx610,
author = {Hadfield, J and Croucher, NJ and Goater, RJ and Abudahab, K and Aanensen, DM and Harris, SR},
doi = {bioinformatics/btx610},
journal = {Bioinformatics},
pages = {292--293},
title = {Phandango: an interactive viewer for bacterial population genomics.},
url = {http://dx.doi.org/10.1093/bioinformatics/btx610},
volume = {34},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Summary: Fully exploiting the wealth of data in current bacterial population genomics datasets requires synthesising and integrating different types of analysis across millions of base pairs in hundreds or thousands of isolates. Current approaches often use static representations of phylogenetic, epidemiological, statistical and evolutionary analysis results that are difficult to relate to one another. Phandango is an interactive application running in a web browser allowing fast exploration of large-scale population genomics datasets combining the output from multiple genomic analysis methods in an intuitive and interactive manner. Availability: Phandango is a web application freely available for use at www.phandango.net and includes a diverse collection of datasets as examples. Source code together with a detailed wiki page is available on GitHub at https://github.com/jameshadfield/phandango. Contact: jh22@sanger.ac.uk, sh16@sanger.ac.uk.
AU - Hadfield,J
AU - Croucher,NJ
AU - Goater,RJ
AU - Abudahab,K
AU - Aanensen,DM
AU - Harris,SR
DO - bioinformatics/btx610
EP - 293
PY - 2017///
SN - 1367-4803
SP - 292
TI - Phandango: an interactive viewer for bacterial population genomics.
T2 - Bioinformatics
UR - http://dx.doi.org/10.1093/bioinformatics/btx610
UR - http://hdl.handle.net/10044/1/55836
VL - 34
ER -