sequencing data

How is Sequencing Data Analyzed?

Analyzing sequencing data involves several steps:
Data Quality Control: Ensuring the raw data is of high quality by removing low-quality reads and contaminants.
Alignment: Mapping the sequencing reads to a reference genome to identify variations.
Variant Calling: Detecting genetic mutations, including single nucleotide variants (SNVs), insertions, deletions, and structural variations.
Annotation: Linking identified variants to known genes, pathways, and diseases.
Interpretation: Understanding the biological significance of the variants and their implications for cancer development and treatment.

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