Data Analysis of Brain Cancer with Biopython


Authors : Vinita Kukreja; Uma Kumari

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3nSopw1

DOI : https://doi.org/10.5281/zenodo.7811128

Abstract : Biopython, an open source tools of Python for biological computation, was first published in 2000 by Brad Chapman and Jeff Chang. Biopython features consist of parsers for Bioinformatics file formats, access to online Bioinformatics databases, interfaces to common programs, a standard sequence class, etc. Glioblastoma is one of the most aggressive (grade IV) type of brain cancer, accounts for 15% of all brain tumors. Genetic alteration in Glioblastoma include EGFR and PDGFR amplification, TERT promoter mutation, alteration in TP53, NF1, PTEN and RB, loss of chromosome arm 10q and aberrations in RTK/Ras/PI3K signaling pathways. Pathway maps were used to understand a molecular interaction and reaction network in Glioma. Multiple sequence alignment tools helps us to analyze the area of similarity and evolutionary relationships between the sequences. Using Biopython tools we perform the analysis of the nucleotide sequences. This study introduces the application of a brain tumor detection algorithm using machine learning techniques

Keywords : Brain Tumor, Computer Vision, Structure Analysis, Sequence Alignment, Deep Learning, Biopython.

Biopython, an open source tools of Python for biological computation, was first published in 2000 by Brad Chapman and Jeff Chang. Biopython features consist of parsers for Bioinformatics file formats, access to online Bioinformatics databases, interfaces to common programs, a standard sequence class, etc. Glioblastoma is one of the most aggressive (grade IV) type of brain cancer, accounts for 15% of all brain tumors. Genetic alteration in Glioblastoma include EGFR and PDGFR amplification, TERT promoter mutation, alteration in TP53, NF1, PTEN and RB, loss of chromosome arm 10q and aberrations in RTK/Ras/PI3K signaling pathways. Pathway maps were used to understand a molecular interaction and reaction network in Glioma. Multiple sequence alignment tools helps us to analyze the area of similarity and evolutionary relationships between the sequences. Using Biopython tools we perform the analysis of the nucleotide sequences. This study introduces the application of a brain tumor detection algorithm using machine learning techniques

Keywords : Brain Tumor, Computer Vision, Structure Analysis, Sequence Alignment, Deep Learning, Biopython.

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