Three subsets of sequence complexity and their relevance to biopolymeric information

Theoretical Biology and Medical Modelling

Volumn 2, Issue , 2005, Pages

  Abel, David L ^a   Trevors, Jack T ^b  

^a Gene Emergence Project   (United States)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOPOLYMER; NUCLEOTIDE; CELL CYCLE PROTEIN; CYCLINE; NOCODAZOLE; NUCLEAR PROTEIN; POLYMER; THYMIDINE;

BIOENGINEERING; GENE SEQUENCE; GENETIC ALGORITHM; HOMEOSTASIS; HYPOTHESIS; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; METABOLISM; NEGATIVE FEEDBACK; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RANDOMIZATION; REVIEW; SEMANTICS; STATISTICAL ANALYSIS; STOCHASTIC MODEL; THEORETICAL MODEL; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOLOGY; CELL CYCLE; CHEMISTRY; COMPUTER; COMPUTER PROGRAM; DRUG EFFECT; GENE EXPRESSION REGULATION; GENETICS; HELA CELL; HUMAN; INFORMATION SCIENCE; METHODOLOGY; NOTE; REPRODUCIBILITY; SEQUENCE ALIGNMENT; STATISTICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CELL CYCLE; CELL CYCLE PROTEINS; COMPUTATIONAL BIOLOGY; COMPUTERS; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION REGULATION; GENETICS; HELA CELLS; HUMANS; INFORMATION THEORY; MODELS, BIOLOGICAL; MODELS, GENETIC; NOCODAZOLE; NUCLEAR PROTEINS; PATTERN RECOGNITION, AUTOMATED; POLYMERS; PROLIFERATING CELL NUCLEAR ANTIGEN; REPRODUCIBILITY OF RESULTS; SEQUENCE ALIGNMENT; SOFTWARE; STOCHASTIC PROCESSES; THYMIDINE;

EID: 24944448695     PISSN: 17424682     EISSN: None     Source Type: Journal    
DOI: 10.1186/1742-4682-2-29     Document Type: Review

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