In Bioinformatics, we can find a variety of problems which are affected by huge processing times and memory/storage consumption, due to the large size of biological data sets and the inherent complexity of biological problems. In fact, Bioinformatics is one of the most exciting research areas in which Parallelism finds application. Successful examples are mpiBLAST, RAxML-HPC or ClustalW-MPI, among many others. In conclusion, Bioinformatics allows and encourages the application of many different parallelism-based technologies. In this sense, PBio 2018 offered a set of original, high-quality research works, clearly focused on the application of Parallelism to different Bioinformatics problems.
Proceeding Downloads
Analysis of Scheduling Policies in Metaheuristics for Evolutionary Biology
Nowadays, parallel metaheuristics represent one of the preferred choices to address complex optimization problems. However, one of the main problems that arise when using this kind of techniques lies on the potential emergence of load imbalance issues. ...
Multimethod Optimization for Reverse Engineering of Complex Biological Networks
Optimization problems appears in different areas of science and engineering. This paper considers the general problem of reverse engineering in computational biology by means of mixed-integer nonlinear dynamic optimization (MIDO). Although this kind of ...
Parallel Computation of Voxelised Protein Surfaces with OpenMP
Precise representations of protein surfaces are extremely useful when studying protein interactions and properties. Given their simplicity and ability to represent geometrical and physicochemical properties of proteins, voxelised surface representations ...
Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters
Many data mining applications on bioinformatics and bioengineering require solving problems with different profiles from the point of view of their implicit parallelism. In this context, heterogeneous architectures comprised by interconnected nodes with ...
Accelerating a Geometric Approach to Molecular Docking with OpenACC
In a drug discovery process, the Molecular Docking task aims at estimating the three-dimensional pose of a molecule when it interacts with the target protein. This task is usually used to perform a screening on a large library of molecules to find the ...
FPGA-based OpenCL Accelerator for Discovering Temporal Patterns in Gene Expression Data Using Biclustering
Biclustering is a prominent task for the analysis of biological data, including gene expression data from microarray experiments or molecular concentrations from mass spectrometry. Biclustering performs simultaneous clustering on biological entities and ...
Protein Secondary Structure Analysis in the Cloud
Many biological problems, such finding recurring geometrical patterns in the secondary structures of protein pairs, are often solved by using parallel applications running on HPC systems that, thanks to their powerful architecture and high number of ...
Index Terms
- Proceedings of the 6th International Workshop on Parallelism in Bioinformatics
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| PBio 2018 | 9 | 7 | 78% |
| Overall | 9 | 7 | 78% |