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qmotif: determination of telomere content from whole-genome sequence data
MOTIVATION: Changes in telomere length have been observed in cancer and can be indicative of mechanisms involved in carcinogenesis. Most methods used to estimate telomere length require laboratory analysis of DNA samples. Here, we present qmotif, a fast and easy tool that determines telomeric repeat...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710677/ https://www.ncbi.nlm.nih.gov/pubmed/36699384 http://dx.doi.org/10.1093/bioadv/vbac005 |
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author | Holmes, Oliver Nones, Katia Tang, Yue Hang Loffler, Kelly A Lee, Michael Patch, Ann-Marie Dagg, Rebecca A Lau, Loretta M S Leonard, Conrad Wood, Scott Xu, Qinying Pickett, Hilda A Reddel, Roger R Barbour, Andrew P Grimmond, Sean M Waddell, Nicola Pearson, John V |
author_facet | Holmes, Oliver Nones, Katia Tang, Yue Hang Loffler, Kelly A Lee, Michael Patch, Ann-Marie Dagg, Rebecca A Lau, Loretta M S Leonard, Conrad Wood, Scott Xu, Qinying Pickett, Hilda A Reddel, Roger R Barbour, Andrew P Grimmond, Sean M Waddell, Nicola Pearson, John V |
author_sort | Holmes, Oliver |
collection | PubMed |
description | MOTIVATION: Changes in telomere length have been observed in cancer and can be indicative of mechanisms involved in carcinogenesis. Most methods used to estimate telomere length require laboratory analysis of DNA samples. Here, we present qmotif, a fast and easy tool that determines telomeric repeat sequences content as an estimate of telomere length directly from whole-genome sequencing. RESULTS: qmotif shows similar results to quantitative PCR, the standard method for high-throughput clinical telomere length quantification. qmotif output correlates strongly with the output of other tools for determining telomere sequence content, TelSeq and TelomereHunter, but can run in a fraction of the time—usually under a minute. AVAILABILITY AND IMPLEMENTATION: qmotif is implemented in Java and source code is available at https://github.com/AdamaJava/adamajava, with instructions on how to build and use the application available from https://adamajava.readthedocs.io/en/latest/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. |
format | Online Article Text |
id | pubmed-9710677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97106772023-01-24 qmotif: determination of telomere content from whole-genome sequence data Holmes, Oliver Nones, Katia Tang, Yue Hang Loffler, Kelly A Lee, Michael Patch, Ann-Marie Dagg, Rebecca A Lau, Loretta M S Leonard, Conrad Wood, Scott Xu, Qinying Pickett, Hilda A Reddel, Roger R Barbour, Andrew P Grimmond, Sean M Waddell, Nicola Pearson, John V Bioinform Adv Application Note MOTIVATION: Changes in telomere length have been observed in cancer and can be indicative of mechanisms involved in carcinogenesis. Most methods used to estimate telomere length require laboratory analysis of DNA samples. Here, we present qmotif, a fast and easy tool that determines telomeric repeat sequences content as an estimate of telomere length directly from whole-genome sequencing. RESULTS: qmotif shows similar results to quantitative PCR, the standard method for high-throughput clinical telomere length quantification. qmotif output correlates strongly with the output of other tools for determining telomere sequence content, TelSeq and TelomereHunter, but can run in a fraction of the time—usually under a minute. AVAILABILITY AND IMPLEMENTATION: qmotif is implemented in Java and source code is available at https://github.com/AdamaJava/adamajava, with instructions on how to build and use the application available from https://adamajava.readthedocs.io/en/latest/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online. Oxford University Press 2022-01-31 /pmc/articles/PMC9710677/ /pubmed/36699384 http://dx.doi.org/10.1093/bioadv/vbac005 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Note Holmes, Oliver Nones, Katia Tang, Yue Hang Loffler, Kelly A Lee, Michael Patch, Ann-Marie Dagg, Rebecca A Lau, Loretta M S Leonard, Conrad Wood, Scott Xu, Qinying Pickett, Hilda A Reddel, Roger R Barbour, Andrew P Grimmond, Sean M Waddell, Nicola Pearson, John V qmotif: determination of telomere content from whole-genome sequence data |
title | qmotif: determination of telomere content from whole-genome sequence data |
title_full | qmotif: determination of telomere content from whole-genome sequence data |
title_fullStr | qmotif: determination of telomere content from whole-genome sequence data |
title_full_unstemmed | qmotif: determination of telomere content from whole-genome sequence data |
title_short | qmotif: determination of telomere content from whole-genome sequence data |
title_sort | qmotif: determination of telomere content from whole-genome sequence data |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710677/ https://www.ncbi.nlm.nih.gov/pubmed/36699384 http://dx.doi.org/10.1093/bioadv/vbac005 |
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