Representation of multiple sequence alignments of protein families in terms of position-specific scoring matrices (PSSMs) is commonly used in the detection of remote homologues. A PSSM is generated with respect to one of the sequences involved in the mul-tiple sequence alignment as a reference. We have shown recently that the use of multiple PSSMs corre-sponding to an alignment, with several sequences in the family used as reference, improves the sensitivity of the remote homology detection dramatically. MulPSSM contains PSSMs for a large number of sequence and structural families of protein domains with multiple PSSMs for every family. The approach involves use of a clustering algorithm to identifymost distinct sequences corresponding to a...
Motivation: Profile hiddenMarkov models (pHMMs) are currently the most popular modeling concept for ...
The understanding of protein functions and there-by characterization is essential to modeling comple...
Remote homology detection between protein sequences is a central problem in computational biology. D...
Representation of multiple sequence alignments of protein families in terms of position-specific sco...
MOTIVATION: Position specific scoring matrices (PSSMs) corresponding to aligned sequences of homolog...
ABSTRACT Searches using position specific scoring matrices (PSSMs) have been commonly used in remote...
Searches using position specific scoring matrices (PSSMs) have been commonly used in remote homology...
Remote protein homology detection is a problem of detecting evolutionary relationship between protei...
The need for quick gene categorization tools is growing as more genomes are sequenced. To evaluate a...
We present an algorithm to detect remote homology, which arises through circular permutation and dis...
Background: Protein families could be related to each other at broad levels that group them as super...
We describe a new algorithm for protein classification and the detection of remote homologs. The rat...
International audienceMOTIVATION: Remote homology detection between protein sequences is a central p...
Remote protein homology detection is a problem of detecting evolutionary relationship between protei...
We describe a new algorithm for protein classification and the detection of remote homologs. The rat...
Motivation: Profile hiddenMarkov models (pHMMs) are currently the most popular modeling concept for ...
The understanding of protein functions and there-by characterization is essential to modeling comple...
Remote homology detection between protein sequences is a central problem in computational biology. D...
Representation of multiple sequence alignments of protein families in terms of position-specific sco...
MOTIVATION: Position specific scoring matrices (PSSMs) corresponding to aligned sequences of homolog...
ABSTRACT Searches using position specific scoring matrices (PSSMs) have been commonly used in remote...
Searches using position specific scoring matrices (PSSMs) have been commonly used in remote homology...
Remote protein homology detection is a problem of detecting evolutionary relationship between protei...
The need for quick gene categorization tools is growing as more genomes are sequenced. To evaluate a...
We present an algorithm to detect remote homology, which arises through circular permutation and dis...
Background: Protein families could be related to each other at broad levels that group them as super...
We describe a new algorithm for protein classification and the detection of remote homologs. The rat...
International audienceMOTIVATION: Remote homology detection between protein sequences is a central p...
Remote protein homology detection is a problem of detecting evolutionary relationship between protei...
We describe a new algorithm for protein classification and the detection of remote homologs. The rat...
Motivation: Profile hiddenMarkov models (pHMMs) are currently the most popular modeling concept for ...
The understanding of protein functions and there-by characterization is essential to modeling comple...
Remote homology detection between protein sequences is a central problem in computational biology. D...