{"@context":"https://w3id.org/openbadges/v2","id":"https://milestone.campuslabs.com/api/v20/badge/2024697452/","uid":"2024697452","name":"Sequencing Analysis Practicum","description":"The Sequencing Analysis Practicum badge allows programmers and non-programmers alike to explore sequencing data for DNA variant detection, RNA expression analysis and detection of novel RNA transcripts. A variety of sequencing techniques (including single cell RNA sequencing), their strengths and pitfalls, and crucial aspects of experimental design will be discussed. Learners will analyze the resulting data while examining best practices for the effective use of sequencing data using analysis methods that are robust and reproducible.","type":"BadgeClass","image":"https://milestone.campuslabs.com/milestone/media/badge_image_uploads/2024/08/26/HC_SA_Bioinformatics_SequencingAnalysis_F.png","criteria":{"id":"https://milestone.campuslabs.com/org/1323717515/badge/2024697452","narrative":":multi: This FOUNDATIONAL badge is equivalent to a 3-credit, master's-level course. A final grade of B or better is required to earn this badge. -- 1.\tDesign, execute and analyze an RNA expression experiment using long-read or short-read RNA-seq.\n2.\tDesign, execute, and analyze a single-cell RNA (scRNA) sequencing experiment.\n3.\tDesign, execute and analyze a DNA variant detection experiment using long read or short-read DNA sequencing.\n4.\tUnderstand and implement best practices for study design, analysis workflow development and data handling to ensure the study is robust and reproducible.\n5.\tCompare and contrast the most popular sequencing platforms and identify their strengths and weaknesses.\n6.\tIdentify the best resources to obtain publicly available sequencing data.\n7.\tNavigate a remote computational cluster in Linux and execute functions from bioconductor packages in R.. "},"issuer":"https://milestone.campuslabs.com/api/v20/issuer/1323717515/","tags":["RNA and DNA Sequencing Data Analysis","RNA-seq Experiment Design and Analysis","Differential Expression Analysis","Genomic Data Visualization","Variant Calling and Genotyping","Programming in R","Linux Skills"],"alignment":[{"targetName":"Communication","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will communicate clearly and effectively in oral, written and/or visual formats, consistent with the standards of their discipline.","targetCode":"GSO_Comm"},{"targetName":"Research","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will identify and explore relevant questions and/or problems by accessing, evaluating, applying and/or conducting research using discipline-specific strategies.","targetCode":"GSO_Res"},{"targetName":"Critical Reasoning","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will approach content and tasks with a critical awareness, framed by knowledge and skills appropriate to their discipline.","targetCode":"GSO_CriReas"},{"targetName":"Problem Solving","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will apply advanced disciplinary content knowledge and strategies to understand and address problems and questions relevant to their discipline and to which they have not previously been introduced.","targetCode":"GSO_ProbSolv"},{"targetName":"Professionalism","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will engage in legal, ethical and professional behaviors consistent with their discipline, including leadership, teamwork and/or other responsibilities to key stakeholders.","targetCode":"GSO_Prof"}]}