AccuraScience
Bioinformatics and computational biology consultancy (founded 2013) providing senior-scientist-led analysis across genomics, transcriptomics, epigenomics, single-cell and spatial modalities, proteomics, metabolomics, microbiome, long-read sequencing, structural modeling, and machine-learning applications. Reports completion of 400+ projects for 180+ institutions. Offers customized, question-driven analyses, documented deliverables, secure data handling, and rapid quoting.
Industries
Nr. of Employees
small (1-50)
AccuraScience
Johnston, Iowa, United States, North America
Services
One-on-one consultation to define analysis goals, troubleshoot prior analyses, and design customized analytical strategies for academic and industry projects.
Comprehensive analyses covering short- and long-read sequencing, single-cell/spatial workflows, proteomics, metabolomics, microbiome, and multi-omics integration.
Development and validation of predictive models for biomarker discovery, disease subtyping, drug-response prediction, and image-based diagnostic pipelines.
Protein structure prediction and post-prediction refinement workflows for binding-interface modeling and annotation.
One-on-one consultation to define analysis goals, troubleshoot prior analyses, and design customized analytical strategies for academic and industry projects.
Comprehensive analyses covering short- and long-read sequencing, single-cell/spatial workflows, proteomics, metabolomics, microbiome, and multi-omics integration.
Development and validation of predictive models for biomarker discovery, disease subtyping, drug-response prediction, and image-based diagnostic pipelines.
Protein structure prediction and post-prediction refinement workflows for binding-interface modeling and annotation.
Expertise Areas
- Multi-omics integration
- Single-cell and spatial transcriptomics
- Genomics and variant analysis
- Long-read sequencing and hybrid assembly
Key Technologies
- Short-read sequencing
- Long-read sequencing
- RNA sequencing (bulk and single-cell)
- Single-cell multiome and scATAC-seq
News & Updates
A detailed article outlining nine common pitfalls in multi-omics integration and recommended analysis strategies to avoid bias, misalignment, and overinterpretation.
Reported completion of 400+ projects for 180+ research institutions since 2013.
A detailed article outlining nine common pitfalls in multi-omics integration and recommended analysis strategies to avoid bias, misalignment, and overinterpretation.
Reported completion of 400+ projects for 180+ research institutions since 2013.