<p>Cambridge Bioinformatics Hackathon 2017</p>

Steven Wingett; Daniel Ayres; Andrew Bagshaw; Marco Botta; Katherine Brown; Sarah Burge; Olly Burren; Sandra Cortijo; Kevin Dialdestoro; Anna Gogleva; Russell Hamilton; Fengyuan Hu; Melis Kayikci; Christel Krueger; Felix Krueger; Raquel Manzano; Louise Matheson; Thuy Nguyen; Malwina Prater; Roushanak Rahmat; Peter Rice; Emma Rocheteau; Crina Samarghitean; Markiyan Samborskyy; Przemyslaw Stempor; Hugo Tavares; Michiel Thiecke; Charlotte Tumescheit; Andrey Zorin; Simon Andrews

doi:10.7490/f1000research.1115038.1

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Wingett S, Ayres D, Bagshaw A et al. Cambridge Bioinformatics Hackathon 2017 [version 1; not peer reviewed]. F1000Research 2017, 6:1942 (slides) (https://doi.org/10.7490/f1000research.1115038.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Cambridge Bioinformatics Hackathon 2017

Steven Wingett¹, Daniel Ayres, Andrew Bagshaw, Marco Botta, Katherine Brown, Sarah Burge, Olly Burren, Sandra Cortijo, Kevin Dialdestoro, Anna Gogleva, Russell Hamilton, Fengyuan Hu, Melis Kayikci, Christel Krueger, Felix Krueger, Raquel Manzano, Louise Matheson, Thuy Nguyen, Malwina Prater, Roushanak Rahmat, Peter Rice, Emma Rocheteau, Crina Samarghitean, Markiyan Samborskyy, Przemyslaw Stempor, Hugo Tavares, Michiel Thiecke, Charlotte Tumescheit, Andrey Zorin, Simon Andrews

Published 02 Nov 2017 (https://doi.org/10.7490/f1000research.1115038.1)

Author Affiliations

¹ Babraham Institute, UK

Copyright © 2017 Wingett S et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 02 Nov 2017

Cambridge Bioinformatics Hackathon 2017
[version 1; not peer reviewed]

Author Affiliations

¹ Babraham Institute, UK

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Hackathon, bioinformatics, statistics, phylogenetics, machine learning, networks, shiny, visualisation, single cell RNA-Seq, python, R, Perl, Java, JavaScript, lactose intolerance, SNP, Genestack, 23andme, Bisulfite, MinION, Hi-C, TADs, VDJ, CNV, sWGA, plasmodium, PHRAP, FastQC, sequence duplicates, pathways

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