1. CellTypist: It is now available across all platforms for automated cell type annotation in single-cell RNA-seq data. It uses pre-trained machine learning models on curated datasets to deliver fast, standardized, and reproducible cell labeling. This is especially valuable for large-scale immunology and tissue profiling studies, reducing manual effort and subjectivity. 
2. GATK VariantToTable: Ability to transform raw VCF data into clean, structured tables. Select the INFO, FORMAT, or genotype fields you need, and the tool generates a ready-to-use CSV/TSV file for effortless filtering, visualization, and downstream analysis in Excel, R, and Python. The enhanced release is now available on all platforms.” 
3. GATK GenomicsDBImport: This tool designed to efficiently combine multiple gVCF files into a GenomicsDB workspace, enabling scalable joint genotyping. It organizes variant data in a tiled database format, which allows faster queries and reduces storage requirements compared to raw gVCFs. This step is typically performed before running GenotypeGVCFs in large cohort analyses. The updated version 4.6.2.0, now featuring a DB update option, is available across all platforms.
4. The MCmicro workflow: It is a scalable and reproducible pipeline for processing multiplexed tissue imaging data. It integrates tools for image registration, illumination correction, segmentation, and feature extraction. These tools produce high-quality single-cell spatial datasets and are designed for large-scale studies, MCmicro standardizes analysis across experiments, enabling downstream biological insights from multiplex imaging platforms. This updated workflow version, with existing models and support for custom models, is available on all platforms. 

1. scRNAseq Nextflow Workflow: An automated pipeline for processing single-cell RNA-seq data, handling steps like quality control, alignment or quantification, doublet detection, normalization, clustering, and trajectory analysis. It ensures reproducibility, scalability, and compatibility with tools like Cell Ranger, STARsolo, or Alevin, making it suitable for large-scale single-cell studies. 
2. rnavar Nextflow Workflow: It is a pipeline for variant calling from RNA-seq data, following GATK Best Practices. It performs quality control, alignment, duplicate marking, split-read handling, base recalibration, and variant calling using tools like STAR and GATK HaplotypeCaller. It also supports variant annotation and generates comprehensive reports, enabling accurate detection of SNPs and indels from RNA-seq experiments.

Enable Download Restrictions on Project Anytime

This release introduces the ability to apply download restrictions to a project retroactively. Earlier, the restrictions had to be set while creation of projects and cannot be modified at a later point of time. With this release, Admin/creators of project can modify the project settings to enable download restrictions anytime.  

 Improvements 

Download Restriction feature has been upgraded and is made applicable retroactively to existing projects, without recreating projects or migrating files.  

• The restriction is irreversible, ensuring consistent security policies.  

• Internal teams can support rollback based on requests, ensuring flexibility without compromising control and reducing time   

Outcome

Users can now turn on download restrictions on projects anytime through SBPLA UI/API without the need to migrate files or recreate a new project. This enables easier restriction of data access on the platform and aligns with security policies.  

Enabling new AWS families with GPU-enabled Instances on Data Studio

This release introduces adding new AWS families with GPU enabled Instances within Seven Bridges Data Studio. It enables users to perform advanced medical image visualization, segmentation, GPU acceleration and secure data integration.

Enabled AWS Instances on Data Studio

We’re thrilled to announce that we have enabled new AWS families with GPU enabled Instances on Data Studio to provide even more options for optimizing your computational workloads.

New AWS Instance Families Include:

Compute-Optimized: C7i, C6i
Memory-Optimized: R7i, R7iz, R6i, R6in, X2idn, X2iedn, X2iezn
General Purpose: M7i, M6i
GPU-Enabled: G6, G5

This update empowers researchers and analysts to execute high-performance computational tasks directly from Data Studio without external infrastructure setup.

It simplifies workflow execution, reducing processing time and improving efficiency for GPU-dependent applications.

Outcome

• Added support for NVIDIA GPU-enabled AWS EC2 instance families (e.g., G5, G6).

• Updated instance selection options in Data Studio to include GPU-compatible environments.

Bringing 3D Slicer as a Data Studio Analysis

3D Slicer Environment Availability

GPU-Enabled Instance Selection

End-to-End Imaging Analysis in One Platform

Secure, Compliant Cloud Environment

Outcome

Changes in the main navigation

The main navigation now features a Home button which returns you to the dashboard at any given point. In addition, the icon for accessing the account settings now shows your initials instead of the username.

Improved UX for Enterprise users

We have introduced a small change in order to improve and optimize the UX for the Enterprise users. The menu for accessing Divisions is now in the upper right hand side, right next to the Account Settings.

Somatic small variant callers for long read data, ClairS (0.2.0) and ClairS-TO (0.1.0) (for matched tumor-normal pairs and tumor-only data, respectively) have been published to the Seven Bridges Platform.

We have published the GCTA 1.94.1 tool on the Seven Bridges Platform. GCTA is a suite of tools for various genetic analyses using genome-wide data. GCTA (Genome-wide Complex Trait Analysis) was initially developed to estimate the proportion of phenotypic variance explained by all genome-wide SNPs for a complex trait but has been greatly extended for many other analyses of data from genome-wide association studies (GWASs)