Evangelos Kranakis

Prof. Dr. Evangelos Kranakis

School of Computer Science, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada
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Research Focus & Metrics

Academic Career Length

45Years (1982-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2000 in Theoretical Computer Science
Verified
Journal Article
Closed access
LKLefteris M. Kirousis
Lefteris M. Kirousis
Evangelos KranakisEvangelos Kranakis
Evangelos Kranakis
DKDanny Krizanc
Danny Krizanc
APAndrzej Pelc
Andrzej Pelc

19 April 2005 in RNA
Verified
Journal Article
Open access
PDF file
PCPeter Clote
Peter Clote
FFFabrizio Ferré
Fabrizio Ferré
Evangelos KranakisEvangelos Kranakis
Evangelos Kranakis
DKDanny Krizanc
Danny Krizanc
We present results of computer experiments that indicate that several RNAs for which the native state (minimum free energy secondary structure) is functionally important (type III hammerhead ribozymes, signal recognition particle RNAs, U2 small nucleolar spliceosomal RNAs, certain riboswitches, etc.) all have lower folding energy than random RNAs of the same length and dinucleotide frequency. Additionally, we find that whole mRNA as well as 5′-UTR, 3′-UTR, and cds regions of mRNA have folding energies comparable to that of random RNA, although there may be a statistically insignificant trace signal in 3′-UTR and cds regions. Various authors have used nucleotide (approximate) pattern matching and the computation of minimum free energy as filters to detect potential RNAs in ESTs and genomes. We introduce a new concept of the asymptotic Z-score and describe a fast, whole-genome scanning algorithm to compute asymptotic minimum free energy Z-scores of moving-window contents. Asymptotic Z-score computations offer another filter, to be used along with nucleotide pattern matching and minimum free energy computations, to detect potential functional RNAs in ESTs and genomic regions.

1 April 2006 in Theoretical Computer Science
Verified
Journal Article
Closed access
GMGianluca De Marco
Gianluca De Marco
LGLuisa Gargano
Luisa Gargano
Evangelos KranakisEvangelos Kranakis
Evangelos Kranakis
DKDanny Krizanc
Danny Krizanc
APAndrzej Pelc
Andrzej Pelc
UVUgo Vaccaro
Ugo Vaccaro

1 October 2008 in Information Processing Letters
Verified
Journal Article
Closed access
PBProsenjit Bose
Prosenjit Bose
HGHua Guo
Hua Guo
Evangelos KranakisEvangelos Kranakis
Evangelos Kranakis
AMAnil Maheshwari
Anil Maheshwari
PMPat Morin
Pat Morin
YTYihui Tang
Yihui Tang

1 April 2004 in Journal of Algorithms
Verified
Journal Article
Closed access
KDKrzysztof Diks
Krzysztof Diks
PFPierre Fraigniaud
Pierre Fraigniaud
Evangelos KranakisEvangelos Kranakis
Evangelos Kranakis
APAndrzej Pelc
Andrzej Pelc

1 December 2009 in Theoretical Computer Science
Verified
Journal Article
Closed access
BBBinay Bhattacharya
Binay Bhattacharya
MBMike Burmester
Mike Burmester
YHYuzhuang Hu
Yuzhuang Hu
Evangelos KranakisEvangelos Kranakis
Evangelos Kranakis
QSQiaosheng Shi
Qiaosheng Shi
AWAndreas Wiese
Andreas Wiese