Method and systems for genome sequence compression

A method for compression decoding of a bit stream comprising a compressed genome sequence comprising:

• decoding one or more controlling parameters;
• partitioning the bit stream into a plurality of segments based on the one or more controlling parameters;
• decoding each of the multiple segments to generate one of a plurality of Group of Bases (GoBs) of a genome sequence, wherein decoding each of the multiple segments comprises:
• decoding each of the multiple segments through an arithmetic decoder;
• and
• decoding the arithmetically decoded multiple segment by a probability estimator including a Markov model and a learning-based model to generate one of the plurality of GoBs of the genome sequence.

A system for genome sequence compression comprising:

• a processor;
• and
• a memory coupled to the processor, wherein the memory stores instructions which when compiled by the processor enable the processor to:
• partition a genome sequence into a plurality of Group of Bases (GoBs);
• and
• process each of the plurality of GoBs independently to encode the genome sequence into a bit stream, wherein independent processing each of the plurality of GoBs comprises:
• dividing each of the plurality of GOBs into a first part and a second part, wherein the first part comprises an initial context part and the second part comprises a learning-based inference part;
• encoding the first part in accordance with a Markov model;
• encoding the second part in accordance with a learning-based model;
• and
• encoding the encoded first part and the encoded second part into the bit stream with an arithmetic encoder.