Result: Conceptualizing the ASCC database.
Title:
Conceptualizing the ASCC database.
Authors:
Publication Year:
2025
Subject Terms:
Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, undergoes continuous manipulation, proposed design principles, present best practices, limited computational expertise, ensure necessary documentation, complex biological workflows, automated data processing, laboratory workflows, complex production, biological data, manual processing, data processing, tailored systems, single b, sample tracking, sample data, promote compliance, presented guidelines, monoclonal antibodies, modular pipeline, longer favorable, lacks scalability, laboratories run, guarantee reusability, growing acquisition, gain efficiency, extensive acquisition, experimental cycles
Document Type:
Image
still image
Language:
unknown
DOI:
10.1371/journal.pone.0326678.s006
Availability:
Rights:
CC BY 4.0
Accession Number:
edsbas.8C273A38
Database:
BASE
Further Information
Medium Name,::Composition, and::Mix Date is fetched from the medium table (upper table, green headers). Information in the column::Barcode is fetched from another table (not shown). B) Example of the harvest event that guided the design of database structure: pulling differentiated cells from 6-well plate and seeding on 12-well TransWell plate. At this workflow stage, cells could also be cryo-stored for future experiments. Implementing a one-to-many relationship between 6-well and 12-well TransWell plates helps avoid storing redundant information. (DOCX)