The application discloses a method and
system for assisting in determining the grade of
brain glioma, and belongs to the technical field of biological genes and
bioinformatics. The method comprises the following steps: obtaining sample information of a patient and pre-
processing the sample; performing FISH detection, NGS detection assisted
bioinformatics analysis and
pathological detection on the sample to obtain N1 FISH detection indexes, N2 NGS detection indexes and N3
pathological detection indexes, and
gene variation phenomenon characteristics corresponding to each detection index; and determining the type and grade of
brain glioma based on the detection indexes and the
gene variation phenomenon characteristics corresponding to one or more of the detection indexes. The application also discloses corresponding systems, electronic devices and computer readable storage media. The NGS sequencing technology is used to replace part of the conventional FISH detection mode, the NGS data is retained,
secondary analysis is performed by using the
bioinformatics method to obtain new molecular indexes in the guidelines, the detection types and times are reduced, and the detection mode is optimized.