{"id":56543,"date":"2025-12-10T08:33:34","date_gmt":"2025-12-10T08:33:34","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=56543"},"modified":"2026-02-21T08:29:57","modified_gmt":"2026-02-21T08:29:57","slug":"top-10-genomics-analysis-pipelines-features-pros-cons-comparison","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/top-10-genomics-analysis-pipelines-features-pros-cons-comparison\/","title":{"rendered":"Top 10 Genomics Analysis Pipelines: Features, Pros, Cons & Comparison"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Introduction<\/strong><\/h2>\n\n\n\n

Genomics Analysis Pipelines are structured, automated workflows designed to process raw sequencing data into meaningful biological insights. They handle complex steps such as quality control, read alignment, variant calling, annotation, and interpretation\u2014tasks that would otherwise be time-consuming, error-prone, and difficult to reproduce. As sequencing technologies become faster and more affordable, the volume of genomic data has exploded, making robust pipelines essential rather than optional.<\/p>\n\n\n\n

These pipelines play a critical role across research, clinical diagnostics, drug discovery, agriculture, and population genomics<\/strong>. From identifying disease-causing variants to tracking pathogen outbreaks and enabling precision medicine, genomics pipelines help transform massive datasets into actionable outcomes. Modern solutions also emphasize reproducibility, scalability, security, and compliance<\/strong>, especially in regulated environments.<\/p>\n\n\n\n

When evaluating Genomics Analysis Pipelines, users should focus on workflow flexibility, supported data types, scalability, ease of use, integration with cloud or HPC environments, security controls, and community or vendor support<\/strong>. The right pipeline accelerates discovery while reducing operational friction and technical risk.<\/p>\n\n\n\n

Best for:<\/strong>
Genomics Analysis Pipelines are ideal for bioinformaticians, computational biologists, clinical geneticists, pharma R&D teams, academic researchers, and biotech companies<\/strong> working with NGS, WGS, WES, RNA-seq, or metagenomics data.<\/p>\n\n\n\n

Not ideal for:<\/strong>
They may be excessive for very small labs with minimal sequencing output, teams without any bioinformatics capability, or projects requiring only simple, one-off analyses<\/strong>, where lightweight tools or outsourced services may be more practical.<\/p>\n\n\n\n

\n\n\n\n

Top 10 Genomics Analysis Pipelines Tools<\/strong><\/h2>\n\n\n\n
\n\n\n\n

1 \u2014 GATK (Genome Analysis Toolkit)<\/strong><\/h3>\n\n\n\n

Short description:<\/strong>
A widely adopted genomics analysis framework focused on high-accuracy variant discovery. Commonly used in research and clinical genomics.<\/p>\n\n\n\n

Key features:<\/strong><\/p>\n\n\n\n

    \n
  • Best-practice workflows for germline and somatic variant calling<\/li>\n\n\n\n
  • Robust quality control and recalibration steps<\/li>\n\n\n\n
  • Supports WGS and WES data<\/li>\n\n\n\n
  • Highly reproducible pipeline design<\/li>\n\n\n\n
  • Optimized for large-scale datasets<\/li>\n\n\n\n
  • Extensive documentation and examples<\/li>\n<\/ul>\n\n\n\n

    Pros:<\/strong><\/p>\n\n\n\n

      \n
    • Gold standard for variant analysis<\/li>\n\n\n\n
    • Strong scientific validation<\/li>\n\n\n\n
    • Highly configurable for advanced users<\/li>\n<\/ul>\n\n\n\n

      Cons:<\/strong><\/p>\n\n\n\n

        \n
      • Steep learning curve for beginners<\/li>\n\n\n\n
      • Resource-intensive for large datasets<\/li>\n<\/ul>\n\n\n\n

        Security & compliance:<\/strong>
        Varies \/ N\/A (depends on deployment environment)<\/p>\n\n\n\n

        Support & community:<\/strong>
        Large global community, excellent documentation, active forums, enterprise support available via partners<\/p>\n\n\n\n

        \n\n\n\n

        2 \u2014 nf-core Pipelines<\/strong><\/h3>\n\n\n\n

        Short description:<\/strong>
        A community-driven collection of standardized, peer-reviewed genomics pipelines built on Nextflow.<\/p>\n\n\n\n

        Key features:<\/strong><\/p>\n\n\n\n

          \n
        • Reproducible and versioned workflows<\/li>\n\n\n\n
        • Broad coverage (RNA-seq, ChIP-seq, WGS, metagenomics)<\/li>\n\n\n\n
        • Containerized execution<\/li>\n\n\n\n
        • Cloud and HPC compatibility<\/li>\n\n\n\n
        • Strong quality assurance standards<\/li>\n\n\n\n
        • Transparent pipeline development<\/li>\n<\/ul>\n\n\n\n

          Pros:<\/strong><\/p>\n\n\n\n

            \n
          • Extremely reproducible<\/li>\n\n\n\n
          • Strong community governance<\/li>\n\n\n\n
          • Rapid adoption of best practices<\/li>\n<\/ul>\n\n\n\n

            Cons:<\/strong><\/p>\n\n\n\n

              \n
            • Requires workflow engine knowledge<\/li>\n\n\n\n
            • Customization can be complex<\/li>\n<\/ul>\n\n\n\n

              Security & compliance:<\/strong>
              Varies \/ N\/A (inherits infrastructure security)<\/p>\n\n\n\n

              Support & community:<\/strong>
              Very active open-source community, detailed docs, Slack and GitHub support<\/p>\n\n\n\n

              \n\n\n\n

              3 \u2014 Galaxy<\/strong><\/h3>\n\n\n\n

              Short description:<\/strong>
              A web-based platform enabling accessible genomics analysis without deep programming expertise.<\/p>\n\n\n\n

              Key features:<\/strong><\/p>\n\n\n\n

                \n
              • Intuitive graphical interface<\/li>\n\n\n\n
              • Hundreds of integrated bioinformatics tools<\/li>\n\n\n\n
              • Workflow creation and sharing<\/li>\n\n\n\n
              • Data provenance tracking<\/li>\n\n\n\n
              • Supports many omics data types<\/li>\n\n\n\n
              • Public and private deployment options<\/li>\n<\/ul>\n\n\n\n

                Pros:<\/strong><\/p>\n\n\n\n

                  \n
                • Beginner-friendly<\/li>\n\n\n\n
                • Strong emphasis on reproducibility<\/li>\n\n\n\n
                • Minimal coding required<\/li>\n<\/ul>\n\n\n\n

                  Cons:<\/strong><\/p>\n\n\n\n

                    \n
                  • Performance can lag for very large datasets<\/li>\n\n\n\n
                  • Limited customization for advanced users<\/li>\n<\/ul>\n\n\n\n

                    Security & compliance:<\/strong>
                    Varies \/ N\/A (self-hosted deployments can be secured)<\/p>\n\n\n\n

                    Support & community:<\/strong>
                    Large academic community, extensive tutorials, training materials available<\/p>\n\n\n\n

                    \n\n\n\n

                    4\u2014 Seven Bridges<\/strong><\/h3>\n\n\n\n

                    Short description:<\/strong>
                    A commercial, cloud-native genomics analysis platform designed for regulated and large-scale environments.<\/p>\n\n\n\n

                    Key features:<\/strong><\/p>\n\n\n\n

                      \n
                    • Visual and code-based workflow design<\/li>\n\n\n\n
                    • Scalable cloud execution<\/li>\n\n\n\n
                    • Integrated data management<\/li>\n\n\n\n
                    • Collaborative analysis environment<\/li>\n\n\n\n
                    • Audit trails and version control<\/li>\n\n\n\n
                    • Clinical-grade analytics<\/li>\n<\/ul>\n\n\n\n

                      Pros:<\/strong><\/p>\n\n\n\n

                        \n
                      • Enterprise-ready<\/li>\n\n\n\n
                      • Excellent scalability<\/li>\n\n\n\n
                      • Strong compliance posture<\/li>\n<\/ul>\n\n\n\n

                        Cons:<\/strong><\/p>\n\n\n\n

                          \n
                        • Premium pricing<\/li>\n\n\n\n
                        • Vendor dependency<\/li>\n<\/ul>\n\n\n\n

                          Security & compliance:<\/strong>
                          Supports encryption, audit logs, GDPR, HIPAA, ISO standards<\/p>\n\n\n\n

                          Support & community:<\/strong>
                          Professional onboarding, enterprise support, strong documentation<\/p>\n\n\n\n

                          \n\n\n\n

                          5 \u2014 DNAnexus<\/strong><\/h3>\n\n\n\n

                          Short description:<\/strong>
                          A secure, cloud-based genomics platform supporting research and clinical pipelines at scale.<\/p>\n\n\n\n

                          Key features:<\/strong><\/p>\n\n\n\n

                            \n
                          • End-to-end genomics workflow management<\/li>\n\n\n\n
                          • Cloud scalability<\/li>\n\n\n\n
                          • Collaboration and data sharing<\/li>\n\n\n\n
                          • Workflow automation<\/li>\n\n\n\n
                          • Integrated analysis apps<\/li>\n\n\n\n
                          • Strong compliance controls<\/li>\n<\/ul>\n\n\n\n

                            Pros:<\/strong><\/p>\n\n\n\n

                              \n
                            • Highly secure<\/li>\n\n\n\n
                            • Scales well for enterprise use<\/li>\n\n\n\n
                            • Robust collaboration features<\/li>\n<\/ul>\n\n\n\n

                              Cons:<\/strong><\/p>\n\n\n\n

                                \n
                              • Less flexible for custom pipelines<\/li>\n\n\n\n
                              • Higher cost for small teams<\/li>\n<\/ul>\n\n\n\n

                                Security & compliance:<\/strong>
                                SOC 2, HIPAA, GDPR, encryption, audit logging<\/p>\n\n\n\n

                                Support & community:<\/strong>
                                Enterprise-level support, onboarding services, documentation<\/p>\n\n\n\n

                                \n\n\n\n

                                6 \u2014 Nextflow<\/strong><\/h3>\n\n\n\n

                                Short description:<\/strong>
                                A workflow orchestration engine widely used to build portable and scalable genomics pipelines.<\/p>\n\n\n\n

                                Key features:<\/strong><\/p>\n\n\n\n

                                  \n
                                • Workflow versioning<\/li>\n\n\n\n
                                • Cloud and HPC support<\/li>\n\n\n\n
                                • Container and conda integration<\/li>\n\n\n\n
                                • Highly scalable execution<\/li>\n\n\n\n
                                • Strong reproducibility<\/li>\n\n\n\n
                                • Language-agnostic tool integration<\/li>\n<\/ul>\n\n\n\n

                                  Pros:<\/strong><\/p>\n\n\n\n

                                    \n
                                  • Extremely flexible<\/li>\n\n\n\n
                                  • Strong ecosystem<\/li>\n\n\n\n
                                  • Excellent scalability<\/li>\n<\/ul>\n\n\n\n

                                    Cons:<\/strong><\/p>\n\n\n\n

                                      \n
                                    • Requires scripting skills<\/li>\n\n\n\n
                                    • No built-in UI<\/li>\n<\/ul>\n\n\n\n

                                      Security & compliance:<\/strong>
                                      Varies \/ N\/A<\/p>\n\n\n\n

                                      Support & community:<\/strong>
                                      Active developer community, detailed documentation, commercial support available<\/p>\n\n\n\n

                                      \n\n\n\n

                                      7 \u2014 Snakemake<\/strong><\/h3>\n\n\n\n

                                      Short description:<\/strong>
                                      A Python-based workflow management system for reproducible genomics and bioinformatics pipelines.<\/p>\n\n\n\n

                                      Key features:<\/strong><\/p>\n\n\n\n

                                        \n
                                      • Simple rule-based workflow definitions<\/li>\n\n\n\n
                                      • Native Python integration<\/li>\n\n\n\n
                                      • Supports HPC and cloud<\/li>\n\n\n\n
                                      • Automatic dependency resolution<\/li>\n\n\n\n
                                      • Version control friendly<\/li>\n\n\n\n
                                      • Lightweight setup<\/li>\n<\/ul>\n\n\n\n

                                        Pros:<\/strong><\/p>\n\n\n\n

                                          \n
                                        • Easy to learn for Python users<\/li>\n\n\n\n
                                        • Highly transparent workflows<\/li>\n\n\n\n
                                        • Flexible design<\/li>\n<\/ul>\n\n\n\n

                                          Cons:<\/strong><\/p>\n\n\n\n

                                            \n
                                          • Less enterprise tooling<\/li>\n\n\n\n
                                          • Limited GUI options<\/li>\n<\/ul>\n\n\n\n

                                            Security & compliance:<\/strong>
                                            Varies \/ N\/A<\/p>\n\n\n\n

                                            Support & community:<\/strong>
                                            Strong academic adoption, good documentation, community forums<\/p>\n\n\n\n

                                            \n\n\n\n

                                            8 \u2014 BaseSpace Sequence Hub<\/strong><\/h3>\n\n\n\n

                                            Short description:<\/strong>
                                            A genomics analysis environment tightly integrated with sequencing instruments and cloud analytics.<\/p>\n\n\n\n

                                            Key features:<\/strong><\/p>\n\n\n\n

                                              \n
                                            • Seamless data ingestion from sequencers<\/li>\n\n\n\n
                                            • Prebuilt analysis pipelines<\/li>\n\n\n\n
                                            • Cloud-based storage and compute<\/li>\n\n\n\n
                                            • Collaboration features<\/li>\n\n\n\n
                                            • App ecosystem<\/li>\n\n\n\n
                                            • Automated reporting<\/li>\n<\/ul>\n\n\n\n

                                              Pros:<\/strong><\/p>\n\n\n\n

                                                \n
                                              • Easy instrument integration<\/li>\n\n\n\n
                                              • Minimal setup required<\/li>\n\n\n\n
                                              • Reliable performance<\/li>\n<\/ul>\n\n\n\n

                                                Cons:<\/strong><\/p>\n\n\n\n

                                                  \n
                                                • Limited customization<\/li>\n\n\n\n
                                                • Vendor-centric ecosystem<\/li>\n<\/ul>\n\n\n\n

                                                  Security & compliance:<\/strong>
                                                  Encryption, GDPR, HIPAA support<\/p>\n\n\n\n

                                                  Support & community:<\/strong>
                                                  Vendor support, documentation, onboarding assistance<\/p>\n\n\n\n

                                                  \n\n\n\n

                                                  9 \u2014 Terra<\/strong><\/h3>\n\n\n\n

                                                  Short description:<\/strong>
                                                  A collaborative, cloud-native platform for large-scale biomedical data analysis.<\/p>\n\n\n\n

                                                  Key features:<\/strong><\/p>\n\n\n\n

                                                    \n
                                                  • Workspace-based collaboration<\/li>\n\n\n\n
                                                  • Workflow execution at scale<\/li>\n\n\n\n
                                                  • Data sharing and access controls<\/li>\n\n\n\n
                                                  • Supports standardized pipelines<\/li>\n\n\n\n
                                                  • Interactive analysis environments<\/li>\n\n\n\n
                                                  • Versioned workflows<\/li>\n<\/ul>\n\n\n\n

                                                    Pros:<\/strong><\/p>\n\n\n\n

                                                      \n
                                                    • Designed for large research consortia<\/li>\n\n\n\n
                                                    • Strong collaboration tools<\/li>\n\n\n\n
                                                    • Scales well<\/li>\n<\/ul>\n\n\n\n

                                                      Cons:<\/strong><\/p>\n\n\n\n

                                                        \n
                                                      • Requires cloud expertise<\/li>\n\n\n\n
                                                      • Less suitable for small labs<\/li>\n<\/ul>\n\n\n\n

                                                        Security & compliance:<\/strong>
                                                        Encryption, access controls, GDPR-aligned<\/p>\n\n\n\n

                                                        Support & community:<\/strong>
                                                        Research-focused community, documentation, institutional support<\/p>\n\n\n\n

                                                        \n\n\n\n

                                                        10 \u2014 CLC Genomics Workbench<\/strong><\/h3>\n\n\n\n

                                                        Short description:<\/strong>
                                                        A commercial desktop and server-based solution offering end-to-end genomics analysis with a visual interface.<\/p>\n\n\n\n

                                                        Key features:<\/strong><\/p>\n\n\n\n

                                                          \n
                                                        • Graphical workflow design<\/li>\n\n\n\n
                                                        • Variant analysis and visualization<\/li>\n\n\n\n
                                                        • RNA-seq and metagenomics support<\/li>\n\n\n\n
                                                        • Integrated reporting<\/li>\n\n\n\n
                                                        • Plugin ecosystem<\/li>\n\n\n\n
                                                        • Local and server deployment<\/li>\n<\/ul>\n\n\n\n

                                                          Pros:<\/strong><\/p>\n\n\n\n

                                                            \n
                                                          • User-friendly UI<\/li>\n\n\n\n
                                                          • Strong visualization tools<\/li>\n\n\n\n
                                                          • Suitable for non-coders<\/li>\n<\/ul>\n\n\n\n

                                                            Cons:<\/strong><\/p>\n\n\n\n

                                                              \n
                                                            • Licensing cost<\/li>\n\n\n\n
                                                            • Limited scalability compared to cloud-native tools<\/li>\n<\/ul>\n\n\n\n

                                                              Security & compliance:<\/strong>
                                                              Varies \/ N\/A (depends on deployment)<\/p>\n\n\n\n

                                                              Support & community:<\/strong>
                                                              Vendor documentation, training, professional support<\/p>\n\n\n\n

                                                              \n\n\n\n

                                                              Comparison Table<\/strong><\/h2>\n\n\n\n
                                                              Tool Name<\/th>Best For<\/th>Platform(s) Supported<\/th>Standout Feature<\/th>Rating<\/th><\/tr><\/thead>
                                                              GATK<\/td>Clinical & research variant analysis<\/td>Linux, Cloud<\/td>Variant calling accuracy<\/td>N\/A<\/td><\/tr>
                                                              nf-core<\/td>Standardized research pipelines<\/td>Cloud, HPC<\/td>Community-validated workflows<\/td>N\/A<\/td><\/tr>
                                                              Galaxy<\/td>Beginner-friendly analysis<\/td>Web, Local<\/td>No-code workflows<\/td>N\/A<\/td><\/tr>
                                                              Seven Bridges<\/td>Enterprise genomics<\/td>Cloud<\/td>Compliance-ready pipelines<\/td>N\/A<\/td><\/tr>
                                                              DNAnexus<\/td>Secure clinical research<\/td>Cloud<\/td>Security & collaboration<\/td>N\/A<\/td><\/tr>
                                                              Nextflow<\/td>Custom scalable pipelines<\/td>Cloud, HPC<\/td>Portability & scalability<\/td>N\/A<\/td><\/tr>
                                                              Snakemake<\/td>Python-centric workflows<\/td>Local, HPC<\/td>Simplicity & transparency<\/td>N\/A<\/td><\/tr>
                                                              BaseSpace<\/td>Sequencer-centric labs<\/td>Cloud<\/td>Instrument integration<\/td>N\/A<\/td><\/tr>
                                                              Terra<\/td>Large consortia<\/td>Cloud<\/td>Collaborative workspaces<\/td>N\/A<\/td><\/tr>
                                                              CLC Genomics<\/td>Visual genomics analysis<\/td>Desktop, Server<\/td>GUI-driven workflows<\/td>N\/A<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                              \n\n\n\n

                                                              Evaluation & Scoring of Genomics Analysis Pipelines<\/strong><\/h2>\n\n\n\n
                                                              Tool<\/th>Core Features (25%)<\/th>Ease of Use (15%)<\/th>Integrations (15%)<\/th>Security (10%)<\/th>Performance (10%)<\/th>Support (10%)<\/th>Price\/Value (15%)<\/th>Total Score<\/th><\/tr><\/thead>
                                                              GATK<\/td>9<\/td>6<\/td>7<\/td>6<\/td>8<\/td>8<\/td>7<\/td>7.5<\/td><\/tr>
                                                              nf-core<\/td>8<\/td>7<\/td>8<\/td>6<\/td>8<\/td>9<\/td>9<\/td>8.1<\/td><\/tr>
                                                              Galaxy<\/td>7<\/td>9<\/td>6<\/td>6<\/td>6<\/td>8<\/td>8<\/td>7.4<\/td><\/tr>
                                                              Seven Bridges<\/td>9<\/td>8<\/td>8<\/td>9<\/td>9<\/td>8<\/td>6<\/td>8.2<\/td><\/tr>
                                                              DNAnexus<\/td>8<\/td>7<\/td>8<\/td>9<\/td>8<\/td>8<\/td>6<\/td>7.9<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                              \n\n\n\n

                                                              Which Genomics Analysis Pipelines Tool Is Right for You?<\/strong><\/h2>\n\n\n\n
                                                                \n
                                                              • Solo users & small labs:<\/strong> Galaxy, Snakemake, CLC Genomics Workbench<\/li>\n\n\n\n
                                                              • SMBs & academic groups:<\/strong> nf-core, Nextflow, GATK<\/li>\n\n\n\n
                                                              • Mid-market & enterprise:<\/strong> Seven Bridges, DNAnexus, Terra<\/li>\n\n\n\n
                                                              • Budget-conscious teams:<\/strong> Open-source pipelines with HPC or cloud credits<\/li>\n\n\n\n
                                                              • Compliance-driven organizations:<\/strong> DNAnexus or Seven Bridges<\/li>\n\n\n\n
                                                              • Maximum flexibility:<\/strong> Nextflow or Snakemake<\/li>\n<\/ul>\n\n\n\n
                                                                \n\n\n\n

                                                                Frequently Asked Questions (FAQs)<\/strong><\/h2>\n\n\n\n

                                                                1. What is a genomics analysis pipeline?<\/strong>
                                                                It is an automated workflow that converts raw sequencing data into analyzed, interpretable results.<\/p>\n\n\n\n

                                                                2. Do I need programming skills?<\/strong>
                                                                Not always. Tools like Galaxy and CLC offer graphical interfaces, while others require scripting.<\/p>\n\n\n\n

                                                                3. Are these pipelines suitable for clinical use?<\/strong>
                                                                Some are, but clinical deployment requires validation, compliance, and regulatory alignment.<\/p>\n\n\n\n

                                                                4. Can pipelines run on the cloud?<\/strong>
                                                                Yes. Many modern pipelines are cloud-native or cloud-compatible.<\/p>\n\n\n\n

                                                                5. How important is reproducibility?<\/strong>
                                                                Critical. Reproducibility ensures consistent results across runs and environments.<\/p>\n\n\n\n

                                                                6. Are open-source tools reliable?<\/strong>
                                                                Yes, many are industry-standard and heavily peer-reviewed.<\/p>\n\n\n\n

                                                                7. What datasets are supported?<\/strong>
                                                                Most support WGS, WES, RNA-seq, and metagenomics.<\/p>\n\n\n\n

                                                                8. How do I choose between Nextflow and Snakemake?<\/strong>
                                                                Choose based on team skills and infrastructure preferences.<\/p>\n\n\n\n

                                                                9. Are these tools scalable?<\/strong>
                                                                Cloud-based and workflow-oriented tools scale extremely well.<\/p>\n\n\n\n

                                                                10. What is the biggest mistake buyers make?<\/strong>
                                                                Choosing complexity over usability or ignoring long-term scalability.<\/p>\n\n\n\n

                                                                \n\n\n\n

                                                                Conclusion<\/strong><\/h2>\n\n\n\n

                                                                Genomics Analysis Pipelines are foundational to modern biological research and precision medicine. The right solution can dramatically improve accuracy, speed, and reproducibility while reducing operational burden. There is no single best tool for everyone<\/strong>\u2014the optimal choice depends on your data volume, technical expertise, compliance needs, and budget<\/strong>. By carefully aligning pipeline capabilities with real-world requirements, teams can unlock the full potential of genomic data and accelerate meaningful discoveries.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                Introduction Genomics Analysis Pipelines are structured, automated workflows designed to process raw sequencing data into meaningful biological insights. They handle complex steps such as quality control, read alignment, variant calling,… <\/p>\n","protected":false},"author":58,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[11138],"tags":[18125,18113,18119,18123,18117,18114,18126,18116,18115,18120,18124,18118,18122,18121],"class_list":["post-56543","post","type-post","status-publish","format-standard","hentry","category-best-tools","tag-bioinformatics-automation-tools","tag-bioinformatics-workflow-tools","tag-clinical-genomics-pipelines","tag-cloud-genomics-analysis","tag-genomic-data-analysis-software","tag-genomics-analysis-pipelines","tag-genomics-workflow-management","tag-next-generation-sequencing-analysis","tag-ngs-data-processing-pipelines","tag-rna-sequencing-analysis-tools","tag-scalable-genomics-platforms","tag-variant-calling-pipelines","tag-whole-exome-sequencing-pipelines","tag-whole-genome-sequencing-analysis"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/56543","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=56543"}],"version-history":[{"count":4,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/56543\/revisions"}],"predecessor-version":[{"id":59916,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/56543\/revisions\/59916"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=56543"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=56543"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=56543"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}