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CIBCB
2005
IEEE
14 years 1 months ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
RECOMB
2005
Springer
14 years 8 months ago
Consensus Folding of Unaligned RNA Sequences Revisited
As one of the earliest problems in computational biology, RNA secondary structure prediction (sometimes referred to as "RNA folding") problem has attracted attention agai...
Vineet Bafna, Haixu Tang, Shaojie Zhang
ICASSP
2007
IEEE
14 years 2 months ago
Toward Turbo Decoding of RNA Secondary Structure
We propose an iterative probabilistic algorithm for estimation of RNA secondary structure using sequence data from two homologous sequences. The method is intended to exploit inte...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
BMCBI
2010
98views more  BMCBI 2010»
13 years 7 months ago
Learning to predict expression efficacy of vectors in recombinant protein production
Background: Recombinant protein production is a useful biotechnology to produce a large quantity of highly soluble proteins. Currently, the most widely used production system is t...
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Uen...
RECOMB
2009
Springer
14 years 8 months ago
Simultaneous Alignment and Folding of Protein Sequences
Abstract. Accurate comparative analysis tools for low-homology proteins remains a difficult challenge in computational biology, especially sequence alignment and consensus folding ...
Bonnie Berger, Charles W. O'Donnell, Jér&oc...