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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-programming-for-biological-problems/
课程评论：没有评论
**课程名称：** 针对生物学问题的Python编程 **课程概述：** 本课程专为生物学家、生物学学生以及相关领域的专业人士设计，旨在弥合生物学与计算机编程之间的鸿沟。随着基因组学、蛋白质组学和生物数据库数据的爆炸式增长，Python编程已成为解决医药和杀虫剂发现等众多生物学问题的强大工具。本课程将引导您掌握Python语言，这是一门语法清晰、易于学习的世界级编程语言，特别适合没有科技背景的专业人士。许多生物学领域的重要工具都使用Python编写，因此它是您入门编程的绝佳选择。 **课程内容涵盖：** * Python安装及主要开发工具（IDE） * 变量、常量与字符串 * 数学运算 * 逻辑、关系与条件运算符 * 循环（for与while） * 函数 * 列表、字典、元组、集合与数组 * 文本文件处理 * 错误与异常处理 * 正则表达式 * 面向对象编程 **课程项目与应用：** 在掌握Python基础概念后，您将通过丰富的练习、挑战和实际项目将所学知识应用于生物学问题。课程将逐步引导您完成以下案例研究： * 根据氨基酸组成预测肽段质量 * 编写生物学测试程序，计算分数并判断答题对错 * 创建与生物世界相关的对象类 * FASTA基因序列分析 * 根据Hardy-Weinberg定理分析基因频率 * 创建用于种群生态学计算的函数 * 从RNA序列中发现模式 * 估算基因距离 * 基础物种识别 * 处理基因频率问题 * 编写解析.pdb格式蛋白质序列文件的脚本 * DNA序列转录为RNA序列 **课程特色：** 课程包含超过80个课时、概念讲解、代码演示和带解析的练习，以及超过30个挑战项目和4个小项目，将每章学习到的概念融入实际生物学应用场景，并提供详尽的步骤分析。
Biologists, biology students, and professionals in related fields generally have little or no contact with computer programming. However, the growing of data in genomic, protein and organism databases can be used to model the solution for some problems, such as the discovery of medicines and insecticides. It leads biologists to benefit from computer programming knowledge, so that they can develop useful applications in molecular biology, ecology, research on diseases, among others.This course was developed with the purpose of introducing biologists, students of biology, biomedicine, ecology, pharmacy and professionals in related areas to programming using Python, which is nowadays one of the most used programming languages. It has a clear syntax and is easy to learn especially if you are a professional who are not familiar with technology. Many tools used in the field of biology were written in Python, which makes it a great option for establishing your first contact with computer programming. You will learn the following topics:Python installation and main tools (IDEs)Variables, constants and stringsMath operationsLogical, relational and conditional operatorsLoops (for and while)FunctionsLists, dictionaries, tuples, sets and arraysManipulation of text filesError and exception handlingRegular expressionsObject orientedAfter learning the basic concepts of Python, you will be able to apply the concepts in exercises, challenges and practical projects related to Biology. Below are some of the case studies that we will implement step by step:Prediction of the mass of a peptide sequence according to its amino acid compositionSchedule a biology test that calculates the grade and whether the user got each question right or wrongCreating classes related to objects in the biological world.fasta gene sequence analysisAnalysis of gene frequencies according to the Hardy-Weinberg TheoremCreating functions for population ecology calculationsDiscover patterns in RNA sequencesEstimation of gene distancesBasic species identificationTroubleshooting gene frequenciesCreating scripts for parsing.pdb-type protein sequence filesTranscription of DNA sequences into RNAThere are more than 80 classes, concepts, code demonstration, and exercises with solutions! More than 30 proposed challenges and 4 small projects applying the concepts learned in each section in a biological context, with step-by-step resolution.
