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GeCo++: a C++ library for genomic features computation and annotation in the presence of variants
Author(s) -
Matteo Cereda,
Manuela Sironi,
Matteo Cavalleri,
Uberto Pozzoli
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr123
Subject(s) - annotation , computer science , documentation , mit license , limiting , class (philosophy) , license , overhead (engineering) , hierarchy , computation , code (set theory) , software , source code , class hierarchy , theoretical computer science , algorithm , data mining , programming language , set (abstract data type) , artificial intelligence , operating system , object oriented programming , mechanical engineering , economics , engineering , market economy
We propose a C++ class library developed to the purpose of making the implementation of sequence analysis algorithms easier and faster when genomic annotations and variations need to be considered. The library provides a class hierarchy to seamlessly bind together annotations of genomic elements to sequences and to algorithm results; it allows to evaluate the effect of mutations/variations in terms of both element position shifts and of algorithm results, limiting recalculation to the minimum. Particular care has been posed to keep memory and time overhead into acceptable limits.

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