Design of DNA Coding Based on Immune Clone Selection Algorithm

نویسندگان

  • Yourui Huang
  • Liguo Qu
  • Chaoli Tang
چکیده

In DNA computing, the design of DNA code is the most important step. The definition of DNA code, the constraints of DNA encoding and the corresponding formula are firstly described in this article, and then the design of DNA encoding based on immune clone algorithm is introduced. Simulation experiments show that DNA molecular chains that satisfy specific constraints and the corresponding thermodynamic characteristics can be produced based on immune clone selection algorithm. Using immune clone selection algorithm can improves the efficiency of encoding by, and using a series of constraints can produce very stable DNA sequences. It laid a good foundation for DNA computing.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Community Detection in Complex Networks Using Immune Clone Selection Algorithm

Based on optimization modularity, many algorithms were proposed to detect community structure in complex networks. As a optimization measure, modularity has resolution limits problems. A new measure named by modularity density was introduced, which can overcome the resolution limits drawbacks of modularity function. In this paper, we propose a immune clone selection algorithm for detecting comm...

متن کامل

Distributed Black-Box Software Testing Using Negative Selection

In the software development process, testing is one of the most human intensive steps. Many researchers try to automate test case generation to reduce the manual labor of this step. Negative selection is a famous algorithm in the field of Artificial Immune System (AIS) and many different applications has been developed using its idea. In this paper we have designed a new algorithm based on nega...

متن کامل

Negative Selection Based Data Classification with Flexible Boundaries

One of the most important artificial immune algorithms is negative selection algorithm, which is an anomaly detection and pattern recognition technique; however, recent research has shown the successful application of this algorithm in data classification. Most of the negative selection methods consider deterministic boundaries to distinguish between self and non-self-spaces. In this paper, two...

متن کامل

Online Streaming Feature Selection Using Geometric Series of the Adjacency Matrix of Features

Feature Selection (FS) is an important pre-processing step in machine learning and data mining. All the traditional feature selection methods assume that the entire feature space is available from the beginning. However, online streaming features (OSF) are an integral part of many real-world applications. In OSF, the number of training examples is fixed while the number of features grows with t...

متن کامل

Optimization Design of Crane Box Girder Based on the Improved Polyclonal Selection Algorithm

On the basis of the polyclonal selection algorithm, an improved polyclonal selection algorithm based on negative selection is put forward in this paper. Inspired by the diversity and auto-tolerance of the negative selection, the population diversity is increased by the clone deletion and clone supply to improve the polyclonal selection algorithm. Finally, the optimization design of the crane bo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • JSW

دوره 7  شماره 

صفحات  -

تاریخ انتشار 2012