• Genomics & Informatics
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• 제11권4호
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• pp.174-179
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• 2013

The large amount of data on cancer genome research has contributed to our understanding of cancer biology. Indeed, the genomics approach has a strong advantage for analyzing multi-factorial and complicated problems, such as cancer. It is time to think about the actual usage of cancer genomics in the clinical field. The clinical cancer field has lots of unmet needs in the management of cancer patients, which has been defined in the pre-genomic era. Unmet clinical needs are not well known to bioinformaticians and even non-clinician cancer scientists. A personalized approach in the clinical field will bring potential additional challenges to cancer genomics, because most data to now have been population-based rather than individualbased. We can maximize the use of cancer genomics in the clinical field if cancer scientists, bioinformaticians, and clinicians think and work together in solving unmet clinical needs. In this review, we present one imaginary case of a cancer patient, with which we can think about unmet clinical needs to solve with cancer genomics in the diagnosis, prediction of prognosis, monitoring the status of cancer, and personalized treatment decision.

• 생명과학회지
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• 제18권3호
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• pp.318-322
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• 2008

단백질 상호작용 관련 데이터들이 기하급수적으로 증가하고 있는데 그러한 데이터들을 수동으로 갱신하고 관리하는 작업은 엄청나게 많은 시간과 노력을 요구한다. 뿐만 아니라 개발자가 아닌 비전문가인 생물학자들이 시스템 구성 데이터베이스들을 갱신하고 관리하며 분석 시스템을 운영한다는 것은 현실적으로 거의 불가능하다. 이러한 측면에서 단백질 상호작용 정보를 이용한 효율적인 단백질 기능분석 시스템인 WASPIFA에 대해 자동적으로 데이터를 갱신하고 관리할 수 있는 시스템을 설계하고 개발하였다. WASPIFA 시스템은 단백질의 상호작용 관련 데이터들을 통합하여 사용자가 편리하게 데이터를 검색할 수 있으며 단백질 상호작용에 관련된 정보 즉, 기능 및 주석 정보, 도메인 정보, 도메인 간의 상호 작용 정보 등을 제공해 주는 유용한 단백질 기능분석 시스템이다.

• IMMUNE NETWORK
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• 제14권2호
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• pp.73-80
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• 2014

Because autoimmune diseases (AIDs) result from a complex combination of genetic and epigenetic factors, as well as an altered immune response to endogenous or exogenous antigens, systems biology approaches have been widely applied. The use of multi-omics approaches, including blood transcriptomics, genomics, epigenetics, proteomics, and metabolomics, not only allow for the discovery of a number of biomarkers but also will provide new directions for further translational AIDs applications. Systems biology approaches rely on high-throughput techniques with data analysis platforms that leverage the assessment of genes, proteins, metabolites, and network analysis of complex biologic or pathways implicated in specific AID conditions. To facilitate the discovery of validated and qualified biomarkers, better-coordinated multi-omics approaches and standardized translational research, in combination with the skills of biologists, clinicians, engineers, and bioinformaticians, are required.

• Genomics & Informatics
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• 제12권4호
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• pp.145-150
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• 2014

Recent technical advances, such as chromatin immunoprecipitation combined with DNA microarrays (ChIp-chip) and chromatin immunoprecipitation-sequencing (ChIP-seq), have generated large quantities of high-throughput data. Considering that epigenomic datasets are arranged over chromosomes, their analysis must account for spatial or temporal characteristics. In that sense, simple clustering or classification methodologies are inadequate for the analysis of multi-track ChIP-chip or ChIP-seq data. Approaches that are based on hidden Markov models (HMMs) can integrate dependencies between directly adjacent measurements in the genome. Here, we review three HMM-based studies that have contributed to epigenetic research, from a computational perspective. We also give a brief tutorial on HMM modelling-targeted at bioinformaticians who are new to the field.

• 한국정보과학회논문지:데이타베이스
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• 제32권2호
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• pp.120-128
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• 2005

최근 주요 생물정보학 데이타베이스 중 DDBJ, ENSEMBL, KEGG, 등의 데이타베이스는 연구자들의 편의를 위해 데이타와 분석용 도구들을 웹 서비스를 이용하여 제공한다. 이와 같이 웹 서비스를 이용하여 서비스를 제공하기 위해서는 SOAP 서버 객체와 메소드 정의가 매우 중요하다. 이 연구에서는 BIND, MINT, DIP과 같은 유전자 상호작용 데이타베이스를 위해서 필요한 SOAP 서버 객체에 대한 요구사항을 도출한다. 이어서 이 요구사항을 만족하는 SOAP 서버 객체와 메소드를 정의하였다. 이를 기반으로 프로토타입을 설계하고 구현한 것에 대하여 기술한다.