A protein identification method for proteomics using amino acid composition analysis with IoT-based remote control.

Kato K, Mukawa Y, Uemura S, Okayama M, Kadota Z, Hosozawa C, Kumamoto S, Furuta S, Iwaoka M, Araki T, Yamaguchi H

Open source

DOI
10.1016/j.ab.2022.114904
Published
2022 Nov 15
Container
Analytical biochemistry
Publisher
Not recorded
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.ab.2022.114904,
  title = {A protein identification method for proteomics using amino acid composition analysis with IoT-based remote control.},
  author = {Kato K and Mukawa Y and Uemura S and Okayama M and Kadota Z and Hosozawa C and Kumamoto S and Furuta S and Iwaoka M and Araki T and Yamaguchi H},
  year = {2022},
  journal = {Analytical biochemistry},
  doi = {10.1016/j.ab.2022.114904},
  url = {https://doi.org/10.1016/j.ab.2022.114904}
}

RIS

TY  - JOUR
TI  - A protein identification method for proteomics using amino acid composition analysis with IoT-based remote control.
AU  - Kato K
AU  - Mukawa Y
AU  - Uemura S
AU  - Okayama M
AU  - Kadota Z
AU  - Hosozawa C
AU  - Kumamoto S
AU  - Furuta S
AU  - Iwaoka M
AU  - Araki T
AU  - Yamaguchi H
PY  - 2022
JO  - Analytical biochemistry
DO  - 10.1016/j.ab.2022.114904
UR  - https://doi.org/10.1016/j.ab.2022.114904
ER  - 

APA

K, K., Y, M., S, U., M, O., Z, K., C, H., S, K., S, F., M, I., T, A., & H, Y. (2022). A protein identification method for proteomics using amino acid composition analysis with IoT-based remote control.. Analytical biochemistry. https://doi.org/10.1016/j.ab.2022.114904

Source records