Almaden Genomics
Almaden Genomics provides a cloud-native omics data analysis platform and professional informatics services to support genomic and multi-omics research. The platform offers a low-code/no-code visual workflow builder, pre-built and customizable analysis pipelines for NGS and single-cell data, integration of reference datasets and experimental data (e.g., eCLIP), containerized execution with provenance tracking for reproducibility, Jupyter notebook support for exploratory analysis, and managed data curation and governance services. The company has migrated the platform to common public cloud environments and works with academic and industry partners on application-specific workflows and pilot projects.
Industries
Nr. of Employees
small (1-50)
Almaden Genomics
Products
Cloud-native omics data analysis platform
A low-code/no-code platform that enables users to assemble, run, version-control and share bioinformatics workflows via a visual workflow builder, pre-built toolkits, and interactive reports; supports notebook integration and containerized execution.
Cloud-native omics data analysis platform
A low-code/no-code platform that enables users to assemble, run, version-control and share bioinformatics workflows via a visual workflow builder, pre-built toolkits, and interactive reports; supports notebook integration and containerized execution.
Services
Professional services for data ingestion, curation, harmonization, governance, and managed cloud informatics to support research, diagnostics, and drug discovery.
Hands-on bioinformatics support for experimental design, pipeline construction, execution, QC reporting, and results interpretation delivered via platform and consulting engagements.
Professional services for data ingestion, curation, harmonization, governance, and managed cloud informatics to support research, diagnostics, and drug discovery.
Hands-on bioinformatics support for experimental design, pipeline construction, execution, QC reporting, and results interpretation delivered via platform and consulting engagements.
Expertise Areas
- Cloud-based bioinformatics platforms
- Single-cell RNA-seq analysis and reference-based cell annotation
- Bulk RNA-seq processing and differential expression
- Splicing analysis and candidate prioritization workflows
Key Technologies
- Next-generation sequencing (NGS)
- Single-cell RNA sequencing (scRNA-seq)
- Bulk RNA sequencing (RNA-seq)
- Crosslinking-immunoprecipitation sequencing (eCLIP) and RBP-binding site mapping
News & Updates
Announcement of the company launch and availability of a low-code/no-code cloud platform for genomic workflows.
Platform updates adding end-to-end single-cell RNA-seq processing, clustering, reference-based annotation, and parallelized sample processing.
Introduction of a managed data management and informatics services business offering data curation, governance and custom pipelines for life sciences.
Major platform update adding analytics integration, support for workflow standards, UI improvements and tertiary analysis tools.
Test case demonstrating automated reference-based cell-type annotation of 10,000 PBMCs using reference libraries and templated notebooks; reports rapid annotation performance.
Video and case notes describing how a platform pipeline was used to prioritize candidate microRNA/Argonaute binding sites, integrate eCLIP data, and reduce candidate lists for experimental validation in a study of nuclear RNAi and splicing in colon cancer models.
Announcement of the company launch and availability of a low-code/no-code cloud platform for genomic workflows.
Platform updates adding end-to-end single-cell RNA-seq processing, clustering, reference-based annotation, and parallelized sample processing.
Introduction of a managed data management and informatics services business offering data curation, governance and custom pipelines for life sciences.
Major platform update adding analytics integration, support for workflow standards, UI improvements and tertiary analysis tools.
Test case demonstrating automated reference-based cell-type annotation of 10,000 PBMCs using reference libraries and templated notebooks; reports rapid annotation performance.
Video and case notes describing how a platform pipeline was used to prioritize candidate microRNA/Argonaute binding sites, integrate eCLIP data, and reduce candidate lists for experimental validation in a study of nuclear RNAi and splicing in colon cancer models.