Research in Computational Molecular Biology 21st Annual International Conference RECOMB 2017 Hong Kong China May 3 7 2017 Proceedings 1st Edition S. Cenk Sahinalp (Eds.)

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Product details:

• ISBN-10 ‏ : ‎ 3319569694
• ISBN-13 ‏ : ‎ 978-3319569697
• Author:  S. Cenk Sahinalp

This book constitutes the proceedings of the 21th Annual Conference on Research in Computational Molecular Biology, RECOMB 2017, held in Hong Kong, China, in May 2017.
The 22 regular papers presented in this volume were carefully reviewed and selected from 184 submissions. 16 short abstracts are included in the back matter of the volume. They report on original research in all areas of computational molecular biology and bioinformatics

Table of contents:

1. Boosting Alignment Accuracy by Adaptive Local Realignment
2. A Concurrent Subtractive Assembly Approach for Identification of Disease Associated Sub-metagenomes
3. A Flow Procedure for the Linearization of Genome Sequence Graphs
4. Dynamic Alignment-Free and Reference-Free Read Compression
5. A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases
6. Determining the Consistency of Resolved Triplets and Fan Triplets
7. Progressive Calibration and Averaging for Tandem Mass Spectrometry Statistical Confidence Estimation: Why Settle for a Single Decoy?
8. Resolving Multicopy Duplications de novo Using Polyploid Phasing
9. A Bayesian Active Learning Experimental Design for Inferring Signaling Networks
10. $$BBK^*$$ (Branch and Bound over $$K^*$$ ): A Provable and Efficient Ensemble-Based Algorithm to Optimize Stability and Binding Affinity over Large Sequence Spaces
11. Superbubbles, Ultrabubbles and Cacti
12. EPR-Dictionaries: A Practical and Fast Data Structure for Constant Time Searches in Unidirectional and Bidirectional FM Indices
13. A Bayesian Framework for Estimating Cell Type Composition from DNA Methylation Without the Need for Methylation Reference
14. Towards Recovering Allele-Specific Cancer Genome Graphs
15. Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability
16. Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees
17. AllSome Sequence Bloom Trees
18. Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model
19. Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies
20. The Copy-Number Tree Mixture Deconvolution Problem and Applications to Multi-sample Bulk Sequencing Tumor Data
21. Quantifying the Impact of Non-coding Variants on Transcription Factor-DNA Binding
22. aBayesQR: A Bayesian Method for Reconstruction of Viral Populations Characterized by Low Divers

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