Bioinformatics 笔记

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生物信息学Bioinformatics学习笔记（一）
cling5899的博客
03-21 8521
文章目录生物信息学第一章 绪论History（根据19年的一份综述）生物信息学的研究内容生物信息学的应用领域第二章 模式生物和生物信息学数据库资源第一节 模式生物测序第二节 三大核酸数据库第三节 蛋白质数据库第三章 生物信息学数据库查询第一节 生物信息数据库的储存第二节 GenBank中序列的获取第三节 数据库文献的检索第四章 序列分析第一节 序列比对的内容Sequence Alignment第二节 BLAST应用示例第五章 进化与系统发生分析第一节 生物进化的分子基础第二节 基本概念第三节 系统发生树的构
读书笔记---Bioinformatics Data Skills
cfc424的博客
12-23 1115
读书笔记---Bioinformatics Data Skills
bioinformatics
10-10
bioinformatics，经典教材 值得一看
Bioinformatics Data Skills by Oreilly——学习生信的入门好书
weixin_42953727的博客
08-21 3457
翻阅《生信宝典》公众号，偶然看到推荐的两本生信入门好书，分享给大家： 《Bioinformatics Data Skills - - Reproducible.and.Robust.Research.with.Open.Source.Tools》链接:》链接: 接: https://pan.baidu.com/s/1c2g0MPU 密码: 密码: v2c9 《Bioinformatics wi...
Bioinformatics Algorithms: an Active Learning Approach, Vol. 1 (2nd edition)
01-08
BIOINFORMATICS ALGORITHMS,VOL.I By 作者: Phillip Compeau – Pavel Pevzner ISBN-10 书号: 0990374610 ISBN-13 书号: 9780990374619 Edition 版本: 2nd 出版日期: 2015 pages 页数: 384 Overview Contents List of Code Challenges About the Textbook Chapter 1:Where in the Genome Does DNA Replication Begin? Chapter 2:Which DNA Patterns Play the Role of Molecular Clocks? Chapter 3:How Do We Assemble Genomes? Chapter 4:How Do We Sequence Antibiotics? Chapter 5:How Do We Compare DNA Sequences? Chapter 6:Are There Fragile Regions in the Human Genome? Bibliography mage Courtesies This is Vol. 1 of Bioinformatics Algorithms: an Active Learning Approach, one of the first textbooks to emerge from the recent Massive Open Online Course MOOC revolution. A light hearted and analogy filled companion to the author’s acclaimed Bioinformatics Specialization on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a biological question, such as Are There Fragile Regions in the Human Genome or Which DNA Patterns Play the Role of Molecular Clocks and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track.
Bioinformatics.Data.Skills.Reproducible.and.Robust.Research.pdf
08-21
This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning scripting languages like Python and R alongside the Unix command line. But there's a huge gap between knowing a few programming languages and being prepared to analyze large amounts of biological data. Rather than teach bioinformatics as a set of workflows that are likely to change with this rapidly evolving field, this book demsonstrates the practice of bioinformatics through data skills. Rigorous assessment of data quality and of the effectiveness of tools is the foundation of reproducible and robust bioinformatics analysis. Through open source and freely available tools, you'll learn not only how to do bioinformatics, but how to approach problems as a bioinformatician. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Focus on high-throughput (or "next generation") sequencing data Learn data analysis with modern methods, versus covering older theoretical concepts Understand how to choose and implement the best tool for the job Delve into methods that lead to easier, more reproducible, and robust bioinformatics analysis Table of Contents Part I. Ideology: Data Skills for Robust and Reproducible Bioinformatics Chapter 1. How to Learn Bioinformatics Part II. Prerequisites: Essential Skills for Getting Started with a Bioinformatics Project Chapter 2. Setting Up and Managing a Bioinformatics Project Chapter 3. Remedial Unix Shell Chapter 4. Working with Remote Machines Chapter 5. Git for Scientists Chapter 6. Bioinformatics Data Part III. Practice: Bioinformatics Data Skills Chapter 7. Unix Data Tools Chapter 8. A Rapid Introduction to the R Language Chapter 9. Working with Range Data Chapter 10. Working with Sequence Data Chapter 11. Working with Alignment Data Chapter 12. Bioinformatics Shell Scripting, Writing Pipelines, and Parallelizing Tasks Chapter 13. Out-of-Memory Approaches: Tabix and SQLite Chapter 14. Conclusion
Bioinformatics Data Skills Reproducible and Robust Research with Open mobi
09-28
Bioinformatics Data Skills Reproducible and Robust Research with Open Source Tools 英文mobi 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除
论文阅读笔记(十一)——BioInformatics Agent (BIA)
saltfish920的博客
05-30 1676
生物信息学在理解生物现象中起着至关重要的作用，但生物数据的指数级增长和技术的快速进步加大了深入探索这一领域的障碍。因此，我们提出了生物信息代理（BIA），这是一种利用大语言模型（LLM）技术的智能代理，通过自然语言促进自主的生物信息学分析。BIA的主要功能包括提取和处理原始数据和元数据，查询本地部署和公共数据库的信息。它还承担了工作流程设计的制定，生成可执行代码，并提供全面的报告。本文专注于单细胞RNA测序（scRNA-seq）数据，展示了BIA在信息处理和分析以及执行复杂任务和交互方面的卓越能力。
Bioinformatics Data Skills by Oreilly学习笔记-2
weixin_42953727的博客
08-23 309
Chapter2 Setting Up and Managing a Bioinformatics Project Organizing Data to Automate File Processing Tasks Shell Expansion Tips $ echo dog-{gone,bowl,bark} dog-gone dog-bowl dog-bark $ mkdir -p zm...
Bioinformatics Data Skills by Oreilly学习笔记-11-1
weixin_42953727的博客
09-08 819
Chapter 11 Working with Alignment Data 突然觉得这是一本比较基础的且要有耐心才能看下去的书，但作者介绍的比较繁琐，没有直入主题，基本的分析流程和背景并不太成体系。有基础的人甚至可以直接跳到11章，想快点看完进入下一本了。 The Sequence Alignment/ Mapping (SAM) format for mapping data (and its...
sequence.go
07-04
一个关于Go语言GenericSeq接口类型的实现类型以及Sequence结构体类型的实现类型的源码
Bioinformatics Data Skills Reproducible and Robust Research with Open 无水印pdf
09-28
Bioinformatics Data Skills Reproducible and Robust Research with Open Source Tools 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除
Bioinformatics-Algorithms:Coursera 工作
06-29
生物信息学-算法 Coursera 工作
Bioinformatics Data Skills Reproducible and Robust Research with Open epub
09-28
Bioinformatics Data Skills Reproducible and Robust Research with Open Source Tools 英文epub 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除
Bioinformatics Algorithms
09-06
Bioinformatics Algorithms: An Active Learning Approach 2nd Edition, Vol. I by Phillip Compeau & Pavel Pevzner
Bioinformatics Data Skills by Oreilly学习笔记-4、5
weixin_42953727的博客
08-25 240
Chapter4 Working with Remote Machines Maintaining Long-Running Jobs with nohup and tmux 1. nohup Because the nohup command is catching and ignoring these hangup signals, the program you’re running won...
医学和生信笔记公众号“生信数据挖掘”合集_R_bioinformatics.zip
09-16
医学和生信笔记公众号“生信数据挖掘”合集_R_bioinformatics
谷歌师兄的leetcode刷题笔记-full_spectrum_bioinformatics:开放获取的生物信息学文本
06-30
谷歌师兄的leetcode刷题笔记 . Full Spectrum Bioinformatics是一个免费的在线文本，旨在使用 Python 编程语言介绍生物信息学的关键主题。 文本是用交互式 Jupyter Notebooks 编写的，它允许您尝试和修改示例代码和...
Bioinformatics
07-12
我要遵循 Coursera 课程的代码和笔记。 本课程分为 6 章，我的书本练习笔记也是如此： 第 1 章：复制从基因组的哪里开始？ 第 2 章：我们如何对抗生素进行测序？ * Branch and Bound Algorithm 第 3 章：哪些 DNA ...
bioinformatics Supplementary Materials
最新发布
07-11
首先，用户的问题是：“我想查找生物信息学相关补充材料 请问bioinformatics supplementary materials”。这翻译成英文是：“I want to find supplementary materials related to bioinformatics, please ask about ...
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