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Journal Abstract Search
353 related items for PubMed ID: 16809393
21. Incremental window-based protein sequence alignment algorithms. Rangwala H, Karypis G. Bioinformatics; 2007 Jan 15; 23(2):e17-23. PubMed ID: 17237087 [Abstract] [Full Text] [Related]
22. A min-cut algorithm for the consistency problem in multiple sequence alignment. Corel E, Pitschi F, Morgenstern B. Bioinformatics; 2010 Apr 15; 26(8):1015-21. PubMed ID: 20189940 [Abstract] [Full Text] [Related]
23. Semi-supervised protein classification using cluster kernels. Weston J, Leslie C, Ie E, Zhou D, Elisseeff A, Noble WS. Bioinformatics; 2005 Aug 01; 21(15):3241-7. PubMed ID: 15905279 [Abstract] [Full Text] [Related]
24. T-Coffee: A novel method for fast and accurate multiple sequence alignment. Notredame C, Higgins DG, Heringa J. J Mol Biol; 2000 Sep 08; 302(1):205-17. PubMed ID: 10964570 [Abstract] [Full Text] [Related]
25. Support vector machines with profile-based kernels for remote protein homology detection. Busuttil S, Abela J, Pace GJ. Genome Inform; 2004 Sep 08; 15(2):191-200. PubMed ID: 15706505 [Abstract] [Full Text] [Related]
26. An efficient, versatile and scalable pattern growth approach to mine frequent patterns in unaligned protein sequences. Ye K, Kosters WA, Ijzerman AP. Bioinformatics; 2007 Mar 15; 23(6):687-93. PubMed ID: 17237070 [Abstract] [Full Text] [Related]
28. Optimizing the size of the sequence profiles to increase the accuracy of protein sequence alignments generated by profile-profile algorithms. Poleksic A, Fienup M. Bioinformatics; 2008 May 01; 24(9):1145-53. PubMed ID: 18337259 [Abstract] [Full Text] [Related]
29. Extracting multiple structural alignments from pairwise alignments: a comparison of a rigorous and a heuristic approach. Sandelin E. Bioinformatics; 2005 Apr 01; 21(7):1002-9. PubMed ID: 15531607 [Abstract] [Full Text] [Related]
30. FORTE: a profile-profile comparison tool for protein fold recognition. Tomii K, Akiyama Y. Bioinformatics; 2004 Mar 01; 20(4):594-5. PubMed ID: 14764565 [Abstract] [Full Text] [Related]
31. Modeling protein loops with knowledge-based prediction of sequence-structure alignment. Peng HP, Yang AS. Bioinformatics; 2007 Nov 01; 23(21):2836-42. PubMed ID: 17827204 [Abstract] [Full Text] [Related]
32. Algorithms for optimal protein structure alignment. Poleksic A. Bioinformatics; 2009 Nov 01; 25(21):2751-6. PubMed ID: 19734152 [Abstract] [Full Text] [Related]
33. Detecting protein dissimilarities in multiple alignments using Bayesian variable selection. Kim S, Tsai J, Kagiampakis I, LiWang P, Vannucci M. Bioinformatics; 2007 Jan 15; 23(2):245-6. PubMed ID: 17105719 [Abstract] [Full Text] [Related]
34. MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities. Liu Y, Schmidt B, Maskell DL. Bioinformatics; 2010 Aug 15; 26(16):1958-64. PubMed ID: 20576627 [Abstract] [Full Text] [Related]
35. SSMap: a new UniProt-PDB mapping resource for the curation of structural-related information in the UniProt/Swiss-Prot Knowledgebase. David FP, Yip YL. BMC Bioinformatics; 2008 Sep 23; 9():391. PubMed ID: 18811932 [Abstract] [Full Text] [Related]
36. Bayesian search of functionally divergent protein subgroups and their function specific residues. Marttinen P, Corander J, Törönen P, Holm L. Bioinformatics; 2006 Oct 15; 22(20):2466-74. PubMed ID: 16870932 [Abstract] [Full Text] [Related]
37. Multiple protein sequence alignment from tertiary structure comparison: assignment of global and residue confidence levels. Russell RB, Barton GJ. Proteins; 1992 Oct 15; 14(2):309-23. PubMed ID: 1409577 [Abstract] [Full Text] [Related]
38. Murlet: a practical multiple alignment tool for structural RNA sequences. Kiryu H, Tabei Y, Kin T, Asai K. Bioinformatics; 2007 Jul 01; 23(13):1588-98. PubMed ID: 17459961 [Abstract] [Full Text] [Related]
39. Multiple mapping method: a novel approach to the sequence-to-structure alignment problem in comparative protein structure modeling. Rai BK, Fiser A. Proteins; 2006 May 15; 63(3):644-61. PubMed ID: 16437570 [Abstract] [Full Text] [Related]
40. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure. Song J, Yuan Z, Tan H, Huber T, Burrage K. Bioinformatics; 2007 Dec 01; 23(23):3147-54. PubMed ID: 17942444 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]