diff --git a/docs/getting_started/index.md b/docs/getting_started/index.md index b585f766..dd45c61a 100644 --- a/docs/getting_started/index.md +++ b/docs/getting_started/index.md @@ -2,78 +2,106 @@ title: Re-Search made simple --- -
With CDA you search by harmonized, common language terms. Using simple language you can get information about the subjects, files, or specimens that you care about in a standard dataframe format (tsv) that you can open in Excel, integrate into a pipeline or upload to your favorite cloud resource.
Send your results to [Broad Institute FireCloud:octicons-link-external-16:](https://datacommons.cancer.gov/analytical-resource/broad-institute-firecloud){:target="_blank"} or [Velsera Cancer Genomics Cloud:octicons-link-external-16:](https://www.cancergenomicscloud.org/){:target="_blank"} for a complete cloud experience. Find the data you need, fetch all the files, and run your favorite bioinformatics pipeline *all without ever leaving your web browser.*
+## 🖥️ See it in action -- :fontawesome-brands-python:{ .lg .middle } __Power users__ +Search across datasets with one query: - --- +- Filter by disease type, demographics, or study +- View harmonized results across repositories +- Export data for downstream analysis - Install `cdapython` with `pip` and get up - and running in no time +👉 **Try a sample search:** +[Find adenocarcinoma subjects across datasets](interactive.html) - ```bash - pip3 uninstall -y cdapython; pip3 install git+https://github.com/CancerDataAggregator/cdapython.git@develop - python3 - ``` +--- - ```python - from cdapython import * - ``` +## 💡 Why use CDA? -- :fontawesome-brands-python:{ .lg .middle } __Code in the Cloud__ +CDA removes the hardest parts of finding cancer data: - --- +- 🔗 **Search multiple data commons at once** + No need to query each repository separately - Bring lists of files or subjects found with CDA to the [ISB Cancer Gateway in the Cloud (ISB-CGC):octicons-link-external-16:](https://isb-cgc.org/){:target="_blank"} to instantly access both associated derived data and raw files, for use in cloud processing pipelines -- either in your own preferred environment or using ISB-CGC's free Google Cloud Platform credits program. - Test it out on Google Colab - +- 🧠 **Harmonized data model** + Use consistent terms across datasets -- :simple-swagger:{ .lg .middle } __Developers__ +- ⚡ **From exploration to analysis quickly** + Move from search → notebook → pipeline - --- +- 🧪 **Flexible for all users** + Works for researchers, analysts, and developers - Are you building a metadata microservice? Connecting even more databases? Hosting a computational resource?Whatever your use case, CDA can help. +--- - [:octicons-arrow-right-24:**API documentation**](../documentation/developers/index.md) +## 🧭 What you can find -- :material-bell-alert-outline:{ .lg .middle } __What's new?__ +Use CDA to discover: - --- +- Subjects across studies +- Clinical and genomic data files +- Metadata across CRDC repositories +- Cohorts matching specific criteria - Recently Updated Pages: +--- - - [Data Release](../release_notes/data_updates.md) - - [Code Release](../release_notes/cdapython.md) +## 🚀 Start in 10 seconds -- :simple-mysql:{ .lg .middle } __Need even more data?__ +Not sure where to begin? - --- +👉 [Open interactive search with a pre-built example](interactive.html) +Explore adenocarcinoma datasets across repositories. - Do you dream of having a CDA database instance of your very own? Or CDA but bigger somehow? - We can make those dreams come true. Let's chat! +--- - :material-email: cancerdataaggregator `@` gmail +## 📚 Learn more +- [About CDA](about_us.html) +- [Data model](data_model.html) +- [Tutorials](tutorials.html) +- [API reference](api.html) +--- -
With CDA you search by harmonized, common language terms. Using simple language you can get information about the subjects, files, or specimens that you care about in a standard dataframe format (tsv) that you can open in Excel, integrate into a pipeline or upload to your favorite cloud resource.
Send your results to [Broad Institute FireCloud:octicons-link-external-16:](https://datacommons.cancer.gov/analytical-resource/broad-institute-firecloud){:target="_blank"} or [Velsera Cancer Genomics Cloud:octicons-link-external-16:](https://www.cancergenomicscloud.org/){:target="_blank"} for a complete cloud experience. Find the data you need, fetch all the files, and run your favorite bioinformatics pipeline *all without ever leaving your web browser.*
+## 🖥️ See it in action -- :fontawesome-brands-python:{ .lg .middle } __Power users__ +Search across datasets with one query: - --- +- Filter by disease type, demographics, or study +- View harmonized results across repositories +- Export data for downstream analysis - Install `cdapython` with `pip` and get up - and running in no time +👉 **Try a sample search:** +[Find adenocarcinoma subjects across datasets](interactive.html) - ```bash - pip3 uninstall -y cdapython; pip3 install git+https://github.com/CancerDataAggregator/cdapython.git@develop - python3 - ``` +--- - ```python - from cdapython import * - ``` +## 💡 Why use CDA? -- :fontawesome-brands-python:{ .lg .middle } __Code in the Cloud__ +CDA removes the hardest parts of finding cancer data: - --- +- 🔗 **Search multiple data commons at once** + No need to query each repository separately - Bring lists of files or subjects found with CDA to the [ISB Cancer Gateway in the Cloud (ISB-CGC):octicons-link-external-16:](https://isb-cgc.org/){:target="_blank"} to instantly access both associated derived data and raw files, for use in cloud processing pipelines -- either in your own preferred environment or using ISB-CGC's free Google Cloud Platform credits program. - Test it out on Google Colab - +- 🧠 **Harmonized data model** + Use consistent terms across datasets -- :simple-swagger:{ .lg .middle } __Developers__ +- ⚡ **From exploration to analysis quickly** + Move from search → notebook → pipeline - --- +- 🧪 **Flexible for all users** + Works for researchers, analysts, and developers - Are you building a metadata microservice? Connecting even more databases? Hosting a computational resource?Whatever your use case, CDA can help. +--- - [:octicons-arrow-right-24:**API documentation**](documentation/developers/) +## 🧭 What you can find -- :material-bell-alert-outline:{ .lg .middle } __What's new?__ +Use CDA to discover: - --- +- Subjects across studies +- Clinical and genomic data files +- Metadata across CRDC repositories +- Cohorts matching specific criteria - Recently Updated Pages: +--- - - [Data Release](release_notes/data_updates.md) - - [Code Release](release_notes/cdapython.md) +## 🚀 Start in 10 seconds -- :simple-mysql:{ .lg .middle } __Need even more data?__ +Not sure where to begin? - --- +👉 [Open interactive search with a pre-built example](interactive.html) +Explore adenocarcinoma datasets across repositories. - Do you dream of having a CDA database instance of your very own? Or CDA but bigger somehow? - We can make those dreams come true. Let's chat! +--- - :material-email: cancerdataaggregator `@` gmail +## 📚 Learn more +- [About CDA](about_us.html) +- [Data model](data_model.html) +- [Tutorials](tutorials.html) +- [API reference](api.html) +--- -