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ANNIE: integrated de novo protein sequence annotation
Function prediction of proteins with computational sequence analysis requires the use of dozens of prediction tools with a bewildering range of input and output formats. Each of these tools focuses on a narrow aspect and researchers are having difficulty obtaining an integrated picture. ANNIE is the...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703921/ https://www.ncbi.nlm.nih.gov/pubmed/19389726 http://dx.doi.org/10.1093/nar/gkp254 |
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author | Ooi, Hong Sain Kwo, Chia Yee Wildpaner, Michael Sirota, Fernanda L. Eisenhaber, Birgit Maurer-Stroh, Sebastian Wong, Wing Cheong Schleiffer, Alexander Eisenhaber, Frank Schneider, Georg |
author_facet | Ooi, Hong Sain Kwo, Chia Yee Wildpaner, Michael Sirota, Fernanda L. Eisenhaber, Birgit Maurer-Stroh, Sebastian Wong, Wing Cheong Schleiffer, Alexander Eisenhaber, Frank Schneider, Georg |
author_sort | Ooi, Hong Sain |
collection | PubMed |
description | Function prediction of proteins with computational sequence analysis requires the use of dozens of prediction tools with a bewildering range of input and output formats. Each of these tools focuses on a narrow aspect and researchers are having difficulty obtaining an integrated picture. ANNIE is the result of years of close interaction between computational biologists and computer scientists and automates an essential part of this sequence analytic process. It brings together over 20 function prediction algorithms that have proven sufficiently reliable and indispensable in daily sequence analytic work and are meant to give scientists a quick overview of possible functional assignments of sequence segments in the query proteins. The results are displayed in an integrated manner using an innovative AJAX-based sequence viewer. ANNIE is available online at: http://annie.bii.a-star.edu.sg. This website is free and open to all users and there is no login requirement. |
format | Text |
id | pubmed-2703921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-27039212009-07-01 ANNIE: integrated de novo protein sequence annotation Ooi, Hong Sain Kwo, Chia Yee Wildpaner, Michael Sirota, Fernanda L. Eisenhaber, Birgit Maurer-Stroh, Sebastian Wong, Wing Cheong Schleiffer, Alexander Eisenhaber, Frank Schneider, Georg Nucleic Acids Res Articles Function prediction of proteins with computational sequence analysis requires the use of dozens of prediction tools with a bewildering range of input and output formats. Each of these tools focuses on a narrow aspect and researchers are having difficulty obtaining an integrated picture. ANNIE is the result of years of close interaction between computational biologists and computer scientists and automates an essential part of this sequence analytic process. It brings together over 20 function prediction algorithms that have proven sufficiently reliable and indispensable in daily sequence analytic work and are meant to give scientists a quick overview of possible functional assignments of sequence segments in the query proteins. The results are displayed in an integrated manner using an innovative AJAX-based sequence viewer. ANNIE is available online at: http://annie.bii.a-star.edu.sg. This website is free and open to all users and there is no login requirement. Oxford University Press 2009-07-01 2009-04-23 /pmc/articles/PMC2703921/ /pubmed/19389726 http://dx.doi.org/10.1093/nar/gkp254 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Ooi, Hong Sain Kwo, Chia Yee Wildpaner, Michael Sirota, Fernanda L. Eisenhaber, Birgit Maurer-Stroh, Sebastian Wong, Wing Cheong Schleiffer, Alexander Eisenhaber, Frank Schneider, Georg ANNIE: integrated de novo protein sequence annotation |
title | ANNIE: integrated de novo protein sequence annotation |
title_full | ANNIE: integrated de novo protein sequence annotation |
title_fullStr | ANNIE: integrated de novo protein sequence annotation |
title_full_unstemmed | ANNIE: integrated de novo protein sequence annotation |
title_short | ANNIE: integrated de novo protein sequence annotation |
title_sort | annie: integrated de novo protein sequence annotation |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703921/ https://www.ncbi.nlm.nih.gov/pubmed/19389726 http://dx.doi.org/10.1093/nar/gkp254 |
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