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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-bioinformatics-from-scratch-in-urduhindi/
课程评论：没有评论
## Coursera 课程摘要：从零开始学习生物信息学（乌尔都语/印地语） 这是一门在 Coursera 上提供的课程，旨在**从零开始**教授学员生物信息学知识，学习语言为**乌尔都语/印地语 (Urdu/Hindi)**。 **课程概述：** 生物信息学，尤其是在**遗传学和基因组学**领域，是一门科学的子学科。它利用**计算机技术**来**收集、存储、分析和传播**生物数据和信息，例如 DNA 和氨基酸序列，以及这些序列的注释信息。 科学家和临床医生利用这些组织和索引生物信息的**数据库**，以**增进对健康和疾病的理解**，并在某些情况下，作为**医疗护理的一部分**。 生物信息学在生物研究中的作用，可以类比于**数据分析在信息和互联网时代的作用**。过去，获取信息是主要挑战。而随着 DNA 测序技术的进步，这一门槛已大大降低。 **如今，主要的挑战在于如何理解和解读已收集到的信息。** 由于数据集庞大（无论是网站访问信息还是人类基因组信息），**基于计算机的方法已成为默认的解决方案。** 最终，生物信息学工作的终极目标，特别是涉及人类基因组方面，是**揭示人类健康和复杂生物学方面的实用见解**。 **课程举例：** 课程中提到的生物信息学项目示例包括： * **人类基因组计划 (Human Genome Project)** * **人类微生物组计划 (Human Microbiome Project)** 这两个项目都利用了基因组测序技术，分别确定了人类基因组和相关微生物基因组的碱基对顺序。 **教学语言：** 乌尔都语/印地语 (Urdu/Hindi) **课程目标：** 掌握生物信息学的基本概念和应用，重点关注遗传学和基因组学。 **核心内容：** 生物数据的收集、存储、分析和传播，以及利用计算机技术理解海量生物数据。
Bioinformatics, as related to genetics and genomics, is a scientific subdiscipline that involves using computer technology to collect, store, analyze and disseminate biological data and information, such as DNA and amino acid sequences or annotations about those sequences. Scientists and clinicians use databases that organize and index such biological information to increase our understanding of health and disease and, in certain cases, as part of medical care.Bioinformatics. The role of bioinformatics in biological research can be compared with the role of data analysis in the age of information and the Internet. In earlier days, the primary challenge was getting to the information. Advances in reading DNA sequences have lowered that barrier substantially. Going forward, the challenge is how to understand and interpret the information that has been collected. Because the data sets are large, whether you're talking about information about website visits or the human genome, computer-based methods are the default approach. In the end, bioinformatics work with human genomes seeks to discover practical insights about human health and biology with all its complexity.Examples of bioinformatics include the Human Genome Project and the Human Microbiome Project. Both projects used genome sequencing technologies to determine the order of base pairs in the human genome and associated microbial genomes, respectively.
