Cloud-Based Bioinformatics for Immune Repertoire Analysis

用于免疫谱分析的基于云的生物信息学

• 批准号: 8642691
• 负责人: David Scott Johnson
• 金额: $ 113.52万
• 依托单位: GIGAGEN, INC.
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-08 至 2016-07-22
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8642691
• 关键词: Acute; Adoption; Applications Grants; Area; Autoimmune Diseases; B cell repertoire; Behavior; Bioinformatics; Capital; Charge; Clinical Research; Complementarity Determining Region III; Complex; Computational algorithm; Computer software; DNA Sequence; Data; Data Analyses; Data Set; Development; Diagnostic; Disease; Disease Progression; Doctor of Philosophy; Ensure; Fees; Foundations; Genes; Housing; Human; Imagery; Immune; Immune response; Immune system; Immunoglobulins; Immunology; Individual; Licensing; Methods; Monitor; Monoclonal Antibodies; Monte Carlo Method; Names; Online Systems; Patients; Phase; Price; Process; Publications; Quality Control; Research; Research Personnel; Resources; Sampling; Scientist; Sequence Analysis; Sequoia; Services; Small Business Innovation Research Grant; Specialist; T-Cell Receptor; T-Lymphocyte; Testing; Time; Translating; United States National Institutes of Health; Work; base; cancer immunotherapy; commercialization; complementarity-determining region 3; computerized data processing; computerized tools; computing resources; deep sequencing; empowered; innovation; meetings; next generation sequencing; product development; public health relevance; quality assurance; tool; usability; web site

PROJECT SUMMARY Project Title: Cloud-Based Bioinformatics for Immune Repertoire Analysis Organization: GigaGen Inc. PI: David S. Johnson, Ph.D. The Specific Aim of this Phase II SBIR grant application is to launch ClonoByte", a website and cloud-based platform for the processing, storage, analysis, comparison, and visualization of immune signature data sets generated by deep sequencing of immune repertoires. There is a rapidly growing demand for T cell receptor (TCR) and immunoglobulin (Ig) repertoire sequencing as a routine clinical and research practice, but the lack of computational resources and tools is blocking widespread adoption. There is thus a strong additional need for resources to translate immune repertoire data generated by NGS into a format useful to immunology researchers and clinicians. The innovation of our product is to enable researchers with little or no bioinformatics expertise or resources to analyze and interpret immune repertoire sequencing data using a cloud-based platform. In Phase I, we first built individual computational algorithms and components for processing, analysis, and visualization of immune repertoire data, particularly (i) primary processing of sequencing data for V/J gene identification and complementarity-determining region 3 (CDR3) extraction, (ii) calculation of sample oligoclonality and sample-sample similarity, (iii) visualization of comparisons of multiple data sets, and (iv) statistical significance testing of findings via a Monte Carlo method. We tested the computational modules with actual immune repertoire data generated in-house for internal research and for external customers. We then integrated several of the key components into the alpha version of ClonoByte". In Phase II, we will take the following steps to launch ClonoByte": (i) integrate remaining standalone computational modules into ClonoByte" for beta release; (ii) perform software quality control (QC) and quality assurance (QA) and front- end usability testing on ClonoByte" beta; and (iii) refine ClonoByte" beta to launch version. We will be successful if the website can achieve the following in the hands of end-users: (i) securely upload raw immune repertoire sequencing FASTQ files for automated primary processing; (ii) track abundance and expansion of clonotype sequences across multiple annotated data sets; and (iii) compare data sets on the basis of whole- repertoire similarity, sample diversity, and behavior of specific clonotypes. After Phase II, the website will be fully available for commercial use by immune repertoire researchers worldwide. GigaGen's pricing plan will be to offer free use of ClonoByte" for the first 10 samples, and then charge a $50/year subscription fee for users that upload more than 10 samples. Though ClonoByte" will enable analysis of immune repertoire sequencing data generated by most amplification kits or third-party services, GigaGen will use ClonoByte"'s best-in-class features and ease of use to promote its own GigaMune(R) lab services and amplification kits for immune repertoire sequencing.

项目总结