Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins
Апстракт
We have developed EpDis and MassPred, extendable open source software tools that support bioinformatic research and enable parallel use of different methods for the prediction of T cell epitopes, disorder and disordered binding regions and hydropathy calculation. These tools offer a semi-automated installation of chosen sets of external predictors and an interface allowing for easy application of the prediction methods, which can be applied either to individual proteins or to datasets of a large number of proteins. In addition to access to prediction methods, the tools also provide visualization of the obtained results, calculation of consensus from results of different methods, as well as import of experimental data and their comparison with results obtained with different predictors. The tools also offer a graphical user interface and the possibility to store data and the results obtained using all of the integrated methods in the relational database or flat file for further analysis.... The MassPred part enables a massive parallel application of all integrated predictors to the set of proteins. Both tools can be downloaded from http://bioinfo.matf.bg.ac.rs/home/downloads.wafl?cat=Software. Appendix A includes the technical description of the created tools and a list of supported predictors.
Кључне речи:
Visualization / T cell epitope prediction / Massive parallel prediction / Disorder predictionИзвор:
Journal of Biomedical Informatics, 2016, 60, 120-131Издавач:
- Academic Press Inc Elsevier Science, San Diego
Финансирање / пројекти:
- Аутоматско резоновање и истраживање података (RS-MESTD-Basic Research (BR or ON)-174021)
- Методе нумеричке и нелинеарне анализе са применама (RS-MESTD-Basic Research (BR or ON)-174002)
DOI: 10.1016/j.jbi.2016.01.016
ISSN: 1532-0464
PubMed: 26851400
WoS: 000384704100013
Scopus: 2-s2.0-84962815196
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Jandrlić, Davorka AU - Lazić, Goran M. AU - Mitić, Nenad S. AU - Pavlović, Mirjana D. PY - 2016 UR - https://machinery.mas.bg.ac.rs/handle/123456789/2405 AB - We have developed EpDis and MassPred, extendable open source software tools that support bioinformatic research and enable parallel use of different methods for the prediction of T cell epitopes, disorder and disordered binding regions and hydropathy calculation. These tools offer a semi-automated installation of chosen sets of external predictors and an interface allowing for easy application of the prediction methods, which can be applied either to individual proteins or to datasets of a large number of proteins. In addition to access to prediction methods, the tools also provide visualization of the obtained results, calculation of consensus from results of different methods, as well as import of experimental data and their comparison with results obtained with different predictors. The tools also offer a graphical user interface and the possibility to store data and the results obtained using all of the integrated methods in the relational database or flat file for further analysis. The MassPred part enables a massive parallel application of all integrated predictors to the set of proteins. Both tools can be downloaded from http://bioinfo.matf.bg.ac.rs/home/downloads.wafl?cat=Software. Appendix A includes the technical description of the created tools and a list of supported predictors. PB - Academic Press Inc Elsevier Science, San Diego T2 - Journal of Biomedical Informatics T1 - Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins EP - 131 SP - 120 VL - 60 DO - 10.1016/j.jbi.2016.01.016 ER -
@article{ author = "Jandrlić, Davorka and Lazić, Goran M. and Mitić, Nenad S. and Pavlović, Mirjana D.", year = "2016", abstract = "We have developed EpDis and MassPred, extendable open source software tools that support bioinformatic research and enable parallel use of different methods for the prediction of T cell epitopes, disorder and disordered binding regions and hydropathy calculation. These tools offer a semi-automated installation of chosen sets of external predictors and an interface allowing for easy application of the prediction methods, which can be applied either to individual proteins or to datasets of a large number of proteins. In addition to access to prediction methods, the tools also provide visualization of the obtained results, calculation of consensus from results of different methods, as well as import of experimental data and their comparison with results obtained with different predictors. The tools also offer a graphical user interface and the possibility to store data and the results obtained using all of the integrated methods in the relational database or flat file for further analysis. The MassPred part enables a massive parallel application of all integrated predictors to the set of proteins. Both tools can be downloaded from http://bioinfo.matf.bg.ac.rs/home/downloads.wafl?cat=Software. Appendix A includes the technical description of the created tools and a list of supported predictors.", publisher = "Academic Press Inc Elsevier Science, San Diego", journal = "Journal of Biomedical Informatics", title = "Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins", pages = "131-120", volume = "60", doi = "10.1016/j.jbi.2016.01.016" }
Jandrlić, D., Lazić, G. M., Mitić, N. S.,& Pavlović, M. D.. (2016). Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins. in Journal of Biomedical Informatics Academic Press Inc Elsevier Science, San Diego., 60, 120-131. https://doi.org/10.1016/j.jbi.2016.01.016
Jandrlić D, Lazić GM, Mitić NS, Pavlović MD. Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins. in Journal of Biomedical Informatics. 2016;60:120-131. doi:10.1016/j.jbi.2016.01.016 .
Jandrlić, Davorka, Lazić, Goran M., Mitić, Nenad S., Pavlović, Mirjana D., "Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins" in Journal of Biomedical Informatics, 60 (2016):120-131, https://doi.org/10.1016/j.jbi.2016.01.016 . .