Bioinformatics and machine learning laboratory was established in 2011, is part of the Department of Computer Information, Renmin University, located Polytechnic separate paragraph layer 106B.
Bioinformatics is an interdisciplinary frontier, through the application of computers and computing technology research biology medical problems, research methods and includes a plurality of computer science and technology, statistics, mathematics, physics and so on. Since the nucleic acid sequence data and other biological data growth has been exponential growth, such as next-generation sequencing 2010 data - in 2013 the amount of data is doubling every five months, indicating that the development of bioinformatics is growing very fast in recent years, life sciences data and Internet data, as has been recognized as big data, computer science and life sciences cross is an inevitable historical trend, to Computational Science and Life Sciences offers great opportunities, of course, is a process of both opportunities and challenges.
Our laboratory research can be divided into two levels. Explore new methods one methodology requires starting from whole genome, starting from the system level to generate new hypotheses based on the data, the discovery of new laws, the discovery of new functional elements. Second, machine learning, data mining, data management, computer technology level, we research and development and management, retrieval, analysis techniques and software and visualize vast amounts of biological data, including sequence alignment algorithm, differential gene expression analysis and gene regulatory network analysis Machine learning algorithms and software.
The laboratory research with this leading Virginia Tech ECE college CBIL laboratory, Queensland University of IMB Institute established a good academic exchanges to contact the hospital for students interested in learning the biological information may apply to other exchange learning.
Bioinformatics and machine learning research team has extensive experience in teaching, hosted and participated in a number of national "863" project, the Natural Science Foundation of China, provincial and corporate horizontal issues, and access to provincial and ministerial level scientific research award. Published many articles in academic journals and meetings at home and abroad. Team member teach multi-door computer science core curriculum, guidance has been more than 30 graduate students, undergraduate 50.