Biologists regularly search databases of DNA or protein sequences for evolutionary or functional relationships to a given query sequence. We describe a ranking algorithm that exploits the entire network structure of similarity relationships among proteins in a sequence database by performing a diffusion operation on a pre-computed, weighted network. The resulting ranking algorithm, evaluated using a human-curated database of protein structures, is efficient and provides significantly better rankings than a local network search algorithm such as PSI-BLAST
The detection of protein complexes is evidently a cornerstone of understanding various biological pr...
Proteins are one of the most important biopolymers having a wide range of functions in living organi...
Background: Uncovering the hidden organizational characteristics and regularities among biological s...
Biologists regularly search databases of DNA or protein sequences for evolutionary or functional rel...
Motivation: Sequence similarity often suggests evolutionary relation-ships between protein sequences...
Proteins are long sequences of amino acids which can be represented abstractly as words of single le...
Summary: We present a large-scale implementation of the Rankprop protein homology ranking algorithm ...
AbstractA set of proteins is a complex system whose elements are interrelated on the concept of sequ...
Virtually every molecular biologist has searched a protein or DNA sequence database to find sequence...
BACKGROUND:The sequencing of the human genome has enabled us to access a comprehensive list of genes...
Motivation: A global view of the protein space is essential for functional and evolutionary analysis...
Motivation: Identifying protein orthologs is an important task that is receiving growing attention i...
Many of the central questions in bioinformatics relate to protein structure and function. We are mai...
Part 2: AlgorithmsInternational audienceThe biological motivated problem that we want to solve in th...
One of the principal operations in the area of bioinformatics is similarity assessment at the levels...
The detection of protein complexes is evidently a cornerstone of understanding various biological pr...
Proteins are one of the most important biopolymers having a wide range of functions in living organi...
Background: Uncovering the hidden organizational characteristics and regularities among biological s...
Biologists regularly search databases of DNA or protein sequences for evolutionary or functional rel...
Motivation: Sequence similarity often suggests evolutionary relation-ships between protein sequences...
Proteins are long sequences of amino acids which can be represented abstractly as words of single le...
Summary: We present a large-scale implementation of the Rankprop protein homology ranking algorithm ...
AbstractA set of proteins is a complex system whose elements are interrelated on the concept of sequ...
Virtually every molecular biologist has searched a protein or DNA sequence database to find sequence...
BACKGROUND:The sequencing of the human genome has enabled us to access a comprehensive list of genes...
Motivation: A global view of the protein space is essential for functional and evolutionary analysis...
Motivation: Identifying protein orthologs is an important task that is receiving growing attention i...
Many of the central questions in bioinformatics relate to protein structure and function. We are mai...
Part 2: AlgorithmsInternational audienceThe biological motivated problem that we want to solve in th...
One of the principal operations in the area of bioinformatics is similarity assessment at the levels...
The detection of protein complexes is evidently a cornerstone of understanding various biological pr...
Proteins are one of the most important biopolymers having a wide range of functions in living organi...
Background: Uncovering the hidden organizational characteristics and regularities among biological s...
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