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WALTER: an easy way to online evaluate telomere lengths from terminal restriction fragment analysis
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SYSNO ASEP 0542027 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title WALTER: an easy way to online evaluate telomere lengths from terminal restriction fragment analysis Author(s) Lycka, M. (CZ)
Peška, Vratislav (BFU-R) RID, ORCID
Demko, M. (CZ)
Spyroglou, I. (CZ)
Kilar, A. (CZ)
Fajkus, Jiří (BFU-R) RID, ORCID
Fojtová, M. (CZ)Number of authors 7 Article number 145 Source Title BMC Bioinformatics. - : BioMed Central - ISSN 1471-2105
Roč. 22, č. 1 (2021)Number of pages 14 s. Publication form Print - P Language eng - English Country GB - United Kingdom Keywords Telomere length ; Terminal restriction fragments ; Online toolset Subject RIV CE - Biochemistry OECD category Biochemistry and molecular biology R&D Projects GA18-07027S GA ČR - Czech Science Foundation (CSF) GX20-01331X GA ČR - Czech Science Foundation (CSF) EF15_003/0000477 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support BFU-R - RVO:68081707 UT WOS 000634776700003 EID SCOPUS 85102696153 DOI 10.1186/s12859-021-04064-0 Annotation BackgroundTelomeres, nucleoprotein structures comprising short tandem repeats and delimiting the ends of linear eukaryotic chromosomes, play an important role in the maintenance of genome stability. Therefore, the determination of the length of telomeres is of high importance for many studies. Over the last years, new methods for the analysis of the length of telomeres have been developed, including those based on PCR or analysis of NGS data. Despite that, terminal restriction fragment (TRF) method remains the gold standard to this day. However, this method lacks universally accepted and precise tool capable to analyse and statistically evaluate TRF results.ResultsTo standardize the processing of TRF results, we have developed WALTER, an online toolset allowing rapid, reproducible, and user-friendly analysis including statistical evaluation of the data. Given its web-based nature, it provides an easily accessible way to analyse TRF data without any need to install additional software.ConclusionsWALTER represents a major upgrade from currently available tools for the image processing of TRF scans. This toolset enables a rapid, highly reproducible, and user-friendly evaluation of almost any TRF scan including in-house statistical evaluation of the data. WALTER platform together with user manual describing the evaluation of TRF scans in detail and presenting tips and troubleshooting, as well as test data to demo the software are available at https://www.ceitec.eu/chromatin-molecular-complexes-jiri-fajkus/rg51/tab?tabId=125#WALTER and the source code at https://github.com/mlyc93/WALTER. Workplace Institute of Biophysics Contact Jana Poláková, polakova@ibp.cz, Tel.: 541 517 244 Year of Publishing 2022 Electronic address https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04064-0
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