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A Guide to Bioinformatics for Immunologists
Bioinformatics includes a suite of methods, which are cheap, approachable, and many of which are easily accessible without any sort of specialized bioinformatic training. Yet, despite this, bioinformatic tools are under-utilized by immunologists. Herein, we review a representative set of publicly av...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849744/ https://www.ncbi.nlm.nih.gov/pubmed/24363654 http://dx.doi.org/10.3389/fimmu.2013.00416 |
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author | Whelan, Fiona J. Yap, Nicholas V. L. Surette, Michael G. Golding, G. Brian Bowdish, Dawn M. E. |
author_facet | Whelan, Fiona J. Yap, Nicholas V. L. Surette, Michael G. Golding, G. Brian Bowdish, Dawn M. E. |
author_sort | Whelan, Fiona J. |
collection | PubMed |
description | Bioinformatics includes a suite of methods, which are cheap, approachable, and many of which are easily accessible without any sort of specialized bioinformatic training. Yet, despite this, bioinformatic tools are under-utilized by immunologists. Herein, we review a representative set of publicly available, easy-to-use bioinformatic tools using our own research on an under-annotated human gene, SCARA3, as an example. SCARA3 shares an evolutionary relationship with the class A scavenger receptors, but preliminary research showed that it was divergent enough that its function remained unclear. In our quest for more information about this gene – did it share gene sequence similarities to other scavenger receptors? Did it contain conserved protein domains? Where was it expressed in the human body? – we discovered the power and informative potential of publicly available bioinformatic tools designed for the novice in mind, which allowed us to hypothesize on the regulation, structure, and function of this protein. We argue that these tools are largely applicable to many facets of immunology research. |
format | Online Article Text |
id | pubmed-3849744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-38497442013-12-20 A Guide to Bioinformatics for Immunologists Whelan, Fiona J. Yap, Nicholas V. L. Surette, Michael G. Golding, G. Brian Bowdish, Dawn M. E. Front Immunol Immunology Bioinformatics includes a suite of methods, which are cheap, approachable, and many of which are easily accessible without any sort of specialized bioinformatic training. Yet, despite this, bioinformatic tools are under-utilized by immunologists. Herein, we review a representative set of publicly available, easy-to-use bioinformatic tools using our own research on an under-annotated human gene, SCARA3, as an example. SCARA3 shares an evolutionary relationship with the class A scavenger receptors, but preliminary research showed that it was divergent enough that its function remained unclear. In our quest for more information about this gene – did it share gene sequence similarities to other scavenger receptors? Did it contain conserved protein domains? Where was it expressed in the human body? – we discovered the power and informative potential of publicly available bioinformatic tools designed for the novice in mind, which allowed us to hypothesize on the regulation, structure, and function of this protein. We argue that these tools are largely applicable to many facets of immunology research. Frontiers Media S.A. 2013-12-04 /pmc/articles/PMC3849744/ /pubmed/24363654 http://dx.doi.org/10.3389/fimmu.2013.00416 Text en Copyright © 2013 Whelan, Yap, Surette, Golding and Bowdish. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Whelan, Fiona J. Yap, Nicholas V. L. Surette, Michael G. Golding, G. Brian Bowdish, Dawn M. E. A Guide to Bioinformatics for Immunologists |
title | A Guide to Bioinformatics for Immunologists |
title_full | A Guide to Bioinformatics for Immunologists |
title_fullStr | A Guide to Bioinformatics for Immunologists |
title_full_unstemmed | A Guide to Bioinformatics for Immunologists |
title_short | A Guide to Bioinformatics for Immunologists |
title_sort | guide to bioinformatics for immunologists |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849744/ https://www.ncbi.nlm.nih.gov/pubmed/24363654 http://dx.doi.org/10.3389/fimmu.2013.00416 |
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