Novel bioinformatics strategies for prediction of directional sequence changes in influenza virus genomes and for surveillance of potentially hazardous strains

Ítems similars

• A Novel Bioinformatics Strategy to Analyze Microbial Big Sequence Data for Efficient Knowledge Discovery: Batch-Learning Self-Organizing Map (BLSOM)
  per: Iwasaki, Yuki, et al.
  Publicat: (2013)
• Prediction of Directional Changes of Influenza A Virus Genome Sequences with Emphasis on Pandemic H1N1/09 as a Model Case
  per: Iwasaki, Yuki, et al.
  Publicat: (2011)
• Directional and reoccurring sequence change in zoonotic RNA virus genomes visualized by time-series word count
  per: Wada, Yoshiko, et al.
  Publicat: (2016)
• Notable clustering of transcription-factor-binding motifs in human pericentric regions and its biological significance
  per: Iwasaki, Yuki, et al.
  Publicat: (2013)
• AI-based search for convergently expanding, advantageous mutations in SARS-CoV-2 by focusing on oligonucleotide frequencies.
  per: Toshimichi Ikemura, et al.
  Publicat: (2022-01-01)