Hidden Markov models in computational biology. Applications to protein modeling
about
Using GeneWise in the Drosophila annotation experimentDiscovery of the first insect nidovirus, a missing evolutionary link in the emergence of the largest RNA virus genomesA probabilistic model of local sequence alignment that simplifies statistical significance estimationComparative genomics search for losses of long-established genes on the human lineageExploration of uncharted regions of the protein universeA memory-efficient dynamic programming algorithm for optimal alignment of a sequence to an RNA secondary structurePeroxisomeDB 2.0: an integrative view of the global peroxisomal metabolomeXRate: a fast prototyping, training and annotation tool for phylo-grammarsUsing 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structuresAdvances in Homology Protein Structure ModelingCLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choiceEvolution and horizontal transfer of dUTPase-encoding genes in viruses and their hostsComparative genomics of foot-and-mouth disease virustRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequenceComparative genomics and diversifying selection of the clustered vertebrate protocadherin genesComparative sequence analysis of ribonucleases HII, III, II PH and DThe proofreading domain of Escherichia coli DNA polymerase I and other DNA and/or RNA exonuclease domainsSAGA: sequence alignment by genetic algorithmGeneMark.hmm: new solutions for gene findingProbCons: Probabilistic consistency-based multiple sequence alignmentTemplate-based protein structure modelingA hidden Markov model that finds genes in E. coli DNARNA sequence analysis using covariance modelsIdentification of a human nuclear receptor defines a new signaling pathway for CYP3A inductionRSEARCH: finding homologs of single structured RNA sequencesAccurate and automated classification of protein secondary structure with PsiCSIMutagenesis and functional characterization of the RNA and protein components of the toxIN abortive infection and toxin-antitoxin locus of ErwiniaPentapeptide repeat proteinsLarge-scale protein structure modeling of the Saccharomyces cerevisiae genomeA Z-DNA binding domain present in the human editing enzyme, double-stranded RNA adenosine deaminaseMembers of the immunoglobulin superfamily in bacteriaPANTHER version 6: protein sequence and function evolution data with expanded representation of biological pathwaysExploring genomic dark matter: a critical assessment of the performance of homology search methods on noncoding RNAThe G protein-coupled receptor repertoires of human and mouseEvolutionary models for insertions and deletions in a probabilistic modeling framework.Enhanced protein domain discovery using taxonomyHMM Logos for visualization of protein familiesOXBench: a benchmark for evaluation of protein multiple sequence alignment accuracyPASS2: an automated database of protein alignments organised as structural superfamiliesA Bayesian method for identifying missing enzymes in predicted metabolic pathway databases
P2860
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P2860
Hidden Markov models in computational biology. Applications to protein modeling
description
1994 nî lūn-bûn
@nan
1994 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
1994 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
1994年の論文
@ja
1994年論文
@yue
1994年論文
@zh-hant
1994年論文
@zh-hk
1994年論文
@zh-mo
1994年論文
@zh-tw
1994年论文
@wuu
name
Hidden Markov models in computational biology. Applications to protein modeling
@ast
Hidden Markov models in computational biology. Applications to protein modeling
@en
type
label
Hidden Markov models in computational biology. Applications to protein modeling
@ast
Hidden Markov models in computational biology. Applications to protein modeling
@en
prefLabel
Hidden Markov models in computational biology. Applications to protein modeling
@ast
Hidden Markov models in computational biology. Applications to protein modeling
@en
P2093
P3181
P356
P1476
Hidden Markov models in computational biology. Applications to protein modeling
@en
P2093
P304
P3181
P356
10.1006/JMBI.1994.1104
P407
P50
P577
1994-02-01T00:00:00Z