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Merge pull request #43 from TheJacksonLaboratory/task/add-web-app-documentation
Adding web application specific documentation
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docs/assets/gw-tutorial.pptx

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docs/getting-started/index.md

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@@ -4,11 +4,27 @@ and concise introduction to the Geneweaver ecosystem. No matter who you are, thi
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section will help you quickly get up and running with basic features and functionalities
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in Geneweaver.
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## Quick Start
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- The **[Quick Start Guide](../assets/GeneWeaverquickstart2018.pdf){:download="GeneWeaverQuickStart.pdf"}** is designed to help get new users up and running
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quickly with a basic two page GeneWeaver Guide.
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- The **[GeneWeaver Tutorial](../assets/gw-tutorial.pptx){:download="GeneWeaverTutorial.pptx"}** provides a guided tutorial exercise to get you
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familiar with using and interpreting basic GeneWeaver analyses and tools through applied
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examples. The exercise is suitable for use in demonstrations, workshops and courses.
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* For more details on **how to get started** by searching for some specific genes of
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interest and analyzing them, read the **[General Search](#general-search)** section.
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- To learn more about how to work with other researchers and their data within
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GeneWeaver check out **[Users and Groups](#users-and-groups)**.
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- **[GeneWeaver Movie](https://www.youtube.com/watch?v=6mggK6tsEBo)** provides video
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clips featuring examples of the use of GeneWeaver tools.
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- **[FAQ](#faq)**
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For more in-depth information about the concepts presented in this section, please see
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the [Concepts](../concepts/index.md) section and the [Reference](../reference/index.md)
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section.
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## Quick Start
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## Contextual Quick Start
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If you're already familiar with Geneweaver, and just need to find content specific to
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your use-case, you can use the following links to jump to the appropriate documentation.
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If you find that you need more information, head back to this website and keep reading!

docs/reference/curation/curation-standards.md

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!!! tip
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GeneSet tiers also have a non-curation meaning, which can be referenced on the [GeneSet Tiers](../geneset-tiers.md) page.
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# **General Definitions**
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**Gene Set Name**: A brief title for the gene set, approximately sentence length, that
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should provide a clear and concise description of the contents of a gene set
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interpretable to most users of GeneWeaver, but with sufficient detail to satisfy a
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domain expert. This is the major gene set name that is displayed in all search results,
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project directory and table views of analysis results. Standards for specific gene set
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types are given in the following section.
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**Gene Set Figure Label**: A brief 23 character abbreviation to facilitate recognition
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of the gene set in a graph or other display.
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**Gene Set Description**: A detailed description of the gene set, including rules for
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its construction, experimental methods and analyses used to generate data, anatomical
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terms, and traceable references to source data including accession information and date.
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Abbreviations should be avoided.
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**Ontology Annotations**: Relevant terms from Disease Ontology, Mammalian Ontology and
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other OBO ontologies supplied by curators or identified through the application of the
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NCBO Annotator to textual descriptions including publication abstracts.
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**Publication Information**: PubMed ID, title, authors, publication information and
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full-text of the abstract.
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# **Standards for Common Gene Set Types**
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### Type of Data: Differential Expression Profiling
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**Gene Set Name**: Genes \[upregulated/downregulated/differentially expressed\] in
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\[tissue\] \[comparison\]. _**Example**_: Genes differentially expressed in striatum of
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C57Bl/6J compared to C57Bl/6C.
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Note: spell out anatomical terms as nouns, e.g. striatum, not striatal. Include complete
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strain names, e.g. C57BL/6J not B6.
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**Gene Set Figure Label**: B6JvsB6CStriatum
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**Gene Set Description**: Indicate which samples were compared. What experimental
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manipulations or tissue differences are being examined? Indicate statistical
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methodology, significance thresholds and which changes are reported here. Indicate if
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uploaded p-value, q-value, effect size or fold change and fold change reference.
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_**Example**_: Striatum gene expression differences between naive C57BL/6J and C57BL/6C
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substrains corresponding to a 5% FDR. A small number of genes are highly differentially
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expressed between B6 substrains, C57BL/6J (high alcohol consumption preference) and
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C57BL/6C (low alcohol consumption preference). Fold expression change are relative to
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B6/J.
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**Gene Set Contents**: Gene identifier and statistical score for differential
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expression, e.g. p-value, q-value, correlation coefficient, binary score, effect size or
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fold change.
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### Type of Data: Published QTL Candidate Gene List
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**Gene Set Name**: Description (name, Published QT Chr \# MGI:\#). _**Example**_:
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cocaine related behavior 10 (Cocrb10, Published QTL Chr \#)
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**Gene Set Figure Label**: (QTL-name-Organism-Chr \#). _**Example**_:
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QTL-Cocrb10-Mouse-Chr 9
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**Gene Set Description**: QTL Name Definition, candidate gene selection method (e.g. 1.5
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LOD drop; inter-marker interval). Exact description of phenotype. Strains used for
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mapping should be included. _**Example**_: Rats were subjected to a
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forced swim test (FST) procedure in which they are placed in water for 5 min, and their
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behavior was scored every 5 sec as immobility, climbing, or swimming. Data were analyzed
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for each activity with consideration given to their non-independence. p-value:0.0002,
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Variance: 3.6, Peak Marker: D5Rat40 (BLAT 16538053) Spans 1-41538053. This interval was
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obtained by using a fixed interval width of 25 Mbp around the peak marker. Strains were
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WKY/NHsd and F344/NHsd. Also defined as Imm3.
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**Gene Set Contents**: Gene identifier and binary score.
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### Type of Data: Co-Expression to Phenotype
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**Gene Set Name**: Describe tissue and phenotype correlated. _**Example**_: Cerebellum
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gene expression correlates of acetic acid writhing behavior in BXD recombinant inbred
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mice.
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**Gene Set Figure Label**: Co-expression writhing
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**Gene Set Description**: Indicate what the comparison was that was made and any
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statistical cut-offs that were used. _**Example**_: Cerebellum gene co-expression with
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acetic acid writhing in BXD RI mice. Gene expression data was obtained from
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genenetwork.org SJUT Cerebellum mRNA M430 (Mar05) RMA data set. Behavioral phenotype
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data was collected by RMQ and consisted of the number of writhes in response to 0.6%
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acetic acid i.p.
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**Gene Set Contents**: Gene identifier and statistical score for co-expression. e.g.
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R-squared, p-value, q-value, binary threshold.
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### Type of Data: Reference Ontology
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**Gene Set Name**: Term \# and name. _**Example**_: MP:XXXXXXX Abnormal.
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**Gene Set Figure Label**: Term \#. _**Example**_: Term \#
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**Gene Set Description**: Term Definition. _**Example**_: “Increase in the dose or
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concentration of a foreign compound required to induce a specific level of
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response” [www.informatics.jax.org](http://www.informatics.jax.org), 2010-12-01
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**Gene Set Contents**: All gene sets include genes, mutant alleles or gene products
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annotated to an ontology term by a professional curator. Each gene directly annotated to
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the term is given a score of 1, each gene connected to a term through annotations to its
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higher order parents is given a score of 2. To use only direct annotations in an
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analysis assign a threshold of < 2 to each Gene Set.
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### Type of Data: Co-Expression Clusters
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**Gene Set Name**: Co-Expression clusters. _**Example**_: Co-expression cluster of
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nicotine Dependence genes significantly expressed in the adolescent PFC, VS and
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Hippocampus.
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**Gene Set Figure Label**: Abbreviated description. _**Example**_: Adolesc Rat Nic
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Dependence
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**Gene Set Description**: Indicate what samples were compared and what was clustered.
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_**Example**_: Studies analyzing brain samples from female rats that had been injected
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with nicotine at four different ages show that nicotine exerts the greatest influence
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during adolescence. Using DNA microarrays, gene expression correlates were obtained from
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the prefrontal cortex (PFC), ventral striatum (VS), and hippocampus. Principal cluster
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analysis was then used to identify 76 genes that changed significantly in at least one
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of these three brain regions during the experiment.
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**Gene Set Contents**: Gene identifier and statistical score for cluster analysis or
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binary threshold.
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#### Type of Data: Genome Wide Association Study
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**Gene Set Name**: GWAS of ... _**Example**_: GWAS of Alcohol and Nicotine Dependence in
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Australian DNA-Pools.
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**Gene Set Figure Label**: Abbreviated description. _**Example**_: GWAS Alcohol Nicotine
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**Gene Set Description**: List of positional candidate genes after correcting for
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multiple testing and controlling the false discovery rate from genome wide association
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study. Represents genes associated with a linked cytological region or genes ‘near’ an
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associated SNP. _**Example**_: Genome-wide association study identifies a locus at
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7p15.2 associated with endometriosis.
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**Gene Set Contents**: Gene identifier and binary threshold.
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# **General Definitions**
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**Gene Set Name**: A brief title for the gene set, approximately sentence length, that
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should provide a clear and concise description of the contents of a gene set
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interpretable to most users of GeneWeaver, but with sufficient detail to satisfy a
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domain expert. This is the major gene set name that is displayed in all search results,
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project directory and table views of analysis results. Standards for specific gene set
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types are given in the following section.
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**Gene Set Figure Label**: A brief 23 character abbreviation to facilitate recognition
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of the gene set in a graph or other display.
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**Gene Set Description**: A detailed description of the gene set, including rules for
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its construction, experimental methods and analyses used to generate data, anatomical
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terms, and traceable references to source data including accession information and date.
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Abbreviations should be avoided.
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**Ontology Annotations**: Relevant terms from Disease Ontology, Mammalian Ontology and
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other OBO ontologies supplied by curators or identified through the application of the
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NCBO Annotator to textual descriptions including publication abstracts.
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**Publication Information**: PubMed ID, title, authors, publication information and
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full-text of the abstract.
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# **Standards for Common GeneSet Types**
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### Type of Data: Differential Expression Profiling
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**Gene Set Name**: Genes \[upregulated/downregulated/differentially expressed\] in
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\[tissue\] \[comparison\]. _**Example**_: Genes differentially expressed in striatum of
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C57Bl/6J compared to C57Bl/6C.
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Note: spell out anatomical terms as nouns, e.g. striatum, not striatal. Include complete
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strain names, e.g. C57BL/6J not B6.
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**Gene Set Figure Label**: B6JvsB6CStriatum
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**Gene Set Description**: Indicate which samples were compared. What experimental
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manipulations or tissue differences are being examined? Indicate statistical
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methodology, significance thresholds and which changes are reported here. Indicate if
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uploaded p-value, q-value, effect size or fold change and fold change reference.
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_**Example**_: Striatum gene expression differences between naive C57BL/6J and C57BL/6C
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substrains corresponding to a 5% FDR. A small number of genes are highly differentially
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expressed between B6 substrains, C57BL/6J (high alcohol consumption preference) and
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C57BL/6C (low alcohol consumption preference). Fold expression change are relative to
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B6/J.
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**Gene Set Contents**: Gene identifier and statistical score for differential
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expression, e.g. p-value, q-value, correlation coefficient, binary score, effect size or
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fold change.
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### Type of Data: Published QTL Candidate Gene List
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**Gene Set Name**: Description (name, Published QT Chr \# MGI:\#). _**Example**_:
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cocaine related behavior 10 (Cocrb10, Published QTL Chr \#)
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**Gene Set Figure Label**: (QTL-name-Organism-Chr \#). _**Example**_:
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QTL-Cocrb10-Mouse-Chr 9
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**Gene Set Description**: QTL Name Definition, candidate gene selection method (e.g. 1.5
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LOD drop; inter-marker interval). Exact description of phenotype. Strains used for
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mapping should be included. _**Example**_: Rats were subjected to a
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forced swim test (FST) procedure in which they are placed in water for 5 min, and their
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behavior was scored every 5 sec as immobility, climbing, or swimming. Data were analyzed
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for each activity with consideration given to their non-independence. p-value:0.0002,
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Variance: 3.6, Peak Marker: D5Rat40 (BLAT 16538053) Spans 1-41538053. This interval was
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obtained by using a fixed interval width of 25 Mbp around the peak marker. Strains were
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WKY/NHsd and F344/NHsd. Also defined as Imm3.
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**Gene Set Contents**: Gene identifier and binary score.
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### Type of Data: Co-Expression to Phenotype
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**Gene Set Name**: Describe tissue and phenotype correlated. _**Example**_: Cerebellum
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gene expression correlates of acetic acid writhing behavior in BXD recombinant inbred
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mice.
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**Gene Set Figure Label**: Co-expression writhing
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55+
**Gene Set Description**: Indicate what the comparison was that was made and any
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statistical cut-offs that were used. _**Example**_: Cerebellum gene co-expression with
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acetic acid writhing in BXD RI mice. Gene expression data was obtained from
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genenetwork.org SJUT Cerebellum mRNA M430 (Mar05) RMA data set. Behavioral phenotype
59+
data was collected by RMQ and consisted of the number of writhes in response to 0.6%
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acetic acid i.p.
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**Gene Set Contents**: Gene identifier and statistical score for co-expression. e.g.
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R-squared, p-value, q-value, binary threshold.
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### Type of Data: Reference Ontology
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**Gene Set Name**: Term \# and name. _**Example**_: MP:XXXXXXX Abnormal.
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**Gene Set Figure Label**: Term \#. _**Example**_: Term \#
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**Gene Set Description**: Term Definition. _**Example**_: “Increase in the dose or
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concentration of a foreign compound required to induce a specific level of
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response” [www.informatics.jax.org](http://www.informatics.jax.org), 2010-12-01
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**Gene Set Contents**: All gene sets include genes, mutant alleles or gene products
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annotated to an ontology term by a professional curator. Each gene directly annotated to
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the term is given a score of 1, each gene connected to a term through annotations to its
78+
higher order parents is given a score of 2. To use only direct annotations in an
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analysis assign a threshold of < 2 to each Gene Set.
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### Type of Data: Co-Expression Clusters
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**Gene Set Name**: Co-Expression clusters. _**Example**_: Co-expression cluster of
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nicotine Dependence genes significantly expressed in the adolescent PFC, VS and
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Hippocampus.
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**Gene Set Figure Label**: Abbreviated description. _**Example**_: Adolesc Rat Nic
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Dependence
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**Gene Set Description**: Indicate what samples were compared and what was clustered.
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_**Example**_: Studies analyzing brain samples from female rats that had been injected
92+
with nicotine at four different ages show that nicotine exerts the greatest influence
93+
during adolescence. Using DNA microarrays, gene expression correlates were obtained from
94+
the prefrontal cortex (PFC), ventral striatum (VS), and hippocampus. Principal cluster
95+
analysis was then used to identify 76 genes that changed significantly in at least one
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of these three brain regions during the experiment.
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**Gene Set Contents**: Gene identifier and statistical score for cluster analysis or
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binary threshold.
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#### Type of Data: Genome Wide Association Study
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**Gene Set Name**: GWAS of ... _**Example**_: GWAS of Alcohol and Nicotine Dependence in
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Australian DNA-Pools.
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**Gene Set Figure Label**: Abbreviated description. _**Example**_: GWAS Alcohol Nicotine
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**Gene Set Description**: List of positional candidate genes after correcting for
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multiple testing and controlling the false discovery rate from genome wide association
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study. Represents genes associated with a linked cytological region or genes ‘near’ an
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associated SNP. _**Example**_: Genome-wide association study identifies a locus at
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7p15.2 associated with endometriosis.
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**Gene Set Contents**: Gene identifier and binary threshold.

docs/web-application/batch-upload.md

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# Batch Gene Set Upload
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If you have many gene sets to upload, for example, the results of a clustering analysis,
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use the bulk upload form. An example of a bulk upload file is provided. Contact the
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GeneWeaver team for assistance with very large batch submissions and integration of
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large scale data resources.
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On the navigation bar, under "Manage GeneSets" select "Upload Batch GeneSets".
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![](../assets/images/Batch-upload-page.png)
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This page requires that a group is selected to curate the genesets. A private group can
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be used if the data will not become public. To learn why curation is necessary and how
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to curate go [here](../../reference/curation/).
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A sample upload file that includes the formatting rules is displayed on the page and a
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sample file may also be opened by clicking on the "Sample File" link.
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When your file is prepared, click on "Batch Upload File" to select it. Then click on "
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Review GeneSet Upload" to start the upload process.
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When completec, review the results of the upload and add annotations.
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See [gene set details](../view-genesets/#geneset-details-pages). To use your new gene
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set in analyses, you must add it to [projects](../projects/).
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docs/web-application/index.md

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docs/web-application/notifications.md

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**Notifications**
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=================
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Notifications are the mechanism GeneWeaver uses to send messages within the application.
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There is also an option to receive email for notifications, which can be controlled from
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the **[Account Settings](../users-and-groups/#accounts-page)** page.
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![](images/Image072.png)
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![](images/Image074.png)
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Regardless of whether a user has been configured to receive
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emails, they will always receive messages through the **Notifications** page. The fact
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that you have pending notifications will be noted in the menu bar by a red indicator
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over the envelope icon.
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![](images/Image076.png)
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The **Notifications** page itself is fairly straight forward listing the notifications
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that have not yet been seen in bold, and the rest of the notifications in normal font.
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There is a button at the bottom of the page that allows you to **Load More Notifications
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** so that you can get your full history of notifications.
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![](images/Image078.png)
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