genomic data analysis

What are the Key Steps in Genomic Data Analysis?

1. Data Collection: Obtaining genetic samples from subjects.
2. Sequencing: Using technologies like NGS to read the genetic code.
3. Preprocessing: Cleaning and organizing raw data for analysis.
4. Alignment: Comparing sequences against reference genomes.
5. Variant Calling: Identifying genetic variations.
6. Annotation: Linking variations to known biological functions.
7. Statistical Analysis: Using statistical methods to find associations between genetic variations and diseases.

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