본 바이오데이터들이 홍수처럼 쏟아지면서 컴퓨터를 활용해 해결해야 할 많은 문제들이 야기되고 있다. 생체분자들과 연관된 정보들을 대량으로 분석하는 전산기술 응용분야인 생명정보학은 학제간 학문분야로서 현재 확고히 자리매김하고 있으며. 구조생물학, 유전체학, 단백질체학, 시스템 생물학, 생물통계학 및 전산학 등 광범위한 학문영역을 포괄한다. 본 총설에서는 생명정보학에 대한 최근 상황과 전반적인 응용분야에 대해 소개하고자 한다. 일반적으로 널리 사용되는 생명정보 및 바이오데이터베이스들의 유형을 살펴보고, 전산학 분야와 긴밀한 관계가 있는 몇가지 생명정보학 응용 분야들을 다루고자 한다.
본 바이오데이터들이 홍수처럼 쏟아지면서 컴퓨터를 활용해 해결해야 할 많은 문제들이 야기되고 있다. 생체분자들과 연관된 정보들을 대량으로 분석하는 전산기술 응용분야인 생명정보학은 학제간 학문분야로서 현재 확고히 자리매김하고 있으며. 구조생물학, 유전체학, 단백질체학, 시스템 생물학, 생물통계학 및 전산학 등 광범위한 학문영역을 포괄한다. 본 총설에서는 생명정보학에 대한 최근 상황과 전반적인 응용분야에 대해 소개하고자 한다. 일반적으로 널리 사용되는 생명정보 및 바이오데이터베이스들의 유형을 살펴보고, 전산학 분야와 긴밀한 관계가 있는 몇가지 생명정보학 응용 분야들을 다루고자 한다.
A flood of biological data has caused many challenges in computing. Bioinformatics, the application of computational techniques to analyze the information associated with biomolecules on a large-scale, has now firmly established itself as an interdisciplinary subject in molecular biology, and encomp...
A flood of biological data has caused many challenges in computing. Bioinformatics, the application of computational techniques to analyze the information associated with biomolecules on a large-scale, has now firmly established itself as an interdisciplinary subject in molecular biology, and encompasses a wide range of subject areas from structural biology, genomics, proteomics, systems biology, biostatistics to computer science. In this review, I provide an introduction and overview of the current state of bioinformatics. Looking at the types of biological information and databases that are commonly used, I also deals with some of bioinformatics application domains which are closely related to areas of computer science.
A flood of biological data has caused many challenges in computing. Bioinformatics, the application of computational techniques to analyze the information associated with biomolecules on a large-scale, has now firmly established itself as an interdisciplinary subject in molecular biology, and encompasses a wide range of subject areas from structural biology, genomics, proteomics, systems biology, biostatistics to computer science. In this review, I provide an introduction and overview of the current state of bioinformatics. Looking at the types of biological information and databases that are commonly used, I also deals with some of bioinformatics application domains which are closely related to areas of computer science.
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제안 방법
In practice, a solution by molecular modeling seems elusive, primarily because of the overwhelming computational cost and inaccuracies introduced by the experimental processes needed to determine the parameters needed for the computation. As a result, current research in this field has focused on statistical and empirical methods which exploit the existing repository of protein structure data.
이론/모형
Finding conserved parts of proteins also provides hints about a possible function of proteins. Methods for multiple alignments are based on dynamic programming techniques developed for pairwise alignment.
참고문헌 (26)
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