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Dashboard

The Dashboard shows all available workflows, organised into Data Workflows and AI Workflows. Select a pipeline to start your analysis.

MyImmune dashboard showing Available Workflows with Data and AI Workflow sections

PipelineDescription
FASTQ PipelineConvert FASTQ files to AIRR-formatted TSV files with V(D)J gene calls
SRA Data PipelineDownload data from SRA (Sequence Read Archive) and convert to AIRR format
Adaptive PipelineConvert data from Adaptive Biotechnologies’ immunoSEQ platform to AIRR format
TCR-to-AminoConvert TCR repertoire clonotype data (V/J gene calls plus CDR3 sequences) into germline amino acid sequences
Sequence SearchBulk BCR/TCR sequence search across multiple databases with numerous comparison metrics
Sequence AlignmentAlign paratope amino acid sequences using the IMGT numbering scheme to produce pseudo-sequences for downstream analysis

AI Workflows appear in the lower section of the dashboard. These pipelines build on processed AIRR data to perform clustering, stratification, and prediction tasks.

MyImmune dashboard showing AI Workflows section with Clustering, Diagnostic, Stratification, and Epitope Prediction pipelines

PipelineDescription
Clustering PipelineCluster BCR / TCR paratope sequences
Diagnostic PipelineRun foundational AI models for disease diagnostics and companion diagnostics
Stratification PipelineRun patient stratification models to classify responders from non-responders to a treatment
Epitope PredictionBulk epitope prediction from BCR sequences (paired and unpaired)

Experimental pipelines are under active development. Behavior may change without notice.

PipelineDescription
Single Sequence SearchSearch a single amino acid sequence against reference databases with interactive scoring and visualization
Single Epitope PredictionPredict epitope clusters for a single antibody by heavy and light chain sequences

Click on any card to open that pipeline’s job list. From there you can create a new job, view past runs, and manage presets.

The job list for each pipeline shows status (queued, running, success, failed) and updates automatically while jobs are running.