Data Analysis in Molecular Biology and Evolution. Xuhua Xia

2001 ◽  
Vol 76 (3) ◽  
pp. 344-344
Author(s):  
Mark Blaxter
2012 ◽  
Vol 74 (4) ◽  
pp. 237-243 ◽  
Author(s):  
Jon Benskin ◽  
Sixue Chen

As advances in biotechnology and molecular biology rapidly expand in research settings, it is vital that we continue to prepare high school students to enter and thrive in those modern laboratories. This multistep, inquiry-based lab describes highly adaptable methods to teach students not only current molecular techniques and technologies, but also about proteomics and microorganisms. Students participate in protein extraction, gel electrophoresis, mass spectrometry, and data analysis to identify proteins present in microorganisms.


2004 ◽  
Vol 16 (02) ◽  
pp. 68-72
Author(s):  
LI-YEH CHUANG ◽  
CHENG-HONG YANG ◽  
CHAO-CHING CHANG ◽  
WEN-SHYONG TZOU ◽  
LI-CHENG JIN

Sequence alignment is a fundamental and important tool for sequence data analysis in molecular biology. Many applications in molecular biology require the detection of a similarity pattern displayed by a number of DNA and protein sequences. Visual front-ends are useful for an intuitive viewing of alignment and help to analyze the structure, functions, and evolution of the DNA and protein. In this paper, we designed and implemented an interactive system for data visualization in DNA and proteins, which can be used in determining a sequence alignment, similarity search of sequence data, and function interference. Experimental results show that a user can easily operate the system after one hour's practice on the proposed system, which provides a clean output, easy identification of similarity and visualization of alignment data.


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