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组成部分。其中第二部分基于R语言开发，其余两个部分（第一、第三部分）采用Python开发。第一部分用于选取数字化电泳凝胶（digitalized electrophoresis gel）中的每条泳道，并提取其强度信号谱（intensity signal spectrum）。第二部分用于识别谱图中的关键峰值，即对应泳道的各条带。第三部分用于对各泳道的条带进行比对，从而识别出属于同一菌株的分离株。