By Yelena Frid, Dan Gusfield (auth.), Vincent Moulton, Mona Singh (eds.)
This ebook constitutes the refereed lawsuits of the tenth foreign Workshop on Algorithms in Bioinformatics, WABI 2010, held in Liverpool, united kingdom, in September 2010. The 30 revised complete papers provided have been conscientiously reviewed and chosen from eighty three submissions. The papers are geared up in topical sections on biomolecular constitution: RNA, protein and molecular comparability; comparative genomics; haplotype and genotype research; high-throughput information research: subsequent iteration sequencing and movement cytometry; networks; phylogenetics; and sequences, strings and motifs.
Read Online or Download Algorithms in Bioinformatics: 10th International Workshop, WABI 2010, Liverpool, UK, September 6-8, 2010. Proceedings PDF
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Extra info for Algorithms in Bioinformatics: 10th International Workshop, WABI 2010, Liverpool, UK, September 6-8, 2010. Proceedings
This not only allows the use of data structures based on the triangle inequality, but it also enables the use of data structures tailored for Euclidean space, such as the kd-tree , even for binary valued vectors. Previous studies have focused on decreasing the query time of Tanimoto queries into databases of ﬁngerprint vectors [15,1,8]. This article focusses on speeding up Tanimoto queries into databases of real valued descriptors. These descriptors are able to contain more ﬁne grained information such as molecular weight.
Singh, and B. 2 0 1 2 3 4 5 Residue 6 7 8 (c) Fig. 4. Comparative analysis. A) Pflex is sensitive to the parameter σ, producing false-positives at low values and false-negatives at higher values (inset). B) Average Bfactors correctly identify the regions of variability, but cannot distinguish between true variability and variability due to noise. C) Choosing a RMSD cutoﬀ for classiﬁcation is diﬃcult with noisy coordinates. The line types are the ones used in Figure 3. Rf ree are competitive with other approaches that construct multiple-conformer representations [24,5,6].
Speeding up chemical database searches using a proximity ﬁlter based on the logical exclusive OR. Journal of Chemical Information and Modeling 48(7), 1367–1378 (2008) 2. : Multidimensional binary search trees used for associative searching. Commun. ACM 18(9), 509–517 (1975) 3. : Near neighbor search in large metric spaces. The VLDB Journal, 574–584 (1995) 4. : M-tree: An eﬃcient access method for similarity search in metric spaces. A. ) VLDB 1997, Proceedings of 23rd International Conference on Very Large Data Bases, Athens, Greece, August 25-29, pp.