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"Contents\n\nIntroduction to MGnify\nOverview of MGnifyR\nBioconductor and MGnifyR" + }, + { + "objectID": "mgnifyr.html#mgnify", + "href": "mgnifyr.html#mgnify", + "title": "MGnifyR: An R package for accessing MGnify microbiome data", + "section": "MGnify", + "text": "MGnify\n\nMicrobiome database hosted by EMBL/EBI\nRaw sequences from ENA\nStandardized bioinformatics pipelines" + }, + { + "objectID": "mgnifyr.html#data-availability", + "href": "mgnifyr.html#data-availability", + "title": "MGnifyR: An R package for accessing MGnify microbiome data", + "section": "Data availability", + "text": "Data availability\n\nOpen access\nTaxonomy and functional mappings along with genome catalogues\nApplication Programming Interface (API)" + }, + { + "objectID": "mgnifyr.html#problem-in-api", + "href": "mgnifyr.html#problem-in-api", + "title": "MGnifyR: An R package for accessing MGnify microbiome data", + "section": "Problem in API", + "text": "Problem in API\n\nRequires familiarity with API workflows, database structures, and linkages.\nLeads to challenges in reproducibility and time-consuming data wrangling." + }, + { + "objectID": "mgnifyr.html#mgnifyr", + "href": "mgnifyr.html#mgnifyr", + "title": "MGnifyR: An R package for accessing MGnify microbiome data", + "section": "MGnifyR", + "text": "MGnifyR\n\nR/Bioconductor package\nStreamlines access to MGnify database\nBridges the gap between data resources and tools" + }, + { + "objectID": "mgnifyr.html#functions", + "href": "mgnifyr.html#functions", + "title": "MGnifyR: An R package for accessing MGnify microbiome data", + "section": "Functions", + "text": "Functions\n\nMgnifyClient(): Constructor for MgnifyClient object.\ndoQuery(): Search MGnify database for studies, samples, runs, analyses, biomes, assemblies, and genomes.\nsearchAnalysis(): Look up analysis accession IDs for one or more study or sample accessions.\ngetMetadata(): Get all study, sample and analysis metadata for the supplied analysis accessions.\ngetResult(): Get microbial and/or functional profiling data for a list of accessions.\ngetData(): Versatile function to retrieve raw results.\ngetFile() & searchFile(): Download any MGnify files, also including processed reads and identified protein sequences." + }, + { + "objectID": "mgnifyr.html#bioconductor-and-mgnifyr", + "href": "mgnifyr.html#bioconductor-and-mgnifyr", + "title": "MGnifyR: An R package for accessing MGnify microbiome data", + "section": "Bioconductor and MGnifyR", + "text": "Bioconductor and MGnifyR\n\nMicrobial and functional profiling data is retrieved as TreeSE/MAE format.\nCommon data format supported broadly by Bioconductor.\nEnables direct access to cutting-edge tools (e.g. miaverse)." } ] \ No newline at end of file diff --git a/quarto/_quarto.yml b/quarto/_quarto.yml index c5b9175..163bdd1 100755 --- a/quarto/_quarto.yml +++ b/quarto/_quarto.yml @@ -9,6 +9,7 @@ project: - bioconductor.qmd - starting.qmd - reproducible_workflow.qmd + - 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zH`c?Kfl|wJNpymGc*#MZg8abEF5u=NZPlwWND3Ut^hCqI)KoE<2;8!i55o|a6ai5V z3kmr@6=`=D*=YNj1?btv00w}L3&cp$dwO5`Mq!E)qAO;WmkYMOASD-oIfR4t)x8hBv8jNF?m-#Q$<}_fMX8HshOFL==QtyjdUz zW=`Rd0q)QGPuin6+&=>Tzzh@o7gRlHV^I`vHyt}}p)ZQfqD^G9TxU}1kSU^o7sSHH zE_a*SlQ9Ty9eKN|e9k&#mi@BuVKBW7WID4$FocjtsHqI@qPG}}kj&zql+Mf;rI;nj zza0+Q783(K??pg0fsVqZCl$P^?oS<9>XYHd1&+Y8$Lbx6$?L{f>c#@XlJh`+I|Bom xNr|!@swLru*i|0}uC^AFo+XE3DG5Gc8YMU2zt>|sfPnwriphx<3%~RG{{VYfG~ECI literal 0 HcmV?d00001 diff --git a/quarto/index.qmd b/quarto/index.qmd index 869b447..52c0454 100755 --- a/quarto/index.qmd +++ b/quarto/index.qmd @@ -19,6 +19,10 @@ This website hosts quarto presentations about microbiome analysis and data integ - [Learning environment](https://microbiome.github.io/outreach/starting.html){target="_blank"} - [Workflow](https://microbiome.github.io/outreach/workflow.html){target="_blank"} +### Packages + +- [MGnifyR: An R package for accessing MGnify microbiome data](https://microbiome.github.io/outreach/mgnifyr.html) + ### Data containers - [Orchestrating microbiome multi-omics with R & Bioconductor](https://microbiome.github.io/outreach/lahti_bioc2023.html){target="_blank"} @@ -54,7 +58,7 @@ The following is a quick workflow for contributions: 3. update the [\_quarto.yml file](https://github.com/microbiome/outreach/blob/main/quarto/_quarto.yml) and the list of presentations in the [website](https://github.com/microbiome/outreach/blob/main/quarto/index.qmd) with the name of the qmd file(s) with your presentation(s) -4. run `quarto render`, or in R `quarto::render(myfilename)` from your terminal from within the quarto sub-directory +4. run `quarto render`, or in R `quarto::quarto_render(myfilename)` from your terminal from within the quarto sub-directory 5. and make a pull request to the master branch diff --git a/quarto/mgnifyr.qmd b/quarto/mgnifyr.qmd new file mode 100644 index 0000000..d329ea6 --- /dev/null +++ b/quarto/mgnifyr.qmd @@ -0,0 +1,58 @@ +--- +title: "MGnifyR: An R package for accessing MGnify microbiome data" +format: revealjs +editor: visual +--- + +## Contents + +1. Introduction to MGnify +2. Overview of `MGnifyR` +3. Bioconductor and `MGnifyR` + +## MGnify + +- [Microbiome database hosted by EMBL/EBI](https://www.ebi.ac.uk/metagenomics) +- Raw sequences from [ENA](https://www.ebi.ac.uk/ena/browser/home) +- Standardized bioinformatics pipelines + +![](images/mgnify_logo.png){width="250" style="margin-right: 30px;"} +![](images/ENA-logo.png){width="250"} + +## Data availability + +- Open access +- Taxonomy and functional mappings along with genome catalogues +- Application Programming Interface (API) + +## Problem in API + +- Requires familiarity with API workflows, database structures, and linkages. +- Leads to challenges in reproducibility and time-consuming data wrangling. + +## MGnifyR + +- R/Bioconductor package +- Streamlines access to MGnify database +- Bridges the gap between data resources and tools + +![](images/mgnifyr_logo.png){width="100"} + +## Functions + +- `MgnifyClient()`: Constructor for `MgnifyClient` object. +- `doQuery()`: Search MGnify database for studies, samples, runs, analyses, biomes, assemblies, and genomes. +- `searchAnalysis()`: Look up analysis accession IDs for one or more study or sample accessions. +- `getMetadata()`: Get all study, sample and analysis metadata for the supplied analysis accessions. +- `getResult()`: Get microbial and/or functional profiling data for a list of accessions. +- `getData()`: Versatile function to retrieve raw results. +- `getFile()` & `searchFile()`: Download any MGnify files, also including processed reads and identified protein sequences. + +## Bioconductor and MGnifyR + +- Microbial and functional profiling data is retrieved as [`TreeSE`/`MAE`](https://microbiome.github.io/OMA/docs/devel/pages/containers.html) format. +- Common data format supported broadly by Bioconductor. +- Enables direct access to cutting-edge tools (e.g. _miaverse_). + +![](images/BioconductorSticker1.png){width="250"} +![](images/mia_logo.png){width="250"}
+
+ +
+

MGnifyR: An R package for accessing MGnify microbiome data

+ +
+
+ +
+
+

Contents

+
    +
  1. Introduction to MGnify
  2. +
  3. Overview of MGnifyR
  4. +
  5. Bioconductor and MGnifyR
  6. +
+
+
+

MGnify

+
+

+
+
+

Data availability

+
    +
  • Open access
  • +
  • Taxonomy and functional mappings along with genome catalogues
  • +
  • Application Programming Interface (API)
  • +
+
+
+

Problem in API

+
    +
  • Requires familiarity with API workflows, database structures, and linkages.
  • +
  • Leads to challenges in reproducibility and time-consuming data wrangling.
  • +
+
+
+

MGnifyR

+
    +
  • R/Bioconductor package
  • +
  • Streamlines access to MGnify database
  • +
  • Bridges the gap between data resources and tools
  • +
+ +
+
+

Functions

+
    +
  • MgnifyClient(): Constructor for MgnifyClient object.
  • +
  • doQuery(): Search MGnify database for studies, samples, runs, analyses, biomes, assemblies, and genomes.
  • +
  • searchAnalysis(): Look up analysis accession IDs for one or more study or sample accessions.
  • +
  • getMetadata(): Get all study, sample and analysis metadata for the supplied analysis accessions.
  • +
  • getResult(): Get microbial and/or functional profiling data for a list of accessions.
  • +
  • getData(): Versatile function to retrieve raw results.
  • +
  • getFile() & searchFile(): Download any MGnify files, also including processed reads and identified protein sequences.
  • +
+
+
+

Bioconductor and MGnifyR

+
    +
  • Microbial and functional profiling data is retrieved as TreeSE/MAE format.
  • +
  • Common data format supported broadly by Bioconductor.
  • +
  • Enables direct access to cutting-edge tools (e.g. miaverse).
  • +
+

+ + +
+
+