QUANTITATIVE RESEARCH AND RIGOR IN GENETICS

Name: QUANTITATIVE RESEARCH AND RIGOR IN GENETICS
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GENETICS 807

과목 설명

Combines review of key statistical concepts needed for genetics research with discussions of contemporary debates and common pitfalls in the application of quantitative methods specific to genetics research. Use statistical software to explore and apply statistics to genetic inference, with an emphasis on computationally intensive methods, including group coding exercises and case studies of genetics problems. Engage with contemporary ideas around study design, transparency, rigor and reproducibility in genetics research.

선수과목

GENETICS 701

충족 요건

This course does not satisfy any prerequisites.

학점

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개설 시기

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평점

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변화 계산 불가

수료율

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변화 계산 불가

A 비율

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변화 계산 불가

학급 규모

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과거 데이터 대비 변화 없음

데이터 없음

강사 (2026 Summr)

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유사 과목

GENERAL GENETICS 2

GENETICS 468

Genetic analysis, population genetics, evolution and quantitative genetics. Includes mutant screens, pathway analysis, mosaic analysis, reverse genetics, genomics, Hardy-Weinberg linkage equilibrium, inbreeding, genetic drift, natural selection, population structure, inheritance of complex traits, domestication and human evolution.

STATISTICS IN HUMAN GENETICS

BMI/STAT 620

Provides a comprehensive survey of statistical methods in human genetics research. Covered topics include linkage analysis, genome-wide association study, rare variant association analysis, meta-analysis, genome and variant annotation, heritability estimation, multi-trait modeling techniques, multi-omic data integration, and genetic risk prediction.

QUANTITATIVE GENETICS

ANSCI 610

An advanced approach with emphasis on statistical foundations. Classical theory with extensions to maternal and paternal effects. Selection theory is considered in depth.

INDEPENDENT STUDY

GENETICS 299

Research work for students under direct guidance of a faculty member in an area encompassing Genetics. Students are responsible for arranging the work and credits with the supervising instructor.

STATISTICAL METHODS FOR MOLECULAR BIOLOGY

BMI/STAT 877

Statistical and computational methods in statistical genomics for human and experimental populations. Review methods for quality control, experimental design, clustering, network analysis, and other downstream analysis of next-generation sequencing studies along with methods for genome wide association studies.