A new approach for the identification of processed pseudogenes

Journal of Computational Biology

Volumn 17, Issue 5, 2010, Pages 755-765

  Molineris, Ivan ^a   Sales, Gabriele ^a   Bianchi, Federico ^a   Di Cunto, Ferdinando ^a   Caselle, Michele ^a  

^a UNIVERSITY OF TURIN   (Italy)

Author keywords

Algorithms; Alignment; Computational molecular biology; Distance geometry; Genenetworks; Percolation theory; Sequence analysis

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; DNA SEQUENCE; GENETICS; HUMAN; HUMAN GENOME; INTRON; METHODOLOGY; MOLECULAR GENETICS; MOUSE; NUCLEIC ACID DATABASE; NUCLEOTIDE SEQUENCE; PSEUDOGENE; RETROPOSON; SEQUENCE ALIGNMENT;

ALGORITHMS; ANIMALS; BASE SEQUENCE; DATABASES, NUCLEIC ACID; GENOME, HUMAN; HUMANS; INTRONS; MICE; MOLECULAR SEQUENCE DATA; PSEUDOGENES; RETROELEMENTS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA;

EID: 77952979498     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2009.0027     Document Type: Article

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