G. Yona

Publications
Influence

On Prediction Using Variable Order Markov Models

Ron Begleiter, Ran El-Yaniv, G. Yona
Mathematics, Computer Science
J. Artif. Intell. Res.
1 July 2004

This paper is concerned with algorithms for prediction of discrete sequences over a finite alphabet, using variable order Markov models. Expand

Variations on probabilistic suffix trees: statistical modeling and prediction of protein families

G. Bejerano, G. Yona
Biology, Computer Science
Bioinform.
2001

MOTIVATION We present a method for modeling protein families by means of probabilistic suffix trees (PSTs). Expand

Within the twilight zone: a sensitive profile-profile comparison tool based on information theory.

G. Yona, M. Levitt
Computer Science, Medicine
Journal of molecular biology
1 February 2002

This paper presents a novel approach to profile-profile comparison. The method compares two input profiles (like those that are generated by PSI-BLAST) and assigns a similarity score to assess their… Expand

ProtoMap: automatic classification of protein sequences and hierarchy of protein families

G. Yona, N. Linial, M. Linial
Biology, Computer Science
Nucleic Acids Res.
2000

The ProtoMap site offers an exhaustive classification of all proteins in the SWISS-PROT database, into groups of related proteins. Expand

Automatic prediction of protein domains from sequence information using a hybrid learning system

N. Nagarajan, G. Yona
Computer Science, Medicine
Bioinform.
12 June 2004

MOTIVATION We describe a novel method for detecting the domain structure of a protein from sequence information alone. Expand

Modeling protein families using probabilistic suffix trees

G. Bejerano, G. Yona
Mathematics, Computer Science
RECOMB
1 April 1999

We present a method for modeling protein families by means of probabilistic suffix trees (PSTs). Expand

BIOZON: a system for unification, management and analysis of heterogeneous biological data

Aaron Birkland, G. Yona
Computer Science, Medicine
BMC Bioinformatics
15 February 2006

We present a system (Biozon) that addresses these problems, and offers biologists a new knowledge resource to navigate through and explore. Expand

QualComp: a new lossy compressor for quality scores based on rate distortion theory

I. Ochoa, Himanshu Asnani, D. Bharadia, M. Chowdhury, T. Weissman, G. Yona
Medicine, Computer Science
BMC Bioinformatics
8 June 2013

We present a new scheme for the lossy compression of the quality scores, to address the problem of storage. Expand

Global self-organization of all known protein sequences reveals inherent biological signatures.

M. Linial, N. Linial, Naftali Tishby, G. Yona
Computer Science, Medicine
Journal of molecular biology
2 May 1997

A global classification of all currently known protein sequences is performed. Expand

BIOZON: a hub of heterogeneous biological data

Aaron Birkland, G. Yona
Biology, Computer Science
Nucleic Acids Res.
28 December 2005

A unified biological database that integrates heterogeneous data types such as proteins, structures, domain families, protein–protein interactions and cellular pathways, and establishes the relationships between them. Expand

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