Integrated bioinformatic pipeline using whole-exome and RNAseq data to identify germline variants correlated with cancer

Germline Variants (GVs) are effective in predicting cancer risk and may be relevant in predicting patient outcomes. Here we provide a bioinformatic pipeline to identify GVs from the TCGA lower grade glioma cohort in Genomics Data Commons. We integrate paired whole exome sequences from normal and tum...

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Detalles Bibliográficos
Autores principales: Sahu, Divya, Chatrath, Ajay, Ratan, Aakrosh, Dutta, Anindya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987392/
https://www.ncbi.nlm.nih.gov/pubmed/35403010
http://dx.doi.org/10.1016/j.xpro.2022.101273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987392/
https://www.ncbi.nlm.nih.gov/pubmed/35403010
http://dx.doi.org/10.1016/j.xpro.2022.101273

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