Unity细胞模型库，包含动物细胞，植物细胞，细菌细胞和真菌细胞

中文| 昆虫机器人 用你的手机控制一只昆虫。 该项目受到极大启发。 开始 git clone --recursive https://github.com/genelocated/insect-robot.git 硬件 用Eagle 7.7.0： hard/insect-robot.brd文件，选择文件 > CAM 处理器...文件 > 打开 > 作业... ，： gerb274x.cam ，处理作业。：作业excellon.cam ，处理作业。将生成的gerber文件发给pcb打样厂。 被控端固件 由于主控芯片采用的是AVR，所以兼容Arduino。可以使用Arduino IDE编程，具体请见目录。 另一种方法：用atmel studio： avr/controlled/insectRobot.atsln ，运行build > build solution 。生成的hex文件为Debug/controlled.hex control.hex，用avrdude或progisp烧录。需要用到AVR asp。你还需要买一块。 手机端 用微信扫描以下二维码打开小程序： 许可协议 本项目为开

An introduction to systems biology：Design principles of biological circuits

A brief introduction to the formulation of various types of stochastic epidemic models is presented based on the well-known deterministic SIS and SIR epidemic models. Three different types of stochastic model formulations are discussed: discrete time Markov chain, continuous time Markov chain and stochastic differential equations. Properties unique to the stochastic models are presented: probability of disease extinction, probability of disease outbreak, quasistationary probability distribution, final size distribution, and expected duration of an epidemic. The chapter ends with a discussion of two stochastic formulations that cannot be directly related to the SIS and SIR epidemic models. They are discrete time Markov chain formulations applied in the study of epidemics within households (chain binomial models) and in the prediction of the initial spread of an epidemic (branching processes).

Chapter 1 presents fundamental concepts from molecular biology. We describe the basicstructure and function of proteins and nucleic acids, the mechanisms of molecular genetics,the most important laboratory techniques for studying the genome of organisms, andan overview of existing sequence databases.Chapter 2 describes strings and graphs, two of the most important mathematical objectsused in the book. A brief exposition of general concepts of algorithms and theiranalysis is also given, covering definitions from the theory of NP-completeness.The following chapters are based on specific problems in molecular biology. Chapter3 deals with sequence comparison. The basic two-sequence problem is studied andthe classic dynamic programming algorithm is given. We then study extensions of thisalgorithm, which are used to deal with more general cases of the problem. A section is devotedto the multiple-sequence comparison problem. Other sections deal with programsused in database searches, and with some other miscellaneous issues.Chapter 4 covers the fragment assembly problem. This problem arises when a DNAsequence is broken into small fragments, which must then be assembled to reconstitutethe original molecule. This is a technique widely used in large-scale sequencing projects,such as the Human Genome Project. We show how various complications make thisproblem quite hard to solve. We then present some models for simplified versions of theproblem. Later sections deal with algorithms and heuristics based on these models.Chapter 5 covers the physical mapping problem. This can be considered as fragmentassembly on a larger scale. Fragments are much longer, and for this reason assemblytechniques are completely different. The aim is to obtain the location of some markersalong the original DNA molecule. A brief survey of techniques and models is given.We then describe an algorithm for th