Over the past few months we have been working on some exciting new features for Geneious Biologics. This includes:
- More Numbering Schemes for annotation, including:
- Chothia
- Martin
- AHo
- Kabat (numbering added)
- Streamlined Extract/Export Features
- Extract & Recluster
- Import Sequences from .csv and excel files
Numbering Schemes
Previously, Biologics supported CDR definitions and numbering for IMGT only. The CDRs could also be defined using Kabat, but numbering was not supported. We now support numbering and CDR definitions for Kabat, Chothia, Martin and AHo. See our main article for more information on the various numbering schemes, as well as an introduction to numbering schemes in general.
Streamlined Extract/Export
We have re-vamped our exporting process to allow for easier and more intelligent sequence extraction. The new Export/Extract functions allow you to trim and export translated regions as well as select representative sequences from the Cluster Tables. Please see our main article: Exporting Annotated Sequences and Sequence Tables for more details.
From the new Extract/Export dropdown you can now choose to export the translated or untranslated:
- V(D)J region(s)
- V(D)JC region(s)
- scFv region(s)
There are also additional options for extracting sequences from the Cluster Tables, including:
- Extract Representative Sequence (by Liability Score)
- Extract Representative Sequence (per Exact Cluster)
- Extract Representative Sequence (by count)
- Extract Clustered Region only
Extract & Recluster
This feature allows you to take a subset of sequences from a Biologics Annotator Result Document and create a new Biologics Annotator Result document with re-calculated clusters. It can be found in the Extract/Export dropdown. See our main article on this for more information: Extract and Recluster
Import Sequences from .csv and excel files
You can now import your sequences from .csv or .xlsx files. This includes importing sequences as paired chains when the heavy and light sequences can be found on the same row. See our main article on this for more information: Uploading Files