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Quick Start Guide

A workset is a batch of analysis inputs (sequencing libraries) to be processed together through a genomics pipeline. To submit a workset:

  1. Name your workset — Use a descriptive name like "ProjectX-Cohort1-Jan2024"
  2. Select pipeline & reference — Choose the analysis type and reference genome
  3. Provide a manifest — Upload a stage_samples.tsv file or select a saved manifest
  4. Configure options — Set priority, notifications, and QC preferences

1 Basic Information

Identify your workset and select the analysis pipeline. This information helps organize your results and ensures the correct processing workflow is applied.

A descriptive name for this processing job. Use alphanumeric characters, dashes, and underscores. This name will appear in your workset list and output files.

Test Help: Pipeline test run • SNV Only: SNV calling with bwa2a/dppl/deep19 • SNV + SV: Adds TIDDIT + Manta • Kitchensink: Full WGS analysis + MultiQC

GRCh38: Current standard • GRCh37: Legacy compatibility • T2T: Complete assembly

2 Input Files

Provide a manifest file that defines your analysis inputs. You can upload a new stage_samples.tsv file or select a previously saved manifest.

Best for: Advanced users with pre-configured sample sheets. Choose a saved manifest or upload a stage_samples.tsv that defines your analysis inputs and metadata.

Select a previously saved manifest from your account.

Manifest

0 samples


Click to upload your stage_samples.tsv manifest

Manifest Preview

0 samples detected

Need to create a manifest?

Use our Manifest Generator to create a stage_samples.tsv file from your registered files.

Open Manifest Generator

3 Processing Options

Configure execution priority, notifications, and output options for your workset.

Normal: Queue-based processing, typically starts within 1 hour
High: Dedicated resources, starts immediately
Low: Uses interruptible spot instances, may be delayed

Receive email notifications when your workset completes, fails, or requires attention.


Cluster Selection *

Select a compute cluster for workset execution. The S3 bucket for your workset data is determined by the cluster you select.

Choose a cluster in the same region as your data for optimal performance.


Output Options

Generate FastQC reports for individual samples and MultiQC summary reports. Recommended for all production runs.

Automatically move results to low-cost Glacier storage after 30 days. Reduces storage costs by ~80% while keeping data accessible.

Cost Estimate

Estimated costs based on your selected options. Actual costs may vary depending on data complexity and coverage depth.

Calculating estimate...

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Cost Breakdown
Compute: $0.00
Storage: $0.00
Data Transfer: $0.00
Priority Modifier: 1.0x

How costs are calculated: Base compute cost + storage + data transfer. High priority adds a 2x multiplier. Low priority uses spot pricing (~50% savings but may be interrupted). QC reports add ~5% to compute time. View detailed pricing.

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