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This folder contains mindata objects for FoodMicrobionet v4.2.1. These objects allow, via the NCBI accession number, direct access to information on individual studies. Each object is a R list containing: Study_accn = the study accession number, study_df = a data frame with the study information, overlap = a logical flag indicating if overlapping paired sequences were used, pend = a logical flag indicating if paired sequences were used, physeq = a phyloseq object with sample, taxa, OTU tables and, when available, a phylogenetic tree, rev_compl = a flag indicating if the sequences need to be transformed in reverse complement before taxonomic assignment This project is currently co-funded by Ministero dell'Università e della Ricerca PRIN 2022, proposal 2022NN28ZZ, and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR)) CUP C53D23005460006 Refer to this publication for further detail on v4.1 of FoodMicrobionet: Parente, E., Zotta, T., Ricciardi, A., 2022. FoodMicrobionet v4: A large, integrated, open and transparent database for food bacterial communities. Int J Food Microbiol 372, 109696. https://doi.org/10.1016/j.ijfoodmicro.2022.109696
food, microbiota, bacteria, database
food, microbiota, bacteria, database
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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