bioinformatics

简明释义

英[/ˌbaɪoʊɪnˈfɔrmætɪks/]美[/ˌbaɪoʊɪnˈfɔrmætɪks/]

n. 生物信息学；生物资讯

英英释义

单词用法

同义词

反义词

例句

1.The content of this article is about the design and application of the general bioinformatics database.

本文主要的研究内容是通用生物信息学数据库的设计和实现。

2.Bioinformatics is one of most active fields in life science.

生物信息学是生命科学中最活跃的领域之一。

3.The research direction of this dissertation is about the microarray based gene mining in the bioinformatics subject.

本论文的研究方向是生物信息领域的基于基因表达谱的基因挖掘。

4.The generalization of set cover greedy algorithm is used to solve the redundant test set problem arising in bioinformatics.

集合覆盖贪心算法的推广被用来求解生物信息学中出现的冗余测试集问题。

5.He is, on paper, a research affiliate with their Department of Biology, and is involved in the study of bioinformatics and new biological art forms.

表面上他是一麻省理工生物系的研究员参于了生物信息学和新兴生物艺术学的研究。

6.Focus on the bioinformatics analysis of DNA methylation.

主要研究dna甲基化的生物信息学分析。

7.For more advanced education, this LiveCD has a collection of bioinformatics, computational biology, and computational chemistry tools.

Vigyaan面向更高级的教学，这个LiveCD提供了一系列生物信息学、计算生态学和计算化学的工具。

8.At present, it is still an unresolved issue of how to embody subject unity at bioinformatics teaching.

目前，如何在生物信息学教学中体现学科统一性仍然是一个未解决的课题。

9.Bioinformatics searches, by contrast, use a couple algorithms that basically compare the data from one genome to the data from another.

相比之下，生物信息学的搜索系统使用的是一对算法，基本上是将一个基因组中的数据与另一个基因组中的数据进行比对。

10.Researchers are using bioinformatics 生物信息学 tools to decode the human genome.

研究人员正在使用生物信息学工具来解码人类基因组。

11.The field of bioinformatics 生物信息学 combines biology, computer science, and information technology to analyze biological data.

生物信息学领域结合了生物学、计算机科学和信息技术，以分析生物数据。

12.Many universities now offer degrees in bioinformatics 生物信息学 due to its growing importance.

由于生物信息学日益重要，许多大学现在提供生物信息学学位课程。

13.With advancements in bioinformatics 生物信息学, drug discovery processes are becoming faster and more efficient.

随着生物信息学的进步，药物发现过程变得更快、更高效。

14.The integration of bioinformatics 生物信息学 in clinical research is revolutionizing patient care.

生物信息学在临床研究中的整合正在彻底改变患者护理。

作文

In the modern era of science and technology, the field of biology has undergone remarkable transformations, particularly with the advent of computational methods. One of the most significant advancements in this domain is the emergence of bioinformatics, which can be defined as the application of computer science and information technology to the understanding and management of biological data. This interdisciplinary field combines biology, computer science, mathematics, and engineering to analyze and interpret complex biological information. The significance of bioinformatics (生物信息学) cannot be overstated, as it plays a crucial role in various aspects of biological research and healthcare.One of the primary applications of bioinformatics is in genomics, where it aids in the sequencing and analysis of genomes. With the completion of the Human Genome Project, scientists have access to vast amounts of genetic data. Bioinformatics provides the tools necessary to store, retrieve, and analyze this data efficiently. By using algorithms and statistical models, researchers can identify genes, understand their functions, and explore their relationships with diseases. This has led to breakthroughs in personalized medicine, where treatments can be tailored to an individual's genetic makeup.Moreover, bioinformatics is essential in the field of proteomics, which focuses on the study of proteins and their functions. Proteins are the workhorses of the cell, performing a myriad of functions necessary for life. Through bioinformatics, scientists can analyze protein structures, interactions, and functions on a large scale. This information is vital for drug discovery, as it helps researchers identify potential drug targets and design new therapeutic agents.Another important aspect of bioinformatics is its role in systems biology, which aims to understand the complex interactions within biological systems. By integrating data from various sources, such as genomics, proteomics, and metabolomics, bioinformatics allows scientists to create comprehensive models of biological processes. These models can predict how changes in one component of a system may affect others, leading to a deeper understanding of disease mechanisms and potential interventions.Furthermore, bioinformatics has transformed the field of evolutionary biology. By analyzing genetic data from different species, researchers can trace evolutionary relationships and understand the mechanisms of evolution. This has provided insights into biodiversity, conservation efforts, and the impact of environmental changes on species survival.The growing importance of bioinformatics has also led to the development of numerous software tools and databases that facilitate biological research. Publicly available databases, such as GenBank and the Protein Data Bank, serve as valuable resources for researchers worldwide. These platforms allow scientists to share their findings and collaborate on projects, ultimately accelerating the pace of discovery in the life sciences.In conclusion, bioinformatics (生物信息学) is a vital field that bridges the gap between biology and technology. Its applications are vast and varied, impacting areas such as genomics, proteomics, systems biology, and evolutionary studies. As we continue to generate more biological data through advanced experimental techniques, the role of bioinformatics will only become more critical. Future advancements in this field hold the promise of unlocking new discoveries that can improve human health and our understanding of life itself.