Foreword¶
This training aims at introducing the concepts at the core of LabID design, as well as teaching users how to use common and advanced features.
Use a training instance
Follow this training using a training instance of LabID ( https://labid-demo.embl.de ) logging in as a trainee user (trainee1..100 e.g. trainee1), and the following password: 123456.
We advise against using a production instance as this will greatly pollute your database
Summary¶
Electronic Lab Notebook (ELN) and Lab Collections¶
| Title | Topics | Duration | Link |
|---|---|---|---|
| Overview | Inventory, Sample & Data Management, Concepts | 8min | |
| Electronic Lab Notebook (ELN) | |||
| Presentation | |||
| 1 - Explore Lab Notes | Create a note & explore functionalities | 25min | |
| 2 - Explore Protocols | Create a protocol & derive a lab note | 15min | |
| 3 - Explore Permissions & Lifecycle | Understand the different status of an experiment | 10min | |
| Lab Collection Management | |||
| Presentation | Consumable, Equipment & Storage Equipment | ||
| 1 - Create, Browse and Edit Items | Create collection items & explore functionalities | 45min | |
| 2 - Batch Operations | Batch create, edit and delete items | 30min | |
| Biomaterial Management | |||
| Presentation | |||
| 1 - Creation (and Lineage) | 25min | ||
| 2 - Sample Editor | 30min | ||
| 3 - Protocol List Templates | 15min | ||
| 4 - Batch Creation | 20min | Go | |
| 5 - Sample Merging | 15min | Go |
Dataset Management¶
| Title | Topics | Duration | Link |
|---|---|---|---|
| Dataset & Assay Management | |||
| Presentation | Assay, raw datasets | ||
| 1 - Registering Raw Datasets 101 (Imaging) | Imaging data, dataset loader, basics | 30min | |
| Presentation | Derived datasets | ||
| 2 - Registering Raw Datasets (Sequencing) | Paired-end sequencing data, dataset builder | 40min | |
| 3 - Post register operations | Renaming, batch edition, list view context | 20min | Go |
| 4 - Registering managed raw datasets (Sequencing) | Managed raw datasets, Genecore | 20min | |
| Sync data to Galaxy | Syncing data to a Galaxy instance for analysis | 40min | GO |
| Command Line Python Client (CLI) | |||
| 1 - CLI - 101 Getting Started | Setup, GET data | 15min | Go |
| 2 - CLI - Features | Export Study and call for collaborations | 15min | Go |