Use Apache Spark's built-in functions to directly process the genomic sequences without any data transformation or schema definition.

Define a custom schema for the genomic sequences and use Apache Spark to read, transform, and process the data according to the defined schema, leveraging its machine learning and graph processing libraries.

Use a traditional database system to store and process the genomic sequences, as it can handle complex transformations and analysis more effectively than Apache Spark.

Ignore the unstructured nature of the data and apply a one-size-fits-all approach to processing the genomic sequences using Apache Spark.