XIAO-JUN ZHOU^1,*, YU-WEI TIAN¹, RUI-HAN LI²

BIOCELL, Vol.47, No.8, pp. 1907-1913, 2023, DOI:10.32604/biocell.2023.030191 - 28 August 2023

Abstract Background: Acer griseum Pax is an endangered species endemic to China with both ornamental and economic value. However, the lack of information on its genome size and characteristics hinders further work at the genome level. Methods: This paper applied bioinformatics methods to predict the characteristics and patterns of the A. griseum genome, providing an important basis for formulating its whole-genome sequencing scheme. This study also characterized the simple sequence repeats (SSRs) of A. griseum, laying the foundation for the development and application of genome-wide SSR markers. In this study, PE150 sequencing was performed by the BGI MGISEQ platform,… More >

Mary Aksa¹, Junaid Rashid^2,*, Muhammad Wasif Nisar¹, Toqeer Mahmood³, Hyuk-Yoon Kwon⁴, Amir Hussain⁵

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3931-3946, 2021, DOI:10.32604/cmc.2021.016081 - 06 May 2021

Abstract Advancements in next-generation sequencer (NGS) platforms have improved NGS sequence data production and reduced the cost involved, which has resulted in the production of a large amount of genome data. The downstream analysis of multiple associated sequences has become a bottleneck for the growing genomic data due to storage and space utilization issues in the domain of bioinformatics. The traditional string-matching algorithms are efficient for small sized data sequences and cannot process large amounts of data for downstream analysis. This study proposes a novel bit-parallelism algorithm called BitmapAligner to overcome the issues faced due to… More >