<b>Harnessing the Full Potential of Multi-omics: A Strategic Approach to Literature Retrieval in Next Generation Mammalian Cell Bioprocessing</b>

DOI

This repository contains all code, data preprocessing steps, and visualisation workflows used to analyse scientific literature related to CHO and HEK293 cell lines, with a focus on comparing publications that mention bioprocessing terms versus those that do not.Contents:Jupyter Notebook:The main analysis notebook includes:Designed for reproducibility and exploratory insight.requirements.txt:A list of all Python packages and their versions required to run the notebook. This ensures the analysis is fully reproducible in any compatible environment.README.md:Contains instructions for environment setup, data expectations, and a brief overview of each major section of the notebook.

Identifier
DOI https://doi.org/10.5522/04/29652422.v1
Related Identifier HasPart https://ndownloader.figshare.com/files/56586359
Related Identifier HasPart https://ndownloader.figshare.com/files/56586362
Related Identifier HasPart https://ndownloader.figshare.com/files/56586368
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/29652422
Provenance
Creator Price, Eva
Publisher University College London UCL
Contributor Figshare
Publication Year 2025
Rights https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Workflow; Other
Discipline Basic Biological and Medical Research; Biochemistry; Biology; Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences