Quantifying the influence of mutation detection on tumour subclonal reconstruction
The impact of variant calling algorithms on the analysis of intra-tumour heterogeneity has not been properly quantified. Here the authors measure the variability of 22 pipelines with different variant callers and clustering algorithms for subclonal reconstruction to inform future analyses.
Enregistré dans:
Auteurs principaux: | , , , , , , |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/aa348a33ae6a40059a2acc59be8bbea2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
id |
oai:doaj.org-article:aa348a33ae6a40059a2acc59be8bbea2 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:aa348a33ae6a40059a2acc59be8bbea22021-12-02T13:24:24ZQuantifying the influence of mutation detection on tumour subclonal reconstruction10.1038/s41467-020-20055-w2041-1723https://doaj.org/article/aa348a33ae6a40059a2acc59be8bbea22020-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20055-whttps://doaj.org/toc/2041-1723The impact of variant calling algorithms on the analysis of intra-tumour heterogeneity has not been properly quantified. Here the authors measure the variability of 22 pipelines with different variant callers and clustering algorithms for subclonal reconstruction to inform future analyses.Lydia Y. LiuVinayak BhandariAdriana SalcedoShadrielle M. G. EspirituQuaid D. MorrisThomas KislingerPaul C. BoutrosNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-15 (2020) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Science Q |
spellingShingle |
Science Q Lydia Y. Liu Vinayak Bhandari Adriana Salcedo Shadrielle M. G. Espiritu Quaid D. Morris Thomas Kislinger Paul C. Boutros Quantifying the influence of mutation detection on tumour subclonal reconstruction |
description |
The impact of variant calling algorithms on the analysis of intra-tumour heterogeneity has not been properly quantified. Here the authors measure the variability of 22 pipelines with different variant callers and clustering algorithms for subclonal reconstruction to inform future analyses. |
format |
article |
author |
Lydia Y. Liu Vinayak Bhandari Adriana Salcedo Shadrielle M. G. Espiritu Quaid D. Morris Thomas Kislinger Paul C. Boutros |
author_facet |
Lydia Y. Liu Vinayak Bhandari Adriana Salcedo Shadrielle M. G. Espiritu Quaid D. Morris Thomas Kislinger Paul C. Boutros |
author_sort |
Lydia Y. Liu |
title |
Quantifying the influence of mutation detection on tumour subclonal reconstruction |
title_short |
Quantifying the influence of mutation detection on tumour subclonal reconstruction |
title_full |
Quantifying the influence of mutation detection on tumour subclonal reconstruction |
title_fullStr |
Quantifying the influence of mutation detection on tumour subclonal reconstruction |
title_full_unstemmed |
Quantifying the influence of mutation detection on tumour subclonal reconstruction |
title_sort |
quantifying the influence of mutation detection on tumour subclonal reconstruction |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/aa348a33ae6a40059a2acc59be8bbea2 |
work_keys_str_mv |
AT lydiayliu quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT vinayakbhandari quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT adrianasalcedo quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT shadriellemgespiritu quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT quaiddmorris quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT thomaskislinger quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT paulcboutros quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction |
_version_ |
1718393113430458368 |