|
| 1 | +--- |
| 2 | +title: Why use a cloud workspace for bioinformatics? |
| 3 | +description: An introduction to virtual machines, cloud computing, and why BioShell is a great starting point for life-science researchers and workshop participants. |
| 4 | +--- |
| 5 | + |
| 6 | +If you are new to bioinformatics or planning a workshop, this page explains what cloud |
| 7 | +computing is, when to use it, and why BioShell makes it easy to get started. |
| 8 | + |
| 9 | +--- |
| 10 | + |
| 11 | +## What is a virtual machine? {#what-is-a-vm} |
| 12 | + |
| 13 | +A virtual machine is a computer that runs inside another computer — delivered to you over the |
| 14 | +internet. You connect to it from your laptop or desktop, and it behaves like a full computer |
| 15 | +you have complete control over. You do not need to worry about your own hardware specs, |
| 16 | +operating system, or software installation. |
| 17 | + |
| 18 | +> Think of it like a fully-equipped lab bench that is always ready — you just sit down and |
| 19 | +> start working, then leave when you are done. The bench does not belong to you, but it is |
| 20 | +> set up exactly the way you need it. |
| 21 | +
|
| 22 | +With a virtual machine you can: |
| 23 | + |
| 24 | +- Get more computing power than your laptop for data analysis |
| 25 | +- Share the same environment with colleagues or workshop participants |
| 26 | +- Run long jobs overnight without worrying about power outages or closing your laptop |
| 27 | +- Use a Linux environment even if you normally use Windows or macOS |
| 28 | +- Have administrator access to install software and configure the system |
| 29 | +- Host services such as databases or web servers |
| 30 | + |
| 31 | +--- |
| 32 | + |
| 33 | +## Cloud vs HPC — which should I use? {#cloud-vs-hpc} |
| 34 | + |
| 35 | +Both cloud computing and High-Performance Computing (HPC) systems such as NCI Gadi are |
| 36 | +powerful research tools, but they suit different types of work. |
| 37 | + |
| 38 | +| | Cloud (BioShell) | HPC (e.g. NCI Gadi) | |
| 39 | +|--|-----------------|---------------------| |
| 40 | +| **Session type** | Interactive — work in real time | Batch — submit jobs and come back later | |
| 41 | +| **Interfaces** | JupyterLab, RStudio, CLI | CLI only (PBS/Slurm schedulers) | |
| 42 | +| **Setup required** | None — environment is preconfigured | Familiarity with job schedulers required | |
| 43 | +| **Best for** | Learning, workshops, exploratory analysis | Large-scale, tightly coupled, or long-running workloads | |
| 44 | +| **Scaling** | Flexible — choose your VM size on demand | Fixed allocations managed through project quotas | |
| 45 | + |
| 46 | +**Not sure which to use?** If you are learning bioinformatics, running a workshop, or |
| 47 | +exploring a new analysis, start with cloud. BioShell is the right choice. You can move to |
| 48 | +HPC later once your workflow is established and you need more compute power. |
| 49 | + |
| 50 | +--- |
| 51 | + |
| 52 | +## Why BioShell? {#why-bioshell} |
| 53 | + |
| 54 | +Getting started on the command line is often the hardest part. Software installs break. |
| 55 | +Environments differ between computers. Trainers spend hours configuring machines instead of |
| 56 | +teaching. BioShell solves this. |
| 57 | + |
| 58 | +| Feature | What it means for you | |
| 59 | +|---------|----------------------| |
| 60 | +| **Ready to use** | Over 20,000 bioinformatics tools and reference datasets available — no setup required | |
| 61 | +| **Consistent everywhere** | The same environment works identically on Nectar and NCI Nirin | |
| 62 | +| **Training-ready** | Trainers can provision dozens of identical machines for a workshop in minutes | |
| 63 | +| **Multiple interfaces** | Access via SSH, or use JupyterLab and RStudio in your browser | |
| 64 | +| **Reproducible** | Containerised software means your analysis works the same way today, next year, and on a colleague's machine | |
| 65 | +| **Safe to explore** | You have administrator access to your own VM — mistakes only affect your own instance | |
| 66 | + |
| 67 | +--- |
| 68 | + |
| 69 | +## How does BioShell fit with HPC? {#bioshell-and-hpc} |
| 70 | + |
| 71 | +BioShell is not a replacement for large-scale HPC — it complements it. Think of it as the |
| 72 | +place where you learn, develop, and test your workflows before scaling up. |
| 73 | + |
| 74 | +1. **Learn and explore on BioShell** — get comfortable with the command line, tools, and |
| 75 | + your data in a low-pressure environment. |
| 76 | +2. **Develop and test your workflow** — build and validate your Nextflow or Snakemake |
| 77 | + pipeline using BioShell's pre-installed tools and example datasets. |
| 78 | +3. **Scale up to HPC when ready** — once your workflow is confirmed and your data needs are |
| 79 | + clear, move to NCI Gadi or another HPC system for large-scale runs. |
| 80 | + |
| 81 | +--- |
| 82 | + |
| 83 | +## Ready to get started? {#get-started} |
| 84 | + |
| 85 | +BioShell is available to Australian life-science researchers, trainers, and developers |
| 86 | +through [ABLeS](https://australianbiocommons.github.io/ables/). Access is free — you just |
| 87 | +need to be affiliated with an Australian research organisation. |
| 88 | + |
| 89 | +[Check your eligibility and apply →](access#eligibility) |
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