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BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
LATA
2010
Springer
14 years 19 days ago
A Randomized Numerical Aligner (rNA)
With the advent of new sequencing technologies able to produce an enormous quantity of short genomic sequences, new tools able to search for them inside a references sequence genom...
Alberto Policriti, Alexandru I. Tomescu, Francesco...
CCS
2007
ACM
14 years 1 months ago
Privacy preserving error resilient dna searching through oblivious automata
Human Desoxyribo-Nucleic Acid (DNA) sequences offer a wealth of information that reveal, among others, predisposition to various diseases and paternity relations. The breadth and...
Juan Ramón Troncoso-Pastoriza, Stefan Katze...
EVOW
2010
Springer
13 years 6 months ago
Finding Gapped Motifs by a Novel Evolutionary Algorithm
Background: Identifying approximately repeated patterns, or motifs, in DNA sequences from a set of co-regulated genes is an important step towards deciphering the complex gene reg...
Chengwei Lei, Jianhua Ruan
BMCBI
2010
176views more  BMCBI 2010»
13 years 7 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...