%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

%\chapter{Analysis for Possible Compression Improvements}
\chapter{Feasibillity Analysis for New Algorithm Considering Stochastic Organisation of Genomes}

% first thoughts:
% - just save one nuceleotide every n bits
% - save checksum for whole genome

% - use algorithms (from new discoveries) to recreate genome
% - check checksum -> finished : retry

% - can run recursively and threaded

% - im falle von testdata: hetzer, dedizierter hardware, auf server compilen, specs aufschreiben -> 'lscpu' || 'cat /proc/cpuinfo'
