Billing

Manage individual or organizational accounts, projects, and IDE expenses.

Data Ingest

Prepare your data, ingest it, and manage your pipeline.

Collaboration

Work on studies, share data and visualizations, and publish your findings as a publication or Data App.

Research

Find and access your research, store intermediate files, manage IDE state, and save results or visualizations.

IDEs, SDKs, Conda & AI/ML

Create and manage IDE packages and instances.

Visualizations

Create, save, and share data visualizations.

CertPro

Trace your data, methods, and environment as your work unfolds.

HISE Q&A and Troubleshooting Guide

Solutions to issues that often appear in help tickets.

Submit a Help Ticket

Guide to filling out our Support Request form.

What's New?

2026-01-21

Advanced Search Redesign

We've redesigned the HISE Advanced Search feature with an intuitive, filter-based interface. Instead of writing database queries, you start with a broad category (files, samples, or subjects) and then use filters to narrow your results. These dynamic filters are organized into logical groups, such as File Metadata, Sample Metadata, Subject Metadata, Lab Results, Surveys, and Custom Metadata.

First, choose one of the three basic search types described in the following table.

Search Types in HISE Advanced Search
Type	Description	Example
Files	Select at least one project and one file type, and then add a filter such as file name or file ID.	Find all UMAP files by adding the File Name filter with the contains term operator and umap as the value.
Samples	Select at least one project, then optionally filter by sample metadata such as Sample Kit GUID or Sample ID.	Find all samples from a specific kit by adding the Sample Kit GUID filter with the equals operator and KT02189 as the value.
Subjects	Select at least one project, then optionally filter by subject metadata such as Subject ID or demographics.	Find a specific subject by adding the Subject ID filter with the equals operator and FH1010 as the value.

Then add relevant filters. As you apply each additional filter, more granular, context-specific options appear. Each filter uses operators, like equals or contains term, paired with your chosen values. In the results window, after you select the results you want to keep, a floating options menu helps you move the results downstream:

Add files to an existing file set
Create a new file set
Send results to an IDE for analysis
Visualize results for specified file types

In the new Advanced Search, saved queries are regarded as research assets that document how your cohort or data set was defined. Sharing queries is as easy as copying a URL. You can make a query available to specified collaborators or to all account users. Queries are now unsaved and private by default, and adjusting their visibility doesn't affect underlying project data permissions.

For details, see the Release Notes. If you have questions about using Advanced Search, contact Support or see the following docs:

2025-12-16

New Upload Files Workflow UI to Support Fast Mode

The new upload files workflow UI improves visibility into upload_files (Python) | uploadFiles (R) calls for IDE instances associated with studies. This improvement supports the new Fast Mode option for upload files. However, you need not have Fast Mode enabled to use the new UI—it appears with every upload files call.

IDE Instances Page

A banner displays the number of upload files calls you're currently running:
- A REFRESH button on the banner updates the count and shows the time elapsed since last the refresh (but does not retry the call).
- A VIEW ALL CALLS button on the banner opens a list of upload files workflows for the associated study.

Upload Files List View

This view lists all upload files calls associated with a given study.
It includes the status and the date/time created and last modified (and by which user or service).
A VIEW DETAILS button in each row links to a workflow details view.

Workflow Details View

This graphic view of the workflow shows each step and its status, such as UPLOAD FILES TASK (SUCCEEDED) or IDE COMMIT (FAILED CAN RETRY).

It also shows when the upload files call was added and last modified (and by which user or service).

Hovering over a node displays logs showing subtasks with human-readable timestamps and the names of services used to execute each subtask.

2025-12-09

File Uploads Accelerated and New SDK Capabilities Launched

Uploads and SDK operations are now faster, more transparent, and easier to troubleshoot.
A new fast mode in upload_files() | uploadFiles cuts the typical upload time from 15–25 minutes down to 3–5 minutes by skipping the Conda build step.
The SDK now provides enhanced logging, as shown in the following example.

Additional structured logs and clearer error messages are available for all methods.
ProjectGuid now automatically attaches to all data.frame objects from read_samples() | readSamples(), read_files() | readFiles(), and get_file_descriptors | getFileDescriptors.
getFileDescriptors() supports lists of filter values, as in the following example, and performs significantly faster for large queries.

upload_file_to_private_folder() | uploadToPrivateFolder now runs asynchronously, reducing wait time.
Improved validation prevents upload failures caused by empty environment.yml files.
Additional prompt reminders, such as the following example, appear in upload_files() | uploadFiles when input_sample_ids are not provided.

"Please provide input of comma separated sample ids for the files being uploaded: "

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