Bioinformatics and Biomedical Engineering

1. High-Throughput Bioinformatic Tools for Medical Genomics

   1. Front Matter

      Pages 371-371

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   2. NearTrans Can Identify Correlated Expression Changes Between Retrotransposons and Surrounding Genes in Human Cancer

      • Rafael Larrosa, Macarena Arroyo, Rocío Bautista, Carmen María López-Rodríguez, M. Gonzalo Claros

      Pages 373-382

   3. An Interactive Strategy to Visualize Common Subgraphs in Protein-Ligand Interaction

      • Alexandre V. Fassio, Charles A. Santana, Fabio R. Cerqueira, Carlos H. da Silveira, João P. R. Romanelli, Raquel C. de Melo-Minardi et al.

      Pages 383-394

   4. Meta-Alignment: Combining Sequence Aligners for Better Results

      • Beat Wolf, Pierre Kuonen, Thomas Dandekar

      Pages 395-404

   5. Exploiting In-memory Systems for Genomic Data Analysis

      • Zeeshan Ali Shah, Mohamed El-Kalioby, Tariq Faquih, Moustafa Shokrof, Shazia Subhani, Yasser Alnakhli et al.

      Pages 405-414

   6. Improving Metagenomic Assemblies Through Data Partitioning: A GC Content Approach

      • Fábio Miranda, Cassio Batista, Artur Silva, Jefferson Morais, Nelson Neto, Rommel Ramos

      Pages 415-425

2. Next Generation Sequencing and Sequence Analysis

   1. Front Matter

      Pages 427-427

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   2. Quality Assessment of High-Throughput DNA Sequencing Data via Range Analysis

      • Ali Fotouhi, Mina Majidi, M. Oğuzhan Külekci

      Pages 429-438

   3. A BLAS-Based Algorithm for Finding Position Weight Matrix Occurrences in DNA Sequences on CPUs and GPUs

      • Jan Fostier

      Pages 439-449

   4. Analyzing the Differences Between Reads and Contigs When Performing a Taxonomic Assignment Comparison in Metagenomics

      • Pablo Rodríguez-Brazzarola, Esteban Pérez-Wohlfeil, Sergio Díaz-del-Pino, Ricardo Holthausen, Oswaldo Trelles

      Pages 450-460

   5. Estimating the Length Distributions of Genomic Micro-satellites from Next Generation Sequencing Data

      • Xuan Feng, Huan Hu, Zhongmeng Zhao, Xuanping Zhang, Jiayin Wang

      Pages 461-472

   6. CIGenotyper: A Machine Learning Approach for Genotyping Complex Indel Calls

      • Tian Zheng, Yang Li, Yu Geng, Zhongmeng Zhao, Xuanping Zhang, Xiao Xiao et al.

      Pages 473-485

   7. Genomic Solutions to Hospital-Acquired Bacterial Infection Identification

      • Max H. Garzon, Duy T. Pham

      Pages 486-497

3. Interpretable Models in Biomedicine and Bioinformatics

   1. Front Matter

      Pages 499-499

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   2. Kernel Conditional Embeddings for Associating Omic Data Types

      • Ferran Reverter, Esteban Vegas, Josep M. Oller

      Pages 501-510

   3. Metastasis of Cutaneous Melanoma: Risk Factors, Detection and Forecasting

      • Iker Malaina, Leire Legarreta, Maria Dolores Boyano, Jesus Gardeazabal, Carlos Bringas, Luis Martinez et al.

      Pages 511-519

   4. Graph Theory Based Classification of Brain Connectivity Network for Autism Spectrum Disorder

      • Ertan Tolan, Zerrin Isik

      Pages 520-530

   5. Detect and Predict Melanoma Utilizing TCBR and Classification of Skin Lesions in a Learning Assistant System

      • Sara Nasiri, Matthias Jung, Julien Helsper, Madjid Fathi

      Pages 531-542

   6. On the Use of Betweenness Centrality for Selection of Plausible Trajectories in Qualitative Biological Regulatory Networks

      • Muhammad Tariq Saeed, Jamil Ahmad, Amjad Ali

      Pages 543-552

4. Back Matter

   Pages 553-556

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This two-volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.
The 88 regular papers presented were carefully reviewed and selected from 273 submissions. The scope of the conference spans the following areas: bioinformatics for healthcare and diseases; bioinformatics tools to integrate omics dataset and address biological question; challenges and advances in measurement and self-parametrization of complex biological systems; computational genomics; computational proteomics; computational systems for modelling biological processes; drug delivery system design aided by mathematical modelling and experiments; generation, management and biological insights from big data; high-throughput bioinformatic tools for medical genomics; next generation sequencing and sequence analysis; interpretable models in biomedicine and bioinformatics; little-big data. Reducing the complexity and facing uncertainty of highly underdetermined phenotype prediction problems; biomedical engineering; biomedical image analysis; biomedical signal analysis; challenges in smart and wearable sensor design for mobile health; and healthcare and diseases.

• computational genomics
• computational proteomics
• health informatics
• systems biology
• health care information systems
• bioinformatics
• life and medical sciences
• biomedical engineering
• medical technologies
• computational biology
• metabolomics / metabonomics
• recognition of genes and regulatory elements
• Artificial intelligence
• image processing
• machine learning
• semantics
• Support Vector Machines
• internet
• computer networks
• world wide web

• University of Granada, Granada, Spain

  Ignacio Rojas, Francisco Ortuño

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