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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...
Autores principales: | Sahu, Divya, Chatrath, Ajay, Ratan, Aakrosh, Dutta, Anindya |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
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 |
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