Automated analysis of electrophoresis images for inter-delta fingerprint yeast typing

Three files have been uploaded, corresponding with the three parts of this program. The second part is developed in R and the other two (first and third parts) in Python. The first part selects each lane in the digitalized electrophoresis gel and extracts its intensity signal spectrum. The second part identifies the most important peak in the spectrum (each band of the line). The third part compares the bands of each line, identifying the isolates that belongs to the same strain.本次共上传3个文件，分别对应本程序的三个功能模块。其中第二模块采用R语言开发，第一、第三模块均基于Python语言开发。第一模块可定位数字化电泳凝胶（digitized electrophoresis gel）中的每条泳道（lane），并提取其强度信号光谱；第二模块用于识别光谱中的关键峰，即对应泳道的每条条带（band）；第三模块通过比对各泳道的条带，识别出属于同一菌株（strain）的分离株（isolates）。