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Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families
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 tool...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187207/ https://www.ncbi.nlm.nih.gov/pubmed/37205517 http://dx.doi.org/10.1101/2023.05.03.539116 |
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author | Reed, Colbie Denise, Rémi Hourihan, Jacob Babor, Jill Jaroch, Marshall Martinelli, Maria Hutinet, Geoffrey de Crécy-Lagard, Valérie |
author_facet | Reed, Colbie Denise, Rémi Hourihan, Jacob Babor, Jill Jaroch, Marshall Martinelli, Maria Hutinet, Geoffrey de Crécy-Lagard, Valérie |
author_sort | Reed, Colbie |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10187207 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101872072023-05-17 Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families Reed, Colbie Denise, Rémi Hourihan, Jacob Babor, Jill Jaroch, Marshall Martinelli, Maria Hutinet, Geoffrey de Crécy-Lagard, Valérie bioRxiv Article 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. Cold Spring Harbor Laboratory 2023-05-03 /pmc/articles/PMC10187207/ /pubmed/37205517 http://dx.doi.org/10.1101/2023.05.03.539116 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Reed, Colbie Denise, Rémi Hourihan, Jacob Babor, Jill Jaroch, Marshall Martinelli, Maria Hutinet, Geoffrey de Crécy-Lagard, Valérie Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families |
title | Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families |
title_full | Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families |
title_fullStr | Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families |
title_full_unstemmed | Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families |
title_short | Beyond Blast: Enabling Microbiologists to Better Extract Literature, Taxonomic Distributions and Gene Neighborhood Information for Protein Families |
title_sort | beyond blast: enabling microbiologists to better extract literature, taxonomic distributions and gene neighborhood information for protein families |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187207/ https://www.ncbi.nlm.nih.gov/pubmed/37205517 http://dx.doi.org/10.1101/2023.05.03.539116 |
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