Springer Nature
Browse
13068_2018_1111_MOESM6_ESM.xlsx (67.58 MB)

MOESM6 of Meta-proteomic analysis of protein expression distinctive to electricity-generating biofilm communities in air-cathode microbial fuel cells

Download (67.58 MB)
dataset
posted on 2018-04-23, 05:00 authored by Jeremy Chignell, Susan De Long, Kenneth Reardon
Additional file 6. Uniprot accession IDs, protein names, confidence values, unused scores, and number of sequences identified with 95% confidence for each protein in early and intermediate MFC anode biofilms.

Funding

National Science Foundation

History