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WALTER: an easy way to online evaluate telomere lengths from terminal restriction fragment analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081707%3A_____%2F21%3A00542027" target="_blank" >RIV/68081707:_____/21:00542027 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14740/21:00119108

  • Result on the web

    <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04064-0" target="_blank" >https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04064-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s12859-021-04064-0" target="_blank" >10.1186/s12859-021-04064-0</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    WALTER: an easy way to online evaluate telomere lengths from terminal restriction fragment analysis

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    BMC Bioinformatics

  • ISSN

    1471-2105

  • e-ISSN

    1471-2105

  • Volume of the periodical

    22

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    145

  • UT code for WoS article

    000634776700003

  • EID of the result in the Scopus database

    2-s2.0-85102696153