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ORCIDPACBB 2019: Avila, Spain
- Florentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José A. Castellanos-Garzón:
Practical Applications of Computational Biology and Bioinformatics, 13th International Conference, PABCC 2019, Avila, Spain, 26-28 June 2019. Advances in Intelligent Systems and Computing 1005, Springer 2020, ISBN 978-3-030-23872-8 - Nazar Zaki, Maryam Al Yammahi, Tetiana Habuza:
ProtRet: A Web Server for Retrieving Proteins in a Functional Complex. 1-7 - Osvaldo Graña-Castro
, Hugo López-Fernández, Florentino Fdez-Riverola, Fátima Al-Shahrour, Daniel Glez-Peña:
Proposal of a New Bioinformatics Pipeline for Metataxonomics in Precision Medicine. 8-15 - Florian Martin, Marja Talikka, Julia Hoeng, Manuel C. Peitsch:
Systems Toxicology Approach to Unravel Early Indicators of Squamous Cell Carcinoma Rate in Rat Nasal Epithelium Induced by Formaldehyde Exposure. 16-24 - Haneen Altartouri, Tobias Glasmachers:
Moment Vector Encoding of Protein Sequences for Supervised Classification. 25-35 - Mee K. Lee, Mohd Saberi Mohamad, Yee Wen Choon, Kauthar Mohd Daud, Nurul Athirah Nasarudin, Mohd Arfian Ismail, Zuwairie Ibrahim, Suhaimi Napis, Richard O. Sinnott:
A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli. 36-44 - Jozef Sitarcík, Mária Lucká:
Cache-Efficient FM-Index Variants for Mapping of DNA Sequences. 45-52 - Antonio J. Tomeu, A. Gámez, Alberto G. Salguero:
A Parallel Implementation for Cellular Potts Model with Software Transactional Memory. 53-60 - Hugo López-Fernández, Pedro Duque, Noé Vázquez, Florentino Fdez-Riverola, Miguel Reboiro-Jato, Cristina P. Vieira, Jorge Vieira:
Inferring Positive Selection in Large Viral Datasets. 61-69 - Upasana Chutia, Jerry W. Sangma, Vipin Pal, Yogita:
Data-Driven Extraction of Quantitative Multi-dimensional Associations of Cardiovascular Drugs and Adverse Drug Reactions. 70-77 - Abdelmenem S. Elgabry, Tahani M. Allam, Mahmoud M. Fahmy:
An Identical String Motif Finding Algorithm Through Dynamic Programming. 78-86 - Martin Nemcek, Tomás Jarábek, Mária Lucká:
Parallel Density-Based Downsampling of Cytometry Data. 87-95 - Beatriz Santos-Buitrago, Emiliano Hernández Galilea:
Signaling Transduction Networks in Choroidal Melanoma: A Symbolic Model Approach. 96-104 - Marta Sampaio, Miguel Rocha, Hugo Oliveira, Oscar Días:
Predicting Promoters in Phage Genomes Using Machine Learning Models. 105-112 - Carlos A. C. Bastos, Vera Afreixo, João M. O. S. Rodrigues, Armando J. Pinho:
Detection and Characterization of Local Inverted Repeats Regularities. 113-120 - Daniel Vieira, Mafalda Almeida, Martin B. Richards, Pedro Soares:
An Efficient and User-Friendly Implementation of the Founder Analysis Methodology. 121-128 - Diogo Pratas, Seyed Morteza Hosseini, Armando J. Pinho:
Visualization of Similar Primer and Adapter Sequences in Assembled Archaeal Genomes. 129-136 - Diogo Pratas, Seyed Morteza Hosseini, Armando J. Pinho:
GeCo2: An Optimized Tool for Lossless Compression and Analysis of DNA Sequences. 137-145 - Jorge Ferreira, Vítor Vieira, Jorge Gomes, Sara Correia, Miguel Rocha:
Troppo - A Python Framework for the Reconstruction of Context-Specific Metabolic Models. 146-153 - Vânia Rodrigues, Sérgio A. D. Deusdado:
Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data. 154-163 - João Correia, Tiago Resende, Delora Baptista, Miguel Rocha:
Artificial Intelligence in Biological Activity Prediction. 164-172 - Fernando Cruz, Diogo Lima, José P. Faria, Miguel Rocha, Oscar Días:
Towards the Reconstruction of Integrated Genome-Scale Models of Metabolism and Gene Expression. 173-181
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