PROSES: A Web Server for Sequence-Based Protein Encoding


Kosesoy İ. , Gok M., Oz C.

JOURNAL OF COMPUTATIONAL BIOLOGY, cilt.25, sa.10, ss.1120-1122, 2018 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Konu: 10
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1089/cmb.2018.0049
  • Dergi Adı: JOURNAL OF COMPUTATIONAL BIOLOGY
  • Sayfa Sayıları: ss.1120-1122

Özet

Recently, the number of the amino acid sequences shared in online databases is growing rapidly in huge amounts. By using sequence-derived features, machine learning algorithms are successfully applied to prediction of protein functional classes, protein-protein interactions, subcellular location, and peptides of specific properties in many studies. Protein Sequence Encoding System (PROSES) is a web server designed as freely and easily accessible for all researchers who want to use computational methods on protein sequence data. That is, PROSES provides users to encode their protein sequences easily without writing any programming code.