没有合适的资源?快使用搜索试试~ 我知道了~
首页Managing Your Biological Data with Python 无水印pdf
Managing Your Biological Data with Python 无水印pdf
5星 · 超过95%的资源 需积分: 13 22 下载量 104 浏览量
更新于2023-03-16
评论 2
收藏 3.17MB PDF 举报
Managing Your Biological Data with Python 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
资源详情
资源评论
资源推荐
K13805
“As a beginning structural biologist without any coding experience, this
book would have been a welcome companion to quickly get me started
on my bioinformatical projects with Python. … The book introduces you
to the basic principles of programming in Python using the many built-in
functions. It does so using practical examples that you can start using right
away in your day-to-day research. … I’m condent that reading Managing
Your Biological Data with Python will quickly allow you to get the most
out of your data and start answering those trilling scientic questions you
have, and do all of that while having fun.”
—Marc van Dijk, Utrecht University
“Managing Your Biological Data with Python by Allegra Via et al.
teaches Python using biological examples and discusses important
Python-driven applications, such as PyMol and Biopython. The book is an
excellent resource for any biologist needing relevant programming skills.”
—Thomas Hamelryck, University of Copenhagen
“Managing Your Biological Data with Python is one of very few user-
friendly books for biologists. … It guides readers from writing simple
functions through writing classes to building program pipelines—
everything according to Python coding standards and in an easy-to-follow
way. This is absolutely the best book to start learning Python. Intermediate
Python users can use this book to learn some new tricks that they could
implement in their own code. I highly recommend this book to researchers,
students, and lecturers.”
—Barbara Uszczynska, Centre de Regulació Genòmica
“The book is cleverly designed to cover a wide range of subjects in a
pleasant, easy-to-follow sequence of chapters. … as a single book to
support learning Python for problem solvers in the life sciences, this book
is certainly a very smart choice. It is also ready for creative teachers to
develop more in the same direction.”
—Pedro L. Fernandes, Instituto Gulbenkian de Ciência
Bioinformatics
Managing Your Biological Data with Python
Via, Rother,
and Tramontano
K13805_Cover.indd 1 2/13/14 10:20 AM
Managing Your Biological
Data with Python
CHAPMAN & HALL/CRC
Mathematical and Computational Biology Series
Aims and scope:
This series aims to capture new developments and summarize what is known
over the entire spectrum of mathematical and computational biology and
medicine. It seeks to encourage the integration of mathematical, statistical,
and computational methods into biology by publishing a broad range of
textbooks, reference works, and handbooks. The titles included in the
series are meant to appeal to students, researchers, and professionals in the
mathematical, statistical and computational sciences, fundamental biology
and bioengineering, as well as interdisciplinary researchers involved in the
eld. The inclusion of concrete examples and applications, and programming
techniques and examples, is highly encouraged.
Series Editors
N. F. Britton
Department of Mathematical Sciences
University of Bath
Xihong Lin
Department of Biostatistics
Harvard University
Hershel M. Safer
School of Computer Science
Tel Aviv University
Maria Victoria Schneider
European Bioinformatics Institute
Mona Singh
Department of Computer Science
Princeton University
Anna Tramontano
Department of Physics
University of Rome La Sapienza
Proposals for the series should be submitted to one of the series editors above or directly to:
CRC Press, Taylor & Francis Group
3 Park Square, Milton Park
Abingdon, Oxfordshire OX14 4RN
UK
CHAPMAN & HALL/CRC
Mathematical and Computational Biology Series
Aims and scope:
This series aims to capture new developments and summarize what is known
over the entire spectrum of mathematical and computational biology and
medicine. It seeks to encourage the integration of mathematical, statistical,
and computational methods into biology by publishing a broad range of
textbooks, reference works, and handbooks. The titles included in the
series are meant to appeal to students, researchers, and professionals in the
mathematical, statistical and computational sciences, fundamental biology
and bioengineering, as well as interdisciplinary researchers involved in the
eld. The inclusion of concrete examples and applications, and programming
techniques and examples, is highly encouraged.
Series Editors
N. F. Britton
Department of Mathematical Sciences
University of Bath
Xihong Lin
Department of Biostatistics
Harvard University
Hershel M. Safer
School of Computer Science
Tel Aviv University
Maria Victoria Schneider
European Bioinformatics Institute
Mona Singh
Department of Computer Science
Princeton University
Anna Tramontano
Department of Physics
University of Rome La Sapienza
Proposals for the series should be submitted to one of the series editors above or directly to:
CRC Press, Taylor & Francis Group
3 Park Square, Milton Park
Abingdon, Oxfordshire OX14 4RN
UK
Published Titles
Algorithms in Bioinformatics: A Practical
Introduction
Wing-Kin Sung
Bioinformatics: A Practical Approach
Shui Qing Ye
Biological Computation
Ehud Lamm and Ron Unger
Biological Sequence Analysis Using
the SeqAn C++ Library
Andreas Gogol-Döring and Knut Reinert
Cancer Modelling and Simulation
Luigi Preziosi
Cancer Systems Biology
Edwin Wang
Cell Mechanics: From Single Scale-
Based Models to Multiscale Modeling
Arnaud Chauvière, Luigi Preziosi,
and Claude Verdier
Clustering in Bioinformatics and Drug
Discovery
John D. MacCuish and Norah E. MacCuish
Combinatorial Pattern Matching
Algorithms in Computational Biology
Using Perl and R
Gabriel Valiente
Computational Biology: A Statistical
Mechanics Perspective
Ralf Blossey
Computational Hydrodynamics of
Capsules and Biological Cells
C. Pozrikidis
Computational Neuroscience:
A Comprehensive Approach
Jianfeng Feng
Computational Systems Biology of
Cancer
Emmanuel Barillot, Laurence Calzone,
Philippe Hupé, Jean-Philippe Vert, and
Andrei Zinovyev
Data Analysis Tools for DNA Microarrays
Sorin Draghici
Differential Equations and Mathematical
Biology, Second Edition
D.S. Jones, M.J. Plank, and B.D. Sleeman
Dynamics of Biological Systems
Michael Small
Engineering Genetic Circuits
Chris J. Myers
Exactly Solvable Models of Biological
Invasion
Sergei V. Petrovskii and Bai-Lian Li
Game-Theoretical Models in Biology
Mark Broom and Jan Rychtáˇr
Gene Expression Studies Using
Affymetrix Microarrays
Hinrich Göhlmann and Willem Talloen
Genome Annotation
Jung Soh, Paul M.K. Gordon, and
Christoph W. Sensen
Glycome Informatics: Methods and
Applications
Kiyoko F. Aoki-Kinoshita
Handbook of Hidden Markov Models
in Bioinformatics
Martin Gollery
Introduction to Bioinformatics
Anna Tramontano
Introduction to Bio-Ontologies
Peter N. Robinson and Sebastian Bauer
Introduction to Computational
Proteomics
Golan Yona
Introduction to Proteins: Structure,
Function, and Motion
Amit Kessel and Nir Ben-Tal
An Introduction to Systems Biology:
Design Principles of Biological Circuits
Uri Alon
Kinetic Modelling in Systems Biology
Oleg Demin and Igor Goryanin
Knowledge Discovery in Proteomics
Igor Jurisica and Dennis Wigle
剩余555页未读,继续阅读
yinkaisheng-nj
- 粉丝: 763
- 资源: 6953
上传资源 快速赚钱
- 我的内容管理 收起
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
会员权益专享
最新资源
- c++校园超市商品信息管理系统课程设计说明书(含源代码) (2).pdf
- 建筑供配电系统相关课件.pptx
- 企业管理规章制度及管理模式.doc
- vb打开摄像头.doc
- 云计算-可信计算中认证协议改进方案.pdf
- [详细完整版]单片机编程4.ppt
- c语言常用算法.pdf
- c++经典程序代码大全.pdf
- 单片机数字时钟资料.doc
- 11项目管理前沿1.0.pptx
- 基于ssm的“魅力”繁峙宣传网站的设计与实现论文.doc
- 智慧交通综合解决方案.pptx
- 建筑防潮设计-PowerPointPresentati.pptx
- SPC统计过程控制程序.pptx
- SPC统计方法基础知识.pptx
- MW全能培训汽轮机调节保安系统PPT教学课件.pptx
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功
评论3