A probabilistic measure for alignment-free sequence comparison.
about
A hybrid distance measure for clustering expressed sequence tags originating from the same gene familyMathematical Characterization of Protein Sequences Using Patterns as Chemical Group Combinations of Amino AcidsComparison study on k-word statistical measures for protein: from sequence to 'sequence space'.Comparison of next-generation sequencing samples using compression-based distances and its application to phylogenetic reconstruction.Genome BLAST distance phylogenies inferred from whole plastid and whole mitochondrion genome sequences.Pattern-based phylogenetic distance estimation and tree reconstruction.Sequence analysis by iterated maps, a reviewDV-curve representation of protein sequences and its applicationIntegrating overlapping structures and background information of words significantly improves biological sequence comparison.An investigation into inter- and intragenomic variations of graphic genomic signaturesAn improved alignment-free model for DNA sequence similarity metricPrediction of high-risk types of human papillomaviruses using statistical model of protein "sequence space".Chemical property based sequence characterization of PpcA and its homolog proteins PpcB-E: A mathematical approach.Large local analysis of the unaligned genome and its application.Pattern recognition and probabilistic measures in alignment-free sequence analysis.PCV: An Alignment Free Method for Finding Homologous Nucleotide Sequences and its Application in Phylogenetic Study.Protein sequence analysis based on hydropathy profile of amino acids.Weighted relative entropy for alignment-free sequence comparison based on Markov model.A survey and evaluations of histogram-based statistics in alignment-free sequence comparison.Markov model plus k-word distributions: a synergy that produces novel statistical measures for sequence comparison.Using Markov model to improve word normalization algorithm for biological sequence comparison.A novel method to analyze the similarity of biological sequences.SSAW: A new sequence similarity analysis method based on the stationary discrete wavelet transform.
P2860
Q28484368-E7D14ED9-6E28-496E-BCFE-292580F4E229Q28554828-D3A05372-7BB4-4269-AA19-6C5F75A9DE2DQ30372217-4C8A2AB7-1C87-46BC-81FC-6F64FBF4FCEAQ30580691-D5D58449-A4EA-48C7-9E23-3BDD04999BC0Q33251022-FFC32583-2739-41E8-9EA7-12E0A5160C77Q33448516-3D3EADE1-ADDB-4AEA-801E-E51C3A697D1FQ33595904-C2E3002E-C6B9-4D22-886C-B511CFF1DCEEQ33667144-60E68635-A3F7-4192-8664-BE85D66DA6E2Q34079236-FDE21EFC-C29C-4A47-AD4F-68D8C08F87ADQ34488575-AE3DEDD3-3FD6-4399-87FB-000EAE3A1CCDQ34669185-7AC8C98E-B6A2-4544-BA68-B33B9C28B445Q35564165-2F581C22-4DAD-4BA7-88EA-03890E1CAA1EQ36330194-79F052C3-A951-4CC6-BCA8-CD4FC94A052DQ36520602-018F6B14-9DA8-48BE-9E92-9A8FE59F35FCQ38149685-114A1239-B6F1-4C1D-B149-1F465215B38AQ40042486-96B4CF07-422B-4838-B0E1-8E080B46A4D1Q40928150-BCDB53CA-18E8-4AAB-80BC-C0B2478E0D22Q45355055-5E6B3C23-74DE-4235-9C52-06C75AB7530CQ47302666-8A3615D8-801B-4EEE-9606-3F0901872DF9Q48073476-B85DD014-D502-488E-81FF-AEA7A5B1FA52Q51577365-14347AE0-71D9-4161-8B9B-58D345CE40BFQ51805592-38A74CE8-4C4D-4C16-A322-CB223251812EQ54966592-8BD46402-20AF-45D8-B5BF-C45E464AC715
P2860
A probabilistic measure for alignment-free sequence comparison.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh
2004年學術文章
@zh-hant
name
A probabilistic measure for alignment-free sequence comparison.
@en
A probabilistic measure for alignment-free sequence comparison.
@nl
type
label
A probabilistic measure for alignment-free sequence comparison.
@en
A probabilistic measure for alignment-free sequence comparison.
@nl
prefLabel
A probabilistic measure for alignment-free sequence comparison.
@en
A probabilistic measure for alignment-free sequence comparison.
@nl
P356
P1433
P1476
A probabilistic measure for alignment-free sequence comparison.
@en
P2093
Tuan D Pham
P304
P356
10.1093/BIOINFORMATICS/BTH426
P407
P577
2004-07-22T00:00:00Z