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- %SUMMARY
- %- ABSTRACT
- %- INTRODUCTION
- %# BASICS
- %- \acs{DNA} STRUCTURE
- %- DATA TYPES
- % - BAM/FASTQ
- % - NON STANDARD
- %- COMPRESSION APPROACHES
- % - SAVING DIFFERENCES WITH GIVEN BASE \acs{DNA}
- % - HUFFMAN ENCODING
- % - PROBABILITY APPROACHES (WITH BASE?)
- %
- %# COMPARING TOOLS
- %-
- %# POSSIBLE IMPROVEMENT
- %- \acs{DNA}S STOCHASTICAL ATTRIBUTES
- %- IMPACT ON COMPRESSION
- \section{Compression aproaches}
- Several algorithms for data compression, have been prooven efficient over the last decades. The well known Huffman coding, is used in several Tools for genome compression (genomic squeeze <- offizial | inofficial -> GDC, GRS).
- further algos
- - (r)ANS Arithmetik numeral systems
- - Arithmetic encoding
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