Importing statistical measures into Artemis enhances gene identification in the Leishmania genome project

BMC Bioinformatics

Volumn 4, Issue , 2003, Pages

  Aggarwal, Gautam ^a   Worthey, E A ^a   McDonagh, Paul D ^b   Myler, Peter J ^a,c  

^a SEATTLE BIOMEDICAL RESEARCH INSTITUTE   (United States)

^b AMGEN INC   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BIOMEDICINE; CODON USAGE; COMPUTER INTERFACE; COMPUTER PROGRAM; CONTROLLED STUDY; GENE IDENTIFICATION; GENE SEQUENCE; INTERMETHOD COMPARISON; LEISHMANIA; LEISHMANIA MAJOR; MEDICAL RESEARCH; NONHUMAN; NUCLEOTIDE SEQUENCE; PREDICTION; PROTOZOAL GENETICS; SEQUENCE ANALYSIS; STATISTICAL ANALYSIS; TRYPANOSOMA; UNITED STATES; ALGORITHM; AMINO ACID SEQUENCE; ANIMAL; BIOLOGY; COMPUTER LANGUAGE; GENE; GENETICS; GENOME; METHODOLOGY; MOLECULAR GENETICS; PREDICTION AND FORECASTING; STATISTICAL MODEL; STATISTICS;

LEISHMANIA MAJOR; PROTOZOA;

PROTOZOAL PROTEIN;

ALGORITHMS; AMINO ACID SEQUENCE; ANIMALS; BASE SEQUENCE; COMPUTATIONAL BIOLOGY; GENES, PROTOZOAN; GENOME, PROTOZOAN; LEISHMANIA MAJOR; MODELS, STATISTICAL; MOLECULAR SEQUENCE DATA; PREDICTIVE VALUE OF TESTS; PROGRAMMING LANGUAGES; PROTOZOAN PROTEINS;

EID: 0345181812     PISSN: 14712105     EISSN: None     Source Type: Journal    
DOI: 10.1186/1471-2105-4-23     Document Type: Article

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