Displaying publications 41 - 60 of 77 in total

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  1. Fulltext Multistrategy self-organizing map learning for classification problems
    Hasan S, Shamsuddin SM
    Comput Intell Neurosci, 2011;2011:121787.
    PMID: 21876686 DOI: 10.1155/2011/121787
    Multistrategy Learning of Self-Organizing Map (SOM) and Particle Swarm Optimization (PSO) is commonly implemented in clustering domain due to its capabilities in handling complex data characteristics. However, some of these multistrategy learning architectures have weaknesses such as slow convergence time always being trapped in the local minima. This paper proposes multistrategy learning of SOM lattice structure with Particle Swarm Optimisation which is called ESOMPSO for solving various classification problems. The enhancement of SOM lattice structure is implemented by introducing a new hexagon formulation for better mapping quality in data classification and labeling. The weights of the enhanced SOM are optimised using PSO to obtain better output quality. The proposed method has been tested on various standard datasets with substantial comparisons with existing SOM network and various distance measurement. The results show that our proposed method yields a promising result with better average accuracy and quantisation errors compared to the other methods as well as convincing significant test.
    Matched MeSH terms: Information Storage and Retrieval/methods
  2. Evaluation of a content-based retrieval system for blood cell images with automated methods
    Seng WC, Mirisaee SH
    J Med Syst, 2011 Aug;35(4):571-8.
    PMID: 20703533 DOI: 10.1007/s10916-009-9393-3
    Content-based image retrieval techniques have been extensively studied for the past few years. With the growth of digital medical image databases, the demand for content-based analysis and retrieval tools has been increasing remarkably. Blood cell image is a key diagnostic tool for hematologists. An automated system that can retrieved relevant blood cell images correctly and efficiently would save the effort and time of hematologists. The purpose of this work is to develop such a content-based image retrieval system. Global color histogram and wavelet-based methods are used in the prototype. The system allows users to search by providing a query image and select one of four implemented methods. The obtained results demonstrate the proposed extended query refinement has the potential to capture a user's high level query and perception subjectivity by dynamically giving better query combinations. Color-based methods performed better than wavelet-based methods with regard to precision, recall rate and retrieval time. Shape and density of blood cells are suggested as measurements for future improvement. The system developed is useful for undergraduate education.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  3. Fulltext Development of a kidney TeleUltrasound consultation system
    Hassan A, Ibrahim F
    J Digit Imaging, 2011 Apr;24(2):308-13.
    PMID: 20386951 DOI: 10.1007/s10278-010-9283-8
    This paper presents the development of kidney TeleUltrasound consultation system. The TeleUltrasound system provides an innovative design that aids the acquisition, archiving, and dissemination of medical data and information over the internet as its backbone. The system provides data sharing to allow remote collaboration, viewing, consultation, and diagnosis of medical data. The design is layered upon a standard known as Digital Imaging and Communication in Medicine (DICOM). The DICOM standard defines protocols for exchanging medical images and their associated data. The TeleUltrasound system is an integrated solution for retrieving, processing, and archiving images and providing data storage management using Structured Query Language (SQL) database. Creating a web-based interface is an additional advantage to achieve global accessibility of experts that will widely open the opportunity of greater examination and multiple consultations. This system is equipped with a high level of data security and its performance has been tested with white, black, and gray box techniques. And the result was satisfactory. The overall system has been evaluated by several radiologists in Malaysia, United Arab Emirates, and Sudan, the result is shown within this paper.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  4. Cardiovascular diagnostics mining on Borneo island: from labour-intensive to prototype
    Patrick TH, Fong AY, Sebastian Y, Raman V, Wong YH, Sim KH
    Inform Health Soc Care, 2009 Jan;34(1):1-9.
    PMID: 19306194 DOI: 10.1080/17538150902773090
    Mining for medical data poses different challenges compared with mining other types of data. The wide range of imaging modalities of medical data leads to data integration and compatibility issues. The analysis of imaging modalities is further complicated by the different format and attributes used by the different imaging equipment by different vendors. Human factors such as interest of adapting data mining into diagnosis and planning process raised the difficulty of engaging the users into the development of a practical and useful data miner. Requirement engineering technique prototyping further enhanced the engagement of users towards the data-miner. Data from different equipment and different vendors are also merged for efficient data analysis and subsequently charting and reporting. We have also successfully engaged the medical doctors into believing the data miner's capability after they reviewed and walkthrough the prototype.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  5. Automatic multilevel medical image annotation and retrieval
    Mueen A, Zainuddin R, Baba MS
    J Digit Imaging, 2008 Sep;21(3):290-5.
    PMID: 17846834
    Image retrieval at the semantic level mostly depends on image annotation or image classification. Image annotation performance largely depends on three issues: (1) automatic image feature extraction; (2) a semantic image concept modeling; (3) algorithm for semantic image annotation. To address first issue, multilevel features are extracted to construct the feature vector, which represents the contents of the image. To address second issue, domain-dependent concept hierarchy is constructed for interpretation of image semantic concepts. To address third issue, automatic multilevel code generation is proposed for image classification and multilevel image annotation. We make use of the existing image annotation to address second and third issues. Our experiments on a specific domain of X-ray images have given encouraging results.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  6. Evaluation of medical image watermarking with tamper detection and recovery (AW-TDR)
    Zain JM, Fauzi AR
    Annu Int Conf IEEE Eng Med Biol Soc, 2007;2007:5662-5.
    PMID: 18003297
    This paper will study and evaluate watermarking technique by Zain and Fauzi [1]. Recommendations will then be made to enhance the technique especially in the aspect of recovery or reconstruction rate for medical images. A proposal will also be made for a better distribution of watermark to minimize the distortion of the Region of Interest (ROI). The final proposal will enhance AW-TDR in three aspects; firstly the image quality in the ROI will be improved as the maximum change is only 2 bits in every 4 pixels, or embedding rate of 0.5 bits/pixel. Secondly the recovery rate will also be better since the recovery bits are located outside the region of interest. The disadvantage in this is that, only manipulation done in the ROI will be detected. Thirdly the quality of the reconstructed image will be enhanced since the average of 2 x 2 pixels would be used to reconstruct the tampered image.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  7. Guidelines on retention of pathology records and materials, Part I (version 1/2005)
    College of Pathologists, Academy of Medicine of Malaysia, Ministry of Health Malaysia
    Malays J Pathol, 2005 Jun;27(1):51-6.
    PMID: 16676694
    Matched MeSH terms: Information Storage and Retrieval/standards*
  8. Applying data mining in healthcare: an info-structure for delivering 'data-driven' strategic services
    Abidi SS
    Stud Health Technol Inform, 1999;68:453-6.
    PMID: 10724926
    Presently, there is a growing demand from the healthcare community to leverage upon and transform the vast quantities of healthcare data into value-added, 'decision-quality' knowledge, vis-à-vis, strategic knowledge services oriented towards healthcare management and planning. To meet this end, we present a Strategic Knowledge Services Info-structure that leverages on existing healthcare knowledge/data bases to derive decision-quality knowledge-knowledge that is extracted from healthcare data through services akin to knowledge discovery in databases and data mining.
    Matched MeSH terms: Information Storage and Retrieval/statistics & numerical data*
  9. Wavelet-based compression of medical images: filter-bank selection and evaluation
    Saffor A, bin Ramli AR, Ng KH
    Australas Phys Eng Sci Med, 2003 Jun;26(2):39-44.
    PMID: 12956184
    Wavelet-based image coding algorithms (lossy and lossless) use a fixed perfect reconstruction filter-bank built into the algorithm for coding and decoding of images. However, no systematic study has been performed to evaluate the coding performance of wavelet filters on medical images. We evaluated the best types of filters suitable for medical images in providing low bit rate and low computational complexity. In this study a variety of wavelet filters are used to compress and decompress computed tomography (CT) brain and abdomen images. We applied two-dimensional wavelet decomposition, quantization and reconstruction using several families of filter banks to a set of CT images. Discreet Wavelet Transform (DWT), which provides efficient framework of multi-resolution frequency was used. Compression was accomplished by applying threshold values to the wavelet coefficients. The statistical indices such as mean square error (MSE), maximum absolute error (MAE) and peak signal-to-noise ratio (PSNR) were used to quantify the effect of wavelet compression of selected images. The code was written using the wavelet and image processing toolbox of the MATLAB (version 6.1). This results show that no specific wavelet filter performs uniformly better than others except for the case of Daubechies and bi-orthogonal filters which are the best among all. MAE values achieved by these filters were 5 x 10(-14) to 12 x 10(-14) for both CT brain and abdomen images at different decomposition levels. This indicated that using these filters a very small error (approximately 7 x 10(-14)) can be achieved between original and the filtered image. The PSNR values obtained were higher for the brain than the abdomen images. For both the lossy and lossless compression, the 'most appropriate' wavelet filter should be chosen adaptively depending on the statistical properties of the image being coded to achieve higher compression ratio.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  10. Fulltext A study of clinical questions in primary care
    Fozi K, Teng CL, Krishnan R, Shajahan Y
    Med J Malaysia, 2000 Dec;55(4):486-92.
    PMID: 11221162
    This is a prospective study of clinical questions generated in primary care consultations and a comparison of two approaches to answering those clinical questions. Twenty-one doctors in a university-based primary care clinic submitted 78 clinical questions arising from patient consultations during 24 clinic days (0.01 question per patient encounter). These doctors subsequently found answers to 40% of their questions but were satisfied with only 67% of these answers. The investigators were able to provide answers for 95% of the questions asked and the doctors rated these answers as satisfactory in 86% of instances. Answers obtained by investigators had significantly higher satisfaction score than those obtained by doctors' search (p = 0.002). The two main findings of this study are (1) almost all questions arising in clinic setting could be answered by intensive search; (2) answers found by intensive searches were judged to be more satisfactory than those found routinely by doctors. Provision of an information retrieval service in addition to training in the searching and appraisal of medical literature are possible solutions to the information needs of busy clinicians.

    Study site: Primary Care Clinic,
    University Hospital Kuala Lumpur i
    Matched MeSH terms: Information Storage and Retrieval/standards*
  11. Fulltext DAD-match; Security technique to prevent denial of service attack on duplicate address detection process in IPv6 link-local network
    Al-Ani AK, Anbar M, Manickam S, Al-Ani A
    PLoS One, 2019;14(4):e0214518.
    PMID: 30939154 DOI: 10.1371/journal.pone.0214518
    An efficiently unlimited address space is provided by Internet Protocol version 6 (IPv6). It aims to accommodate thousands of hundreds of unique devices on a similar link. This can be achieved through the Duplicate Address Detection (DAD) process. It is considered one of the core IPv6 network's functions. It is implemented to make sure that IP addresses do not conflict with each other on the same link. However, IPv6 design's functions are exposed to security threats like the DAD process, which is vulnerable to Denial of Service (DoS) attack. Such a threat prevents the host from configuring its IP address by responding to each Neighbor Solicitation (NS) through fake Neighbor Advertisement (NA). Various mechanisms have been proposed to secure the IPv6 DAD procedure. The proposed mechanisms, however, suffer from complexity, high processing time, and the consumption of more resources. The experiments-based findings revealed that all the existing mechanisms had failed to secure the IPv6 DAD process. Therefore, DAD-match security technique is proposed in this study to efficiently secure the DAD process consuming less processing time. DAD-match is built based on SHA-3 to hide the exchange tentative IP among hosts throughout the process of DAD in an IPv6 link-local network. The obtained experimental results demonstrated that the DAD-match security technique achieved less processing time compared with the existing mechanisms as it can resist a range of different threats like collision and brute-force attacks. The findings concluded that the DAD-match technique effectively prevents the DoS attack during the DAD process. The DAD-match technique is implemented on a small area IPv6 network; hence, the author future work is to implement and test the DAD-match technique on a large area IPv6 network.
    Matched MeSH terms: Information Storage and Retrieval/methods
  12. Why bother about health? A study on the factors that influence health information seeking behaviour among Malaysian healthcare consumers
    Jaafar NI, Ainin S, Yeong MW
    Int J Med Inform, 2017 08;104:38-44.
    PMID: 28599815 DOI: 10.1016/j.ijmedinf.2017.05.002
    BACKGROUND: The general improvement of socio-economic conditions has resulted in people becoming more educated to make better-informed decisions in health related matters. Individual's perspective on health increases with better understanding of ways to improve lifestyle for better health and living. With the increase in lifestyle related diseases that lead to health problems, there is an increase in the availability of healthcare information. Thus, it is important to identify the factors that influence information seeking behaviour in the area of healthcare and lifestyle. This exploratory study examines the relationship between the factors that affect online health information-seeking behaviour among healthcare product in the capital city of Malaysia.
    METHOD: Survey questionnaire was used to collect empirical data. A survey was conducted among 300 healthcare consumers in three main cities in Malaysia where questionnaires were personally distributed through snowball sampling. A total of 271 questionnaire forms were used in the analysis.
    RESULTS: Health Behaviour of the consumers influences Health Information Seeking Behaviour. And this relationship is strongly affected by Gender whereby the affect is strongly among females compared to males.
    CONCLUSION: The findings indicate that Health Behaviour influences Health Information Seeking Behaviour. Marketers can find out which target segment of population to target when devising information channels for consumers, especially through the Internet. However, message that promotes positive health behaviour to a target audience who already has positive Health Behaviour increase the motivation to Health Information Seeking Behaviour.
    Matched MeSH terms: Information Storage and Retrieval*
  13. Fulltext Getting to know journal bibliographic databases
    Ng KH, Peh WC
    Singapore Med J, 2010 Oct;51(10):757-60; quiz 761.
    PMID: 21103809
    A bibliographic database is an organised digital collection of references to published literature. A bibliographic database may be general in scope or may cover a specific academic discipline. There are many types of medical and general bibliographic databases. They cover biomedical and scientific literature, morbidity and mortality statistics, therapeutic regimens, medical records, images and reviews of evidence-based medicine. Getting to know these databases will help researchers and authors to enhance their writing and publishing endeavours.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  14. Fulltext A preliminary study for developing operator manual for ruminant abattoirs on prevention of foodborne diseases and halal compliance
    Myat Min @ Mohd Omar, Abdulrezak Abdulahi Hashi, Ridhwan Abdul Wahab, Intan Azura Shahdan, Mohd Hishammfariz Mohd Amin, Niza Shamsuddin
    International Journal of Allied Health Sciences, 2018;2(3):528-536.
    MyJurnal
    Foodborne diseases (FBD) can occur along the whole series of food production from the sources and processing until serving for consumers. Among the sources of food, meat is a major concern since it is come from animal origin where the pathogens might transmit to human and/or contaminate microbes from infected meat handlers to consumers at any time. Abattoir operators – managers and workers, and the authorities – Veterinary and Halal officers, play the key role in conversion of live food animals to healthy and edible halal meat and useful animal products fit for human consumption. Abattoir operators, abattoir operating procedures including animal handling and meat process need to abide the standard operating procedures (SOP) as guided by the authority for the safety of meat in meeting the requirements for public health. It is also to be in lines with the halal rules and regulations from the perspective of Islam so that to achieve halal food and products which are beneficial for both physical and spiritual. A number of researches have conducted in the prevalence of FBD but lack of prevention with combination of halal-compliance especially in ruminant abattoir areas. The researcher aims to do preliminary study for developing the required Operator Manual of Ruminant Abattoirs (OMRA) on prevention of FBD and also for halal compliance. This preliminary study will be looking into the process of ruminant abattoir by literature search if its premises, staffs, animal handling and the equipment used are in accordance with the halal compliance and prevention of FBD. From visiting two abattoirs and online data sources, gathering relevant information for ruminant abattoir and halal meat of Malaysia is done. Based on the preliminary findings, the three major accreditations of Malaysia which are MS1500:2009 guidelines of Department of Standards Malaysia, JAKIM (Jabatan Agama Kemajuan Islam Malaysia/ Department of Islamic Development Malaysia) 2008 & 2011 Malaysian halal meat protocols, and DVS (Department of Veterinary Services of Malaysia) code of veterinary practice 2012 respectively. They are compared and analyzed to get the required information for further developing OMRA for the benefits of meat industry, health ministry, global halal market authority and all consumers.
    Matched MeSH terms: Information Storage and Retrieval
  15. Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
    He Q, Shahabi H, Shirzadi A, Li S, Chen W, Wang N, et al.
    Sci Total Environ, 2019 May 01;663:1-15.
    PMID: 30708212 DOI: 10.1016/j.scitotenv.2019.01.329
    Landslides are major hazards for human activities often causing great damage to human lives and infrastructure. Therefore, the main aim of the present study is to evaluate and compare three machine learning algorithms (MLAs) including Naïve Bayes (NB), radial basis function (RBF) Classifier, and RBF Network for landslide susceptibility mapping (LSM) at Longhai area in China. A total of 14 landslide conditioning factors were obtained from various data sources, then the frequency ratio (FR) and support vector machine (SVM) methods were used for the correlation and selection the most important factors for modelling process, respectively. Subsequently, the resulting three models were validated and compared using some statistical metrics including area under the receiver operating characteristics (AUROC) curve, and Friedman and Wilcoxon signed-rank tests The results indicated that the RBF Classifier model had the highest goodness-of-fit and performance based on the training and validation datasets. The results concluded that the RBF Classifier model outperformed and outclassed (AUROC = 0.881), the NB (AUROC = 0.872) and the RBF Network (AUROC = 0.854) models. The obtained results pointed out that the RBF Classifier model is a promising method for spatial prediction of landslide over the world.
    Matched MeSH terms: Information Storage and Retrieval
  16. Fulltext Computational approaches: discovery of GTPase HRas as prospective drug target for 1,3-diazine scaffolds
    Kumar S, Sharma D, Narasimhan B, Ramasamy K, Shah SAA, Lim SM, et al.
    BMC Chem, 2019 Dec;13(1):96.
    PMID: 31355369 DOI: 10.1186/s13065-019-0613-8
    Heterocyclic 1,3-diazine nucleus is a valuable pharmacophore in the field of medicinal chemistry and exhibit a wide spectrum of biological activities. PharmMapper, a robust online tool used for establishing the target proteins based on reverse pharmacophore mapping. PharmMapper study is carried out to explore the pharmacological activity of 1,3-diazine derivatives using reverse docking program. PharmMapper, an open web server was used to recognize for all the feasible target proteins for the developed compounds through reverse pharmacophore mapping. The results were analyzed via molecular docking with maestro v11.5 (Schrodinger 2018-1) using GTPase HRas as possible target. The molecular docking studies displayed the binding behavior of 1,3-diazine within GTP binding pocket. From the docking study compounds s3 and s14 showed better docked score with anticancer potency against cancer cell line (HCT116). Hence, the GTPase HRas may be the possible target of 1,3-diazine derivatives for their anticancer activity where the retrieved information may be quite useful for developing rational drug designing. Furthermore the selected 1,3-diazine compounds were evaluated for their in vitro anticancer activity against murine macrophages cell line. 1,3-Diazine compounds exhibited good selectivity of the compounds towards the human colorectal carcinoma cell line instead of the murine macrophages. The toxicity study of the most active compounds was also performed on non cancerous HEK-293 cell line.
    Matched MeSH terms: Information Storage and Retrieval
  17. Fulltext Confirmatory factor analysis (CFA) of USM Emotional Quotient Inventory (USMEQ-i) among medical degree program applicants in Universiti Sains Malaysia (USM)
    Wan Nor Arifin, Muhamad Saiful Bahri Yusoff, Nyi Nyi Naing
    Education in Medicine Journal, 2012;4(2):26-44.
    MyJurnal
    Introduction: Emotional intelligence (EI) is deemed an important aspect of being good medical doctors. Universiti Sains Malaysia (USM) Emotional Quotient Inventory (USMEQ-i) is an EI inventory in Malay language developed primarily as medical student selection tool in USM. Although it was already validated by exploratory factor analysis (EFA), EFA is considered insufficient evidence of construct validity, thus confirmatory factor analysis (CFA) was conducted. Objectives: To determine measurement model validity and construct validity of USMEQ-i among medical degree program applicants in USM by CFA. Methods: USMEQ-i data file for medical degree program applicants in USM for year 2010/2011 and 2011/2012 academic sessions were obtained from Medical Education Department in USM. A random sample of 512 cases was drawn from the data file. Of the sample, only 453 cases were valid study sample after preliminary data screening and assumption checking. CFA was conducted on the sample using maximum likelihood (ML) estimation with bootstrapping technique due to violation of multivariate normality assumption. USMEQ-i measurement model was proposed as a second-order EI factor with seven first-order factors of EI and a Faking Index (FI) factor, with correlation between second-order EI factor and FI factor. Results: The proposed model could not be fit into the study sample data. EI factors and FI factor had to be analyzed separately due to non-positive definite problem. After modifications to the model, CFA of EI factors were suggestive of two-factor model instead of the proposed seven-factor model. Consciousness, Maturity and Control (CoMaCt). CFA of FI factor maintained one-factor model and also valid in term of construct. Conclusion: The modified USMEQ-i, which consisted of separate EI and FI models, was proven to have valid measurement models and reliable constructs. It is considered to be suitable for use among applicants to medical degree program in USM. However, its use as medical student selection tool may require further research, especially how predictive USMEQ-i scores with real performance of medical students, generalizability of the inventory and its stability over time.
    Matched MeSH terms: Information Storage and Retrieval
  18. The economic burden of schizophrenia in Malaysia
    Teoh SL, Chong HY, Abdul Aziz S, Chemi N, Othman AR, Md Zaki N, et al.
    Neuropsychiatr Dis Treat, 2017;13:1979-1987.
    PMID: 28814869 DOI: 10.2147/NDT.S137140
    INTRODUCTION: Schizophrenia (SCZ) is a highly debilitating disease despite its low prevalence. The economic burden associated with SCZ is substantial and mainly attributed to productivity loss. To improve the understanding of economic burden of SCZ in the low- and middle-income country regions, we aimed to determine the economic burden of SCZ in Malaysia.

    METHODS: A retrospective study was conducted using a prevalence-based approach from a societal perspective in Malaysia with a 1 year period from 2013. We used micro-costing technique with bottom-up method and included direct medical cost, direct non-medical cost, and indirect cost. The main data source was medical chart review which was conducted in Hospital Kuala Lumpur (HKL). The medical charts were identified electronically by matching the unique patient's identification number registered under the National Mental Health Schizophrenia Registry and the list of patients in HKL in 2013. Other data sources were government documents, literatures, and local websites. To ensure robustness of result, probabilistic sensitivity analysis was conducted.

    RESULTS: The total estimated number of treated SCZ cases in Malaysia in 2015 was 15,104 with the total economic burden of USD 100 million (M) which was equivalent to 0.04% of the national gross domestic product. On average, the mean cost per patient was USD 6,594. Of the total economic burden of SCZ, 72% was attributed to indirect cost, costing at USD 72M, followed by direct medical cost (26%), costing at USD 26M, and direct non-medical cost (2%), costing at USD 1.7M.

    CONCLUSION: This study highlights the magnitude of economic burden of SCZ and informs the policy-makers that there is an inadequate support for SCZ patients. More resources should be allocated to improve the condition of SCZ patients and to reduce the economic burden.

    Matched MeSH terms: Information Storage and Retrieval
  19. Fulltext Effectiveness of the use of internet search by third year medical students to establish a clinical diagnosis
    Nalliah S, Chan SL, Ong CL, Suthan TH, Tan KC, She VN, et al.
    Singapore Med J, 2010 Apr;51(4):332-8.
    PMID: 20505913
    Internet search has been the main source for information and data mining in medical research. Its use by medical students has immensely contributed to learning activities. The main aim of the study was to determine the effectiveness of internet use by medical students during their initial years of clinical instruction in order to establish a diagnosis after being provided with the history and physical findings of a clinical problem.
    Matched MeSH terms: Information Storage and Retrieval
  20. A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences
    Othman RM, Deris S, Illias RM
    J Biomed Inform, 2008 Feb;41(1):65-81.
    PMID: 17681495
    A genetic similarity algorithm is introduced in this study to find a group of semantically similar Gene Ontology terms. The genetic similarity algorithm combines semantic similarity measure algorithm with parallel genetic algorithm. The semantic similarity measure algorithm is used to compute the similitude strength between the Gene Ontology terms. Then, the parallel genetic algorithm is employed to perform batch retrieval and to accelerate the search in large search space of the Gene Ontology graph. The genetic similarity algorithm is implemented in the Gene Ontology browser named basic UTMGO to overcome the weaknesses of the existing Gene Ontology browsers which use a conventional approach based on keyword matching. To show the applicability of the basic UTMGO, we extend its structure to develop a Gene Ontology -based protein sequence annotation tool named extended UTMGO. The objective of developing the extended UTMGO is to provide a simple and practical tool that is capable of producing better results and requires a reasonable amount of running time with low computing cost specifically for offline usage. The computational results and comparison with other related tools are presented to show the effectiveness of the proposed algorithm and tools.
    Matched MeSH terms: Information Storage and Retrieval/methods
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