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Mol Biol Evol. 2019 Dec 1;36(12):2922-2924. doi: 10.1093/molbev/msz185.

Sequenceserver: A Modern Graphical User Interface for Custom BLAST Databases.

Author information

1
School of Biological and Chemical Sciences, Queen Mary University of London, London, United Kingdom.
2
School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Australia.
3
Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, India.
4
Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur, India.
5
Department of Computer Science, Royal Holloway University of London, Surrey, United Kingdom.
6
Scientific Computing Facility, Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
7
San Francisco, CA.
8
Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia.
9
Bioinformatics Hub, School of Biological Sciences, University of Adelaide, Adelaide, Australia.
10
Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.
11
Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA.
12
Spiber Inc, Kakuganji Tsuruoka, Yamagata, Japan.
13
Whitehead Institute for Biomedical Research, Cambridge, MA.
14
Living Systems Institute, University of Exeter, Exeter, United Kingdom.
15
The Institute for Genomic Medicine, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH.
16
5Bases Limited, London, United Kingdom.

Abstract

Comparing newly obtained and previously known nucleotide and amino-acid sequences underpins modern biological research. BLAST is a well-established tool for such comparisons but is challenging to use on new data sets. We combined a user-centric design philosophy with sustainable software development approaches to create Sequenceserver, a tool for running BLAST and visually inspecting BLAST results for biological interpretation. Sequenceserver uses simple algorithms to prevent potential analysis errors and provides flexible text-based and visual outputs to support researcher productivity. Our software can be rapidly installed for use by individuals or on shared servers.

KEYWORDS:

BLAST; comparative genomics; sequence analysis; visualization

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