Use Scholia and Wikidata to find scientific literature
Scholia is a useful tool for finding scientific literature. Based on the main topic of a publication, you can find literature similar to a publication you are looking into or literature you didn’t know about or consider. Additionally, you can take advantage of all of the annotation work of others...
Keywords: Literature
Resource type: Tutorial
Use Scholia and Wikidata to find scientific literature
https://laurendupuis.github.io/Scholia_tutorial/
http://tess.elixir-uk.org/materials/use-scholia-and-wikidata-to-find-scientific-literature
Scholia is a useful tool for finding scientific literature. Based on the main topic of a publication, you can find literature similar to a publication you are looking into or literature you didn’t know about or consider. Additionally, you can take advantage of all of the annotation work of others when finding literature. Proper annotation also makes scientific literature more findable.
Lauren Dupuis
Literature
Researchers
Metagenomics Bioinformatics
Metagenomics, the genomic analysis of microbial communities from samples like water and soil, involves high throughput sequencing of the microbial DNA, collecting, archiving and resharing the genomic data for taxonomic and functional analysis.
Scientific topics: Metagenomics
Keywords: Metagenomics, MGnify, Sequence Analysis, Microbiology
Resource type: Tutorial
Metagenomics Bioinformatics
https://www.ebi.ac.uk/training/online/course/metagenomics-bioinformatics
http://tess.elixir-uk.org/materials/metagenomics-bioinformatics
Metagenomics, the genomic analysis of microbial communities from samples like water and soil, involves high throughput sequencing of the microbial DNA, collecting, archiving and resharing the genomic data for taxonomic and functional analysis.
Alex Mitchell
Varsha Kale
Rob Finn
Guillermo Rangel Pineros
Rebecca Campos
Alex Mitchell
Varsha Kale
Rob Finn
Guillermo Rangel Pineros
Rebecca Campos
Metagenomics
Metagenomics, MGnify, Sequence Analysis, Microbiology
Life Scientists
EBI Metagenomics: analysing and exploring metagenomics data
EBI metagenomics is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly datasets. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets...
Scientific topics: Metagenomics
Keywords: Metagenomics, MGnify, Sequence Analysis, Microbiology
Resource type: Webinar
EBI Metagenomics: analysing and exploring metagenomics data
https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-analysing-and-exploring-metagenomics-data
http://tess.elixir-uk.org/materials/ebi-metagenomics-analysing-and-exploring-metagenomics-data
EBI metagenomics is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly datasets. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets held within the European Nucleotide Archive.
Alex Mitchell
Alex Mitchell
Metagenomics
Metagenomics, MGnify, Sequence Analysis, Microbiology
Life Scientists
Analysing and visualising microbiome-derived datasets using the MGnify Web API
MGnify (formerly EBI Metagenomics) is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly data. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available...
Analysing and visualising microbiome-derived datasets using the MGnify Web API
https://www.ebi.ac.uk/training/online/course/analysing-and-visualising-microbiome-derived-datasets-using-mgnify-web-api
http://tess.elixir-uk.org/materials/analysing-and-visualising-microbiome-derived-datasets-using-the-mgnify-web-api
MGnify (formerly EBI Metagenomics) is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly data. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets drawn from the European Nucleotide Archive (ENA).