Application of next generation sequencing techniques in the field of liquid biopsy, in particular urine, requires specific bioinformatics methods in order to deal with its peculiarity. Many aspects of cancer can be explored starting from nucleic acids, especially from cell-free DNA and circulating tumor DNA in order to characterize cancer. It is possible to detect small mutations, as single nucleotide variants, small insertions and deletions, copy-number alterations, and epigenetic profiles. Due to the low fraction of circulating tumor DNA over the whole cell-free DNA, some methods have been exploited. One of them is the application of unique barcodes to each DNA fragment in order to lower the limit of detection of cancer-related variants. Some bioinformatics workflows and tools are the same of a classic analysis of tumor tissue, but there are some steps in which specific algorithms have to be introduced.

Angeli, D. (2021). Urinary Nucleic Acid in Tumor: Bioinformatics Approaches. 999 RIVERVIEW DR, STE 208, TOTOWA, NJ 07512-1165 USA : Humana Press Inc. [10.1007/978-1-0716-1354-2_8].

Urinary Nucleic Acid in Tumor: Bioinformatics Approaches

Angeli D.
2021

Abstract

Application of next generation sequencing techniques in the field of liquid biopsy, in particular urine, requires specific bioinformatics methods in order to deal with its peculiarity. Many aspects of cancer can be explored starting from nucleic acids, especially from cell-free DNA and circulating tumor DNA in order to characterize cancer. It is possible to detect small mutations, as single nucleotide variants, small insertions and deletions, copy-number alterations, and epigenetic profiles. Due to the low fraction of circulating tumor DNA over the whole cell-free DNA, some methods have been exploited. One of them is the application of unique barcodes to each DNA fragment in order to lower the limit of detection of cancer-related variants. Some bioinformatics workflows and tools are the same of a classic analysis of tumor tissue, but there are some steps in which specific algorithms have to be introduced.
2021
Methods in Molecular Biology
95
104
Angeli, D. (2021). Urinary Nucleic Acid in Tumor: Bioinformatics Approaches. 999 RIVERVIEW DR, STE 208, TOTOWA, NJ 07512-1165 USA : Humana Press Inc. [10.1007/978-1-0716-1354-2_8].
Angeli, D.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1007333
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