- JOURNAL OF COMPUTATIONAL BIOLOGY Volume 12, Number 1, 2005
- Large scale analyses of protein To properly evaluate the present study, it is important to place it in the context of other large-scale
- ProtoMap: Automatic classi cation of protein sequences, a hierarchy of protein families, and local maps of the protein space.
- Towards a complete map of the protein space based on a uni ed sequence and structure analysis of all known proteins
- BIOINFORMATICS Vol. 1 no. 1 2004 Pages 1--27
- BIOZON: a system for unification, management and analysis of heterogeneous biological data
- Part II -The graph-based approach 7.1 Preface
- Data clustering After the protein sequences are embedded in Euclidean space, we further analyze the sequence
- JOURNAL OF COMPUTATIONAL BIOLOGY Volume 12, Number 7, 2005
- Comparison of protein sequences During the last three decades a considerable e ort has been made to develop algorithms that com-
- Part I -The Euclidean embedding This chapter focuses on techniques for embedding general metric spaces into low-dimensional Eu-
- ProtoMap: Automatic classi cation of protein sequences, a hierarchy of
- Concluding remarks The study presented in this thesis addresses the problem of identifying high order features and
- 2000 Oxford University Press Nucleic Acids Research, 2000, ProtoMap: automatic classification of protein sequences
- A Uni ed Sequence-Structure Classi cation of Protein Sequences: Combining Sequence and Structure in a Map of the Protein Space.
- Comparison of protein sequences and practical database searching Golan Yona (1) and Steven Brenner (2)
- Methods for Global Organization of the Protein Sequence Space
- Hubs of Knowledge: using the functional link structure in Biozon to mine for biologically significant entities
- BIOINFORMATICS Vol. 00 no. 00
- BIOZON: a hub of heterogeneous biological data Aaron Birkland and Golan Yona*
- The distance-profile representation and its application to de-tection of distantly related protein families
- Methods for Global Organization of the Protein Sequence Space
- Global organization of protein The methods of the previous chapters were applied in order to cluster all protein segments of length
- The graph based approach -representation and algorithms
- Protein family comparison using statistical models and pre dicted structural information
- Journal of Artificial Intelligence Research 22 (2004) 385-421 Submitted 05/04; published 12/04 On Prediction Using Variable Order Markov Models
- BioMed Central Page 1 of 25
- A map of the protein space An automatic hierarchical classification of all protein sequences
- The ProtoMap website The ProtoMap website (http://www.protomap.cs.huji.ac.il) o ers an exhaustive classi cation of
- Bibliography [Agra otis 1997] Agra otis, D. K. (1997). A new method for analyzing protein sequence relation-
- Journal of Machine Learning Research ** (2004) ****--**** Submitted 7/03; Published **/04 Distributional Scaling: An Algorithm for
- Variations on probabilistic sux trees: statistical modeling and prediction of protein families
- A MultiExpert System for the Automatic Detection of Protein Domains from Sequence Information
- Modeling protein families using probabilistic sux trees Gill Bejerano and Golan Yona
- Global Self-organization of All Known Protein Sequences Reveals Inherent Biological Signatures
- EST2Prot: Mapping EST sequences to proteins Paul Shafer1
