ICBRA 2018 received 63 submissions. After two rounds of rigorous peer review procedure, 36 submissions were accepted and 18 papers were included in this proceedings. These submissions were contributed by researchers in different countries, such as, Vietnam, China, South Korea, Malaysia, India, USA, Brazil, Saudi Arabia, etc. All authors contributed a lot to the success of this conference.
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DNA Computing Sequence Design Based on Bacterial Foraging Algorithm
Since the quantity and quality of DNA sequence directly affect the accuracy and efficiency of computation, the design of DNA sequence is critical to DNA computing. In order to improve the reliability of DNA computing, there is a rich literature ...
A Study on Optimizing MarkDuplicate in Genome Sequencing Pipeline
MarkDuplicate is typically one of the most time-consuming operations in the whole genome sequencing pipeline. Picard tool, which is widely used by biologists to sort reads in genome data and mark duplicate reads in sorted genome data, has relatively low ...
The Effect of Machine Learning Algorithms on Metagenomics Gene Prediction
The development of next generation sequencing facilitates the study of metagenomics. Computational gene prediction aims to find the location of genes in a given DNA sequence. Gene prediction in metagenomics is a challenging task because of the short and ...
Investigation on Heat and Mass transfer in a Dialyzer Membrane Model for the Development of Dialysate Temperature Controller
During standard hemodialysis (HD), there is tendency for a rise in body temperature, which can possibly cause life-threatening complications. The analysis of thermal energy exchange in a dialyzer can be significant to provide constant body temperature, ...
Biotable: A Tool to Extract Semantic Structure of Table in Biology Literature
The publication of biological literature increasing year by year. And the important information in biomedical articles may only appear in tables. However, research on information extraction from tables is rare. Nowadays, there are two ways to do table ...
The Optimal Number and Distribution of Channels in Mental Fatigue Classification Based on GA-SVM
Mental fatigue is closely related to our daily life and work, a considerable number of studies have achieved good results in quantifying and predicting them. Although some studies have achieved a high accuracy by using only a single channel, and a few ...
Screening Feasibility and Comparison of Deep Artificial Neural Networks Algorithms for Classification of Skin Lesions
Deep convolutional neural networks (CNNs) have proven its potential for many tasks related to object identification and classification. This study aims to show the performance of several convolutional neural networks architectures applied to the ...
Skin Cancer Detection and Classification for Moles Using K-Nearest Neighbor Algorithm
The skin protects our body from heat and light of the sun and other threats. One of the illnesses that threaten the skin is the skin cancer. Skin cancer may start with an irregular shaped mole with size greater than a pencil eraser. This study focuses ...
Breast Cancer Prediction Using Spark MLlib and ML Packages
Nowadays, Machine Learning has been applied in variety aspects of life especially in health care. Classifications using Machine learning has been greatly improved in order to make predictions and to support doctors making diagnoses. Furthermore, human ...
Proposed Battlefield Simulator Using GPU
Battlefield is an area where you cannot predict the attacking situation from an opposition. The situation may become worse when the enemy tankers may attack from various position and we will not enough get chance to think about our security. If by any ...
Fermentation Level Classification of Cross Cut Cacao Beans Using k-NN Algorithm
In chocolate production, post-harvest procedure is one of the most critical factors. Fermentation is a vital procedure to consider since exact generation of acid contemplate to aroma and quality of the final product. This innovative study aims to ...
Identification of Viable Embryos Using Deep Learning for Medical Image
Identifying viable embryos for implantation is one of the most relevant aspects in assisted reproductive technology. However, embryo selection highly depends on visual examination by embryologists via microscopy, and their evaluations are often ...
Graph Clustering Based Size Varying Rules for Lifelong Topic Modeling
Lifelong learning topic models identify the hidden concepts discussed in the collection of documents. The concepts are represented as topics having groups of ordered words based on their relevance to the topic. Lifelong learning models have an automatic ...
Detection of Central Sleep Apnea Based on a Single-Lead ECG
Central sleep apnea (CSA) is a sleep-related disorder in which breathing is either diminished or absent, typically for 10 to 30 seconds, intermittently or in cycles. CSA is usually due to an instability in the body's feedback mechanisms that control ...
Non-Invasive Physiological Signal Acquisition System for Ward Monitoring
The article describes a non-invasive physiological signal acquisition system based on Ballistocardiography technology, which is applied to the ward monitoring scene to assist medical staff and reduce work consumption. The overall structure of the signal ...
Mental Stress Evaluation of Car Driver in Different Road Complexity Using Heart Rate Variability (HRV) Analysis
Controlling driver stress level is going popular research and put it very important factor to reduce risk of road accident. The aim of the paper is to analysis the impact of road complexity on driver stress level based on physiological factor of Heart ...
Genomic Comparison of Four Metapneumovirus Strains Using Decision Tree, Apriori Algorithm, ClustalW, and Phylogenetic Reconstruction
Human metapneumovirus has persistently been the leading causative agent of acute respiratory infections in young children and the elderly worldwide. The respiratory tract illness caused by HMPV yields fatal levels of morbidity and mortality rate in ...
Microrna-1/206 Target both Monocarboxylate Transporter(MCT)-4 and Vascular Endothelial Growth Factor(VEGF)Genes Leading to Inhibition of Tumor Growth
Colorectal cancer is one of the most common types of cancer in the world, and its incidence is mostly influenced by lifestyle factors. Despite having a much smaller role, genetics also affects the susceptibility and development of colorectal cancer. The ...
Index Terms
- Proceedings of the 5th International Conference on Bioinformatics Research and Applications