%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