Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families.
Phylogenetic distribution
UX/UI
bioinformatics
gene neighborhoods
orthology
synteny
tools
Journal
bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187
Informations de publication
Date de publication:
03 May 2023
03 May 2023
Historique:
pubmed:
19
5
2023
medline:
19
5
2023
entrez:
19
5
2023
Statut:
epublish
Résumé
Capturing the published corpus of information on all members of a given protein family should be an essential step in any study focusing on any specific member of that said family. This step is often performed only superficially or partially by experimentalists as the most common approaches and tools to pursue this objective are far from optimal. Using a previously gathered dataset of 284 references mentioning a member of the DUF34 (NIF3/Ngg1-interacting Factor 3), we evaluated the productivity of different databases and search tools, and devised a workflow that can be used by experimentalists to capture the most information in less time. To complement this workflow, web-based platforms allowing for the exploration of member distributions for several protein families across sequenced genomes or for the capture of gene neighborhood information were reviewed for their versatility, completeness and ease of use. Recommendations that can be used for experimentalist users, as well as educators, are provided and integrated within a customized, publicly accessible Wiki.
Identifiants
pubmed: 37205517
doi: 10.1101/2023.05.03.539116
pmc: PMC10187207
pii:
doi:
Types de publication
Preprint
Langues
eng
Déclaration de conflit d'intérêts
Conflicts of interest The authors declare no conflict of interest.