文献
J-GLOBAL ID:202002280206031289
整理番号:20A2659341
多重配列アラインメント技術のコンセンサスを用いたインドSARS-CoV-2ゲノムにおける遺伝的変異性の推定【JST・京大機械翻訳】
Inferring the genetic variability in Indian SARS-CoV-2 genomes using consensus of multiple sequence alignment techniques
著者 (5件):
Saha Indrajit
(Department of Computer Science and Engineering, National Institute of Technical Teachers’ Training and Research, Kolkata, West Bengal, India)
,
Ghosh Nimisha
(Department of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India)
,
Maity Debasree
(Department of Electronics and Communication Engineering, MCKV Institute of Engineering, Howrah, West Bengal, India)
,
Sharma Nikhil
(Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India)
,
Mitra Kaushik
(Department of Community Medicine, Burdwan Medical College, Burdwan, West Bengal, India)
資料名:
Infection, Genetics and Evolution
(Infection, Genetics and Evolution)
巻:
85
ページ:
Null
発行年:
2020年
JST資料番号:
A1228A
ISSN:
1567-1348
資料種別:
逐次刊行物 (A)
記事区分:
短報
発行国:
オランダ (NLD)
言語:
英語 (EN)