add docker hub

pages/your_tasks/data_analysis.md

@@ -98,7 +98,7 @@ In short containers works almost like a virtual machine (VMs), in that it re-cre
 * {% tool "udocker" %} and {% tool "podman" %} are also _user space_ alternatives that have compatible command line usage.
 * Large registries of community-provided container images are {% tool "podman" %} and [RedHat Quay.io](https://quay.io/search). These are often ready-to-go, not requiring any additional configuration or installations, allowing your application to quickly have access to open source server solutions.
 * {% tool "biocontainers" %} have a large selection of bioinformatics tools.
-* To customize a Docker image, it is possible to use techniques such as {% tool "volumes" %} to store data and {% tool "dockerfile-reference" %}. This is useful for installing your own application inside a new container image, based on a suitable _base image_ where you can do your `apt install` and software setup in a reproducible fashion - and share your own application as an image on Docker Hub.
+* To customize a Docker image, it is possible to use techniques such as {% tool "volumes" %} to store data and {% tool "dockerfile-reference" %}. This is useful for installing your own application inside a new container image, based on a suitable _base image_ where you can do your `apt install` and software setup in a reproducible fashion - and share your own application as an image on {% tool "docker-hub" %}.
 * Container linkage can be done by _container composition_ using tools like {% tool "docker-compose-overview" %}.
 * More advanced container deployment solutions like {% tool "kubernetes" %} and Computational Workflow Management systems can also manage cloud instances and handle analytical usage.
 * {% tool "openstack" %} is an open-source platform that uses pooled virtual resources to build and manage private and public clouds. It provides a stable base for deploying and managing containers, allowing for faster application deployment and simplified management.