Refine description of Galaxy and Terra

Author: pvanheus

docs/recommendations.md

@@ -216,7 +216,7 @@ Overall, the INRB laptop approach was the primary outlier, with the other soluti
 
 Centralised on premises solutions (Nextflow - Ibadan, IRIDA, HPC) had different systems for data provenance and user control but all met the needs of their respective labs. Adding a web front end application (IRIDA) provided easy for users without additional complexity for administration. Indeed, the key complication for on premises solutions was the provisioning of the job processing systems, which required expert knowledge. Notably the HPC example uses a traditional HPC arrangement that was married to the HPC hardware making it difficult to switch to other resources for data processing (such as cloud) to scale up or down the resource.  There were different motivations for the different implementations, for instance the HPC on premises example was to utilise existing HPC resources while the IRIDA NVI example was to respond to data privacy and protection requirements. 
 
-Use of cloud platforms (Terra and UseGalaxy) were sometimes motivated by the lack of access to hardware or expertise to run such hardware required for bioinformatics analysis. UseGalaxy was fairly rigid with the options that were provided while there was more flexibility in the Terra platform for the user to bring in external analysis workflows. Conversely these platforms, being off-site, required a sufficient internet connection for initial upload of generated data.  As pre-existing platforms available to the public, these were ready for use for any lab with some initial user training and setup. These platforms also exemplify how certain features—such as ease of use or flexibility—can differ for end-users (analysts and public health laboratorians) vs administrators (group admins or managers), often on purpose.
+Use of cloud platforms (Terra and Galaxy) were sometimes motivated by the lack of access to hardware or expertise to run such hardware required for bioinformatics analysis. While both are cloud platforms, Galaxy and Terra differ in user interface, flexibility in terms of bioinformatics tools provided and mechanisms of workflow authoring and sharing. These platforms, being off-site, required a sufficient internet connection for initial upload of generated data.  As pre-existing platforms available to the public, these were ready for use for any lab with some initial user training and setup. These platforms also exemplify how certain features—such as ease of use or flexibility—can differ for end-users (analysts and public health laboratorians) vs administrators (group admins or managers), often on purpose.
 
 
 ## Discussion