A fuzzy-set-theory-based approach to analyse species membership in DNA barcoding

Molecular Ecology

Volumn 21, Issue 8, 2012, Pages 1848-1863

  Zhang, A B ^a   Muster, C ^b   Liang, H B ^c   Zhu, C D ^c   Crozier, R ^d   Wan, P ^a   Feng, J ^a   Ward, R D ^e  

^a CAPITAL NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF GREIFSWALD   (Germany)

^c INSTITUTE OF ZOOLOGY   (China)

^d JAMES COOK UNIVERSITY   (Australia)

^e CSIRO   (Australia)

Author keywords

DNA barcoding; fuzzy set theory; species membership; statistical approach

Indexed keywords

DNA;

ALGORITHM; ANIMAL; ARTICLE; BAT; BAYES THEOREM; BIODIVERSITY; BIOLOGY; BUTTERFLY; CLASSIFICATION; DNA BARCODING; DNA SEQUENCE; FISH; FLY; GENETICS; METHODOLOGY; SPECIES DIFFERENCE;

ALGORITHMS; ANIMALS; BAYES THEOREM; BIODIVERSITY; BUTTERFLIES; CHIROPTERA; COMPUTATIONAL BIOLOGY; DIPTERA; DNA; DNA BARCODING, TAXONOMIC; FISHES; SEQUENCE ANALYSIS, DNA; SPECIES SPECIFICITY;

PAPILIONOIDEA; PISCES;

EID: 84857404999     PISSN: 09621083     EISSN: 1365294X     Source Type: Journal    
DOI: 10.1111/j.1365-294X.2011.05235.x     Document Type: Article

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