LEADER 07459nam 22007335 450 001 996465972803316 005 20200702230719.0 010 $a3-319-38782-0 024 7 $a10.1007/978-3-319-38782-6 035 $a(CKB)3710000000711665 035 $a(DE-He213)978-3-319-38782-6 035 $a(MiAaPQ)EBC6300988 035 $a(MiAaPQ)EBC5587319 035 $a(Au-PeEL)EBL5587319 035 $a(OCoLC)951214417 035 $a(PPN)194076938 035 $a(EXLCZ)993710000000711665 100 $a20160526d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBioinformatics Research and Applications$b[electronic resource] $e12th International Symposium, ISBRA 2016, Minsk, Belarus, June 5-8, 2016, Proceedings /$fedited by Anu Bourgeois, Pavel Skums, Xiang Wan, Alex Zelikovsky 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XV, 348 p. 82 illus.) 225 1 $aLecture Notes in Bioinformatics ;$v9683 311 $a3-319-38781-2 327 $aNext generation sequencing data analysis -- An Efficient Algorithm for finding all pairs k-mismatch maximal common substrings -- Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads -- FSG: Fast String Grap Construction for De Novo Assembly of reads data 25 -- OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads -- High performance sensing of DNA hybridization on surface of self-organized MWCNT-arrays decorated by organometallic complexes -- Towards a more accurate error model for BioNano optical maps -- HapIso : An Accurate Method for the Haplotype-Specific Isoforms Reconstruction from Long Single-Molecule Reads -- Protein-protein interactions and networks -- Genome-Wide Structural Modeling of Protein-Protein Interactions -- Identifying essential proteins by purifying protein interaction networks -- Differential functional analysis and change motifs in gene networks to explore the role of anti-sense transcription -- Predicting MicroRNA-disease associations by random walking on multiple networks -- Progression Reconstruction from Unsynchronized Biological Data using Cluster Spanning Trees -- Protein and RNA structure -- Consistent visualization of multiple rigid domain decompositions of Proteins -- A Multiagent Ab Initio Protein Structure Prediction Tool for Novices and Experts -- Filling a protein scaffold with a reference -- Phylogenetics -- Mean values of gene duplication and loss cost functions -- The SCJ small parsimony problem for weighted gene adjacencies -- Path-Difference Median Trees -- NEMo: An Evolutionary Model with Modularity for PPI Networks -- Multi-Genome Scaffold Co-Assembly Based on the Analysis of Gene Orders and Genomic Repeats -- Sequence and image analysis -- Selectoscope: a modern web-app for positive selection analysis of genomic data -- Methods for Genome-wide Analysis of MDR and XDR Tuberculosis from Belarus -- Haplotype Inference for Pedigrees with Few Recombinations -- Improved detection of 2D gel electrophoresis spots by using Gaussian mixture model -- Abridged Track 2 abstracts -- Predicting Combinative Drug Pairs via Integrating Heterogeneous Features for both Known and New Drugs -- SkipCPP-Pred: Promising Prediction Method for Cell-Penetrating Peptides Using Adaptive k-skip-n-gram Features on a High-quality Dataset -- CPredictor2.0: Effectively Detecting Both Small and Large Complexes from Protein-Protein Interaction Networks -- Structural Insights into Antiapoptotic Activation of Bcl-2 and Bcl-xL -- Mediated by FKBP38 and tBid -- VAliBS: a visual aligner for bisulfite sequences -- MegaGTA: a sensitive and accurate metagenomic Gene-Targeted Assembler using iterative de Bruijn graphs -- EnhancerDBN: An Enhancer Prediction Method Based on Deep Belief Network -- An improved burden-test pipeline for cancer sequencing data -- Modeling and Simulation of Specific Production of Trans10, cis12-Conjugated Linoleic Acid in the Biosynthetic Pathway -- Dynamic protein complex identification in uncertain protein-protein interaction networks -- Predicting lncRNA-Protein Interactions Based on Protein-Protein Similarity Network Fusion -- DCJ-RNA: Double Cut and Join for RNA Secondary Structures Using a Component-Based Representation -- Improve Short Read Homology Search using Paired-End Read Information -- Framework for integration of genome and exome data for more accurate identification of somatic variants -- Semantic Biclustering: a New Way to Analyze and Interpret Gene Expression Data -- Epistasis Analysis of microRNAs in Colon Cancer Using Empirical Bayesian Elastic Nets -- Tractable Kinetics of RNA-Ligand Interaction -- MitoDel: A Method to Detect and Quantify Mitochondrial DNA Deletions from Next-Generation Sequence Data -- TRANScendence: transposable elements database and de-novo mining tool allows inferring TEs activity chronology -- Phylogeny Reconstruction from Whole-Genome Data using Variable Length Binary Encoding. 330 $aThis book constitutes the proceedings of the 12th International Symposium on Bioinformatics Research and Applications, ISBRA 2016, held in Minsk, Belarus, in June 2016. The 25 papers presented in this volume were carefully reviewed and selected from 77 submissions. They were organized in topical sections named: next generation sequencing data analysis; protein-protein interactions and networks; protein and RNA structure; phylogenetics; sequence analysis; and statistical methods. 410 0$aLecture Notes in Bioinformatics ;$v9683 606 $aBioinformatics 606 $aData mining 606 $aPattern recognition 606 $aBiomathematics 606 $aArtificial intelligence 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aBioinformatics. 615 0$aData mining. 615 0$aPattern recognition. 615 0$aBiomathematics. 615 0$aArtificial intelligence. 615 14$aComputational Biology/Bioinformatics. 615 24$aData Mining and Knowledge Discovery. 615 24$aPattern Recognition. 615 24$aMathematical and Computational Biology. 615 24$aArtificial Intelligence. 676 $a572.80285 702 $aBourgeois$b Anu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSkums$b Pavel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWan$b Xiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZelikovsky$b Alex$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465972803316 996 $aBioinformatics Research and Applications$9772362 997 $aUNISA