About
TeloBase is a curated database containing computationally predicted and experimentally confirmed telomere sequences of species across the whole tree of life.
The curation of new sequences is peer-reviewed by current members of the TeloBase community. To join the TeloBase community, you need to make a contribution to the database that is accepted by current members.
If you are an author or co-author of a work that is part of our database and want to become a member of the TeloBase community, please do contact us.
The curation of new sequences is peer-reviewed by current members of the TeloBase community. To join the TeloBase community, you need to make a contribution to the database that is accepted by current members.
If you are an author or co-author of a work that is part of our database and want to become a member of the TeloBase community, please do contact us.
Citation
If you used our database in the research, please do cite:
In progress...
In progress...
Contact
Have you encountered any error? Do you have any suggestions or a feedback?
Do not hesitate to contact us: telobase@email.cz
Do not hesitate to contact us: telobase@email.cz
Have you predicited or confirmed telomere sequence?
Please, consider sharing your findings and apply them to the TeloBase.
Have you found an article confirming or predicting telomere sequence that is not yet in TeloBase?
Please, consider applying these findings to our database and become a member of the TeloBase community.
News
01/02/23 - TeloBase was launched
Acknowledgement
TeloBase is running on the servers of Core Facility Bioinformatics of CEITEC Masaryk University, Brno.
Development was supported by the Czech Science Foundation, project 20-01331X, and Ministry of Education, Youth and Sports of the Czech Republic, INTER-COST project LTC20003.
Development was supported by the Czech Science Foundation, project 20-01331X, and Ministry of Education, Youth and Sports of the Czech Republic, INTER-COST project LTC20003.
Telobase is utilizing following packages:
Chang W, Cheng J, Allaire J, Sievert C, Schloerke B, Xie Y, Allen J, McPherson J, Dipert A, Borges B (2022). _shiny: Web Application Framework for R_. R
package version 1.7.2, <https://CRAN.R-project.org/package=shiny>.
Ooms J (2022). _sodium: A Modern and Easy-to-Use Crypto Library_. R package version 1.2.1, <https://CRAN.R-project.org/package=sodium>.
Dowle M, Srinivasan A (2021). _data.table: Extension of `data.frame`_. R package version 1.14.2, <https://CRAN.R-project.org/package=data.table>.
Xie Y, Cheng J, Tan X (2022). _DT: A Wrapper of the JavaScript Library 'DataTables'_. R package version 0.25, <https://CRAN.R-project.org/package=DT>.
Henry L, Wickham H (2022). _rlang: Functions for Base Types and Core R and 'Tidyverse' Features_. R package version 1.0.6, <https://CRAN.R-project.org/package=rlang>.
Wickham H (2019). _stringr: Simple, Consistent Wrappers for Common String Operations_. R package version 1.4.0, <https://CRAN.R-project.org/package=stringr>.
Wickham H, François R, Henry L, Müller K (2022). _dplyr: A Grammar of Data Manipulation_. R package version 1.0.9, <https://CRAN.R-project.org/package=dplyr>.
Perrier V, Meyer F, Granjon D (2022). _shinyWidgets: Custom Inputs Widgets for Shiny_. R package version 0.7.4, <https://CRAN.R-project.org/package=shinyWidgets>.
C. Sievert. Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC Florida, 2020.
Bailey E (2022). _shinyBS: Twitter Bootstrap Components for Shiny_. R package version 0.61.1, <https://CRAN.R-project.org/package=shinyBS>.
Scott Chamberlain and Eduard Szocs (2013). taxize - taxonomic search and retrieval in R. F1000Research, 2:191. URL: https://f1000research.com/articles/2-191/v2
Meyer F, Perrier V (2022). _shinybusy: Busy Indicators and Notifications for 'Shiny' Applications_. R package version 0.3.1, <https://CRAN.R-project.org/package=shinybusy>.
Collier AB (2022). _emayili: Send Email Messages_. R package version 0.7.11, <https://CRAN.R-project.org/package=emayili>.
Grothendieck G (2018). _gsubfn: Utilities for Strings and Function Arguments_. R package version 0.7, <https://CRAN.R-project.org/package=gsubfn>.
Gagolewski M (2022). “stringi: Fast and portable character string processing in R.” _Journal of Statistical Software_, *103*(2), 1-59. doi:10.18637/jss.v103.i02 <https://doi.org/10.18637/jss.v103.i02>.
Foster Z, Sharpton T, Grünwald N (2017). “Metacoder: An R package for visualization and manipulation of community taxonomic diversity data.” _PLOS Computational Biology_, *13*(2), 1-15. doi:10.1371/journal.pcbi.1005404 <https://doi.org/10.1371/journal.pcbi.1005404>, <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005404>.
Temple Lang D (2022). _RCurl: General Network (HTTP/FTP/...) Client Interface for R_. R package version 1.98-1.9, <https://CRAN.R-project.org/package=RCurl>.
Chang W, Borges Ribeiro B (2021). _shinydashboard: Create Dashboards with 'Shiny'_. R package version 0.7.2, <https://CRAN.R-project.org/package=shinydashboard>.
Attali D (2021). _shinyjs: Easily Improve the User Experience of Your Shiny Apps in Seconds_. R package version 2.1.0, <https://CRAN.R-project.org/package=shinyjs>.
Merlino A, Howard P (2021). _shinyFeedback: Display User Feedback in Shiny Apps_. R package version 0.4.0, <https://CRAN.R-project.org/package=shinyFeedback>.
Perry PO (2021). _utf8: Unicode Text Processing_. R package version 1.2.2, <https://CRAN.R-project.org/package=utf8>.
Ooms J (2022). _sodium: A Modern and Easy-to-Use Crypto Library_. R package version 1.2.1, <https://CRAN.R-project.org/package=sodium>.
Dowle M, Srinivasan A (2021). _data.table: Extension of `data.frame`_. R package version 1.14.2, <https://CRAN.R-project.org/package=data.table>.
Xie Y, Cheng J, Tan X (2022). _DT: A Wrapper of the JavaScript Library 'DataTables'_. R package version 0.25, <https://CRAN.R-project.org/package=DT>.
Henry L, Wickham H (2022). _rlang: Functions for Base Types and Core R and 'Tidyverse' Features_. R package version 1.0.6, <https://CRAN.R-project.org/package=rlang>.
Wickham H (2019). _stringr: Simple, Consistent Wrappers for Common String Operations_. R package version 1.4.0, <https://CRAN.R-project.org/package=stringr>.
Wickham H, François R, Henry L, Müller K (2022). _dplyr: A Grammar of Data Manipulation_. R package version 1.0.9, <https://CRAN.R-project.org/package=dplyr>.
Perrier V, Meyer F, Granjon D (2022). _shinyWidgets: Custom Inputs Widgets for Shiny_. R package version 0.7.4, <https://CRAN.R-project.org/package=shinyWidgets>.
C. Sievert. Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC Florida, 2020.
Bailey E (2022). _shinyBS: Twitter Bootstrap Components for Shiny_. R package version 0.61.1, <https://CRAN.R-project.org/package=shinyBS>.
Scott Chamberlain and Eduard Szocs (2013). taxize - taxonomic search and retrieval in R. F1000Research, 2:191. URL: https://f1000research.com/articles/2-191/v2
Meyer F, Perrier V (2022). _shinybusy: Busy Indicators and Notifications for 'Shiny' Applications_. R package version 0.3.1, <https://CRAN.R-project.org/package=shinybusy>.
Collier AB (2022). _emayili: Send Email Messages_. R package version 0.7.11, <https://CRAN.R-project.org/package=emayili>.
Grothendieck G (2018). _gsubfn: Utilities for Strings and Function Arguments_. R package version 0.7, <https://CRAN.R-project.org/package=gsubfn>.
Gagolewski M (2022). “stringi: Fast and portable character string processing in R.” _Journal of Statistical Software_, *103*(2), 1-59. doi:10.18637/jss.v103.i02 <https://doi.org/10.18637/jss.v103.i02>.
Foster Z, Sharpton T, Grünwald N (2017). “Metacoder: An R package for visualization and manipulation of community taxonomic diversity data.” _PLOS Computational Biology_, *13*(2), 1-15. doi:10.1371/journal.pcbi.1005404 <https://doi.org/10.1371/journal.pcbi.1005404>, <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005404>.
Temple Lang D (2022). _RCurl: General Network (HTTP/FTP/...) Client Interface for R_. R package version 1.98-1.9, <https://CRAN.R-project.org/package=RCurl>.
Chang W, Borges Ribeiro B (2021). _shinydashboard: Create Dashboards with 'Shiny'_. R package version 0.7.2, <https://CRAN.R-project.org/package=shinydashboard>.
Attali D (2021). _shinyjs: Easily Improve the User Experience of Your Shiny Apps in Seconds_. R package version 2.1.0, <https://CRAN.R-project.org/package=shinyjs>.
Merlino A, Howard P (2021). _shinyFeedback: Display User Feedback in Shiny Apps_. R package version 0.4.0, <https://CRAN.R-project.org/package=shinyFeedback>.
Perry PO (2021). _utf8: Unicode Text Processing_. R package version 1.2.2, <https://CRAN.R-project.org/package=utf8>.