Accelerated processing of genomic data and streamlined visualization of genomic insights

1. A computer-implemented method of efficient tertiary analysis of genomic data, the method including:

splitting a genomic data file into a plurality of segments, and storing segments in the plurality of segments across nodes of a distributed storage system, the distributed storage system indexing entries in the genomic data file using one or more indices, and generating a ledger that maps ranges of the indices to corresponding ones of the nodes on which the entries are stored;

pushing the segments, the indices, and the ledger from the nodes of the distributed storage system to nodes of a distributed, in-memory computing engine;

distributing directives of tertiary analysis job contexts for the genomic data file across the nodes of the distributed, in-memory computing engine;

directly executing the distributed directives on the segments stored on the nodes of the distributed, in-memory computing engine to cause parallel processing of the segments; and

aggregating results of the parallel processing across the nodes of the distributed, in-memory computing engine to produce an output.

2. The computer-implemented method of claim 1 , further including using a dedicated connector to push the segments, the indices, and the ledger from the nodes of the distributed storage system to the nodes of the distributed, in-memory computing engine.

3. The computer-implemented method of claim 2 , wherein the dedicated connector indexes across the nodes of the distributed storage system, and loads the segments onto corresponding ones of the nodes of the distributed, in-memory computing engine.

4. The computer-implemented method of claim 1 , wherein the read-only memories do not require file systems for managing read/write operations.

5. The computer-implemented method of claim 4 , wherein the directives of tertiary analysis job contexts are agnostic to changes to the genomic data file.

6. The computer-implemented method of claim 1 , wherein the directives of tertiary analysis job contexts are agnostic to changes to the genomic data file.

7. The computer-implemented method of claim 1 , further including pre-fetching a reference dataset to the nodes of the distributed, in-memory computing engine, and making the reference dataset available in advance for the parallel processing of the segments.

8. The computer-implemented method of claim 7 , wherein the reference dataset has a Parquet format.

9. A system including one or more processors coupled to memory, the memory loaded with computer instructions to perform efficient tertiary analysis of genomic data, the instructions, when executed on the processors, implement actions comprising:

splitting a genomic data file into a plurality of segments, and storing segments in the plurality of segments across nodes of a distributed storage system, the distributed storage system indexing entries in the genomic data file using one or more indices, and generating a ledger that maps ranges of the indices to corresponding ones of the nodes on which the entries are stored;

pushing the segments, the indices, and the ledger from the nodes of the distributed storage system to nodes of a distributed, in-memory computing engine;

distributing directives of tertiary analysis job contexts for the genomic data file across the nodes of the distributed, in-memory computing engine;

directly executing the distributed directives on the segments stored on the nodes of the distributed, in-memory computing engine to cause parallel processing of the segments; and

aggregating results of the parallel processing across the nodes of the distributed, in-memory computing engine to produce an output.

10. The system of claim 9 , wherein the nodes of the distributed, in-memory computing engine are read-only memories that do not require file systems for managing read/write operations.

11. The system of claim 9 , wherein the directives of tertiary analysis job contexts are agnostic to changes to the genomic data file.

12. The system of claim 9 , further implementing actions comprising pre-fetching a reference dataset to the nodes of the distributed, in-memory computing engine, and making the reference dataset available in advance for the parallel processing of the segments.

13. A non-transitory computer readable storage medium impressed with computer program instructions to perform efficient tertiary analysis of genomic data, the instructions, when executed on a processor, implement a method comprising:

splitting a genomic data file into a plurality of segments, and storing segments in the plurality of segments across nodes of a distributed storage system, the distributed storage system indexing entries in the genomic data file using one or more indices, and generating a ledger that maps ranges of the indices to corresponding ones of the nodes on which the entries are stored;

pushing the segments, the indices, and the ledger from the nodes of the distributed storage system to nodes of a distributed, in-memory computing engine;

distributing directives of tertiary analysis job contexts for the genomic data file across the nodes of the distributed, in-memory computing engine;

directly executing the distributed directives on the segments stored on the nodes of the distributed, in-memory computing engine to cause parallel processing of the segments; and

aggregating results of the parallel processing across the nodes of the distributed, in-memory computing engine to produce an output.

14. The non-transitory computer readable storage medium of claim 13 , wherein the nodes of the distributed, in-memory computing engine are read-only memories that do not require file systems for managing read/write operations.

15. The non-transitory computer readable storage medium of claim 13 , wherein the directives of tertiary analysis job contexts are agnostic to changes to the genomic data file.