What Is Genomics? Research Areas, Funding, and Career Paths

Genomics is the branch of biology that studies genomes — the complete set of DNA (or, in some viruses, RNA) within an organism, including every gene and all the non-coding sequence between genes — at the scale of the whole genome rather than one gene at a time. It is one of the youngest major biological disciplines, made possible by high-throughput sequencing technology, and it now underpins fields as different as precision medicine, agriculture, forensics, conservation biology and infectious-disease surveillance. Because genomics research routinely produces enormous datasets and large multi-institution collaborations, it also raises real research-administration questions around funding, data governance and computational infrastructure. This guide covers what genomics actually studies, how it relates to genetics and bioinformatics, its major subfields, how genomics research gets funded, the methods and tools researchers use, and typical career and training paths into the field.

What Is Genomics?

Genomics is the scientific study of genomes: their complete DNA sequence, their structure and organization, how the genes and regulatory elements within them function individually and as an interacting system, and how genomes vary and evolve across individuals, populations and species. Where classical genetics typically asks how a single gene or trait is inherited, genomics asks whole-genome-scale questions:

• Structure — what a genome’s complete DNA sequence is, how genes and non-coding regions are arranged along it, and how that sequence is packaged and organized within the cell.
• Function — which parts of the genome code for genes, which regulate them, and how the genome as a whole controls when and where genes are switched on.
• Variation and evolution — how genomes differ between individuals and species, and what those differences reveal about ancestry, disease risk and evolutionary history.

The term “genomics” was coined in 1986, but the field became a major research discipline through the Human Genome Project (1990–2003), the international public effort (alongside a parallel private effort at Celera Genomics) that produced the first essentially complete sequence of the human genome. The subsequent development of next-generation sequencing (NGS) technology in the mid-2000s cut the cost of sequencing a genome by several orders of magnitude, turning genome-scale analysis from a decade-long international project into a routine laboratory technique — the shift that defines genomics as a field today.

Genomics is closely related to, but genuinely distinct from, several neighboring disciplines:

• Genetics studies individual genes and how traits and genetic material are inherited from one generation to the next; genomics studies whole genomes at once. See this site’s companion guide, What Is Genetics?, for the classical-genetics side of this relationship — in practice the two overlap heavily, since most modern genetics research now uses genome-scale sequencing methods.
• Bioinformatics supplies the computational methods, algorithms and software used to store, process and interpret genomic (and other biological) data. Genomics generates the data; bioinformatics is the computational toolkit that makes sense of it at scale — see this site’s guide, What Is Bioinformatics?, for that computational side in more depth.
• Transcriptomics, proteomics, epigenomics and metabolomics are sibling “omics” disciplines that study, respectively, the full set of RNA transcripts, proteins, epigenetic modifications and metabolites produced by a genome. Genomics is often the entry point into this broader multi-omics ecosystem, since the genome sequence is the reference against which the other layers are measured; see this site’s guide to What Is Proteomics? for the protein-level counterpart.
• Molecular and cell biology study the mechanisms of gene expression and cellular function more broadly, of which genome organization and regulation are a central part.

Genomic methods have also become a standard research tool within other disciplines rather than staying confined to genomics itself — for example, neurogenomics applies genome-wide sequencing and association methods to nervous-system development and disease, an approach covered from the neuroscience side in this site’s guide to What Is Neurobiology?.

Major Subfields of Genomics

Genomics researchers typically specialize in one or more of the following subfields:

• Structural genomics — determines and assembles the physical DNA sequence of a genome from raw sequencing reads, and characterizes how that sequence is organized (chromosome structure, repetitive elements, three-dimensional genome architecture).
• Functional genomics — studies what genes and other genomic elements actually do: gene expression across the genome, regulatory-element mapping, and genome-wide functional annotation.
• Comparative genomics — compares genome sequences across species to identify conserved and divergent regions, reconstruct evolutionary relationships, and infer function by homology.
• Population genomics — extends population genetics to whole-genome data, studying how genetic variation is distributed within and between populations using genome-wide (rather than single-marker) methods, including genome-wide association studies (GWAS).
• Epigenomics — maps epigenetic modifications (DNA methylation, histone modification, chromatin accessibility) across an entire genome, rather than at a single locus.
• Metagenomics — sequences and analyzes genetic material recovered directly from environmental or clinical samples (soil, water, the gut microbiome) without first isolating and culturing individual organisms, revealing the genomic composition of whole microbial communities.
• Clinical and medical genomics — applies genome and exome sequencing to diagnosis, risk assessment and treatment selection, including pharmacogenomics (how genomic variation affects drug response) and the broader precision-medicine movement.
• Cancer genomics — studies the somatic (acquired, non-inherited) genomic alterations that drive tumor development, commonly through sequencing tumor tissue directly.
• Computational genomics — develops the algorithms, statistical methods and software genomics depends on, overlapping heavily with bioinformatics.

How Genomics Research Is Funded

Genomics is a heavily funded, infrastructure-intensive area of biological research, reflecting both the cost of large-scale sequencing and its relevance across basic science, medicine, agriculture and environmental research. In the United States, several federal funders are active:

• The National Institutes of Health (NIH) is the largest funder. The National Human Genome Research Institute (NHGRI) is the NIH institute most specifically dedicated to genomics, having grown directly out of the Human Genome Project, and funds genome sequencing technology development, genomic-medicine implementation research, and large collaborative programs. Other institutes fund genomics within their own disease focus — the National Cancer Institute (NCI) funds cancer genomics, and the National Institute of General Medical Sciences (NIGMS) funds basic genomic science not tied to a specific disease. NIH also runs cross-institute Common Fund programs that generate widely used genomic resources, such as the Genotype-Tissue Expression (GTEx) project mapping how genetic variation affects gene expression across human tissues.
• The National Science Foundation (NSF) funds fundamental genomics research primarily through its Directorate for Biological Sciences, including a dedicated plant genome research program alongside broader molecular, cellular and evolutionary genomics work.
• The U.S. Department of Agriculture’s National Institute of Food and Agriculture (USDA NIFA) funds genomics applied to crops and livestock — genome sequencing, trait mapping and genomics-assisted breeding.
• The Department of Energy (DOE) Office of Science, through its Biological and Environmental Research program and the Joint Genome Institute (JGI), funds plant, microbial and environmental genomics relevant to bioenergy and environmental research.

Outside the federal government, several major private funders are well-established supporters of genomics specifically. The Howard Hughes Medical Institute (HHMI) funds individual investigators, many working in genomics, through its distinctive person-not-project model. The Chan Zuckerberg Initiative funds genomics and single-cell biology infrastructure, including large reference-atlas projects. Internationally, the UK’s Wellcome Trust is one of the world’s largest funders of genomics research and funds the Wellcome Sanger Institute, a major genome-sequencing center; the UK government’s own Genomics England initiative, launched via the 100,000 Genomes Project, funds and coordinates large-scale clinical genome sequencing integrated with the National Health Service.

Genomics research is also unusual in how internationally coordinated its data-sharing infrastructure is: the Global Alliance for Genomics and Health (GA4GH) is the leading international standards body for genomic and health-data sharing, and large genome-sequencing consortia and biobank studies routinely produce papers with hundreds of contributing scientists — see this site’s guide on how large genomics consortia and biobank studies credit contributors for how authorship and credit get handled at that scale.

Common Research Methods and Tools in Genomics

Genomics research draws on a common toolkit that spans wet-lab sequencing technology and computational analysis:

• Next-generation sequencing (NGS) — high-throughput short-read sequencing (dominated by Illumina’s sequencing-by-synthesis platforms) that made whole-genome, whole-exome and targeted-panel sequencing routine and comparatively inexpensive.
• Long-read sequencing — platforms from Oxford Nanopore and PacBio that sequence much longer DNA fragments than short-read NGS, improving genome assembly through repetitive and structurally complex regions; see this site’s comparison of Illumina vs. Nanopore sequencing for how the two approaches trade off.
• Genome assembly and annotation — the computational reconstruction of a complete genome sequence from millions of short or long sequencing reads, followed by identifying genes and functional elements within it.
• Genome-wide association studies (GWAS) — statistically test genetic variants across the entire genome for association with a trait or disease in large cohorts, requiring stringent significance thresholds to account for testing enormous numbers of variants simultaneously.
• CRISPR-based functional genomics screens — use genome-wide CRISPR knockout, activation or interference libraries to systematically test the function of many genes at once.
• Single-cell genomics — sequences the genome or transcriptome of individual cells rather than a bulk tissue sample, revealing cell-to-cell heterogeneity that bulk sequencing averages away.
• Bioinformatics pipelines — sequence alignment, variant calling and genome-browser tools (such as those built on reference genome assemblies and public annotation databases) that turn raw sequencing output into interpretable results; a single genome sequence is several gigabytes of raw data, so this computational layer is not optional infrastructure but a core research skill.
• Public sequence and data repositories — genomic data is deposited and shared through standard public repositories; see this site’s guide to GenBank for how raw DNA sequence data is archived and shared internationally.

Career and Training Pathways

Research careers in genomics typically follow the standard biological-sciences academic pathway: an undergraduate degree in genomics, genetics, molecular biology, computer science or a related field, followed by a PhD program (commonly five to six years in the US) combining coursework, laboratory or computational rotations, a qualifying examination, and original dissertation research. Genomics PhD training is offered both through dedicated genomics/genome-sciences graduate programs and through broader genetics, molecular biology, computational biology or bioinformatics programs, depending on the institution. Most academic research careers continue with one or more postdoctoral positions before a researcher leads an independent laboratory.

Genomics also supports substantial non-faculty career paths: clinical and diagnostic laboratory roles (often requiring board certification for directors of CLIA-certified molecular genetics/genomics laboratories), genetic counseling (a separate master’s-level clinical profession, distinct from a research PhD track, focused on helping patients understand genomic test results), computational and bioinformatics roles in industry and biotechnology, and science-policy or research-administration roles supporting large genomics programs.

Several long-established professional societies are widely recognized focal points for the field. The American Society of Human Genetics (ASHG) focuses specifically on human genetics and genomics and hosts one of the field’s largest annual meetings. The Genetics Society of America (GSA) publishes the peer-reviewed journal GENETICS as well as G3: Genes|Genomes|Genetics, a genomics-focused companion journal. The Human Genome Organisation (HUGO) is the international scientific organization for the genomics community, and its HUGO Gene Nomenclature Committee (HGNC) is the standard authority for approved human gene names.

Frequently Asked Questions

What is the difference between genetics and genomics?

Genetics traditionally studies individual genes and how traits are inherited from parent to offspring; genomics studies whole genomes at once — their complete sequence, structure, function and evolution. In current practice the two overlap heavily, since most modern genetics research uses genome-scale sequencing methods, but genomics is specifically the whole-genome-scale discipline.

What is the difference between genomics and bioinformatics?

Genomics is the biological discipline that studies genomes; bioinformatics is the computational discipline that develops and applies the algorithms, software and statistical methods needed to store, process and interpret large-scale biological data, including genomic data. Genomics generates and asks questions of genome-scale data; bioinformatics supplies much of the computational toolkit that makes that analysis possible. The two fields overlap substantially in practice.

What are the main branches of genomics?

The major subfields include structural genomics, functional genomics, comparative genomics, population genomics, epigenomics, metagenomics, clinical/medical genomics, cancer genomics, and computational genomics — see the subfields section above for what each one covers.

Who funds genomics research?

In the US, major federal funders include NIH (particularly NHGRI, alongside disease-focused institutes such as NCI and basic-science funding from NIGMS), NSF’s Directorate for Biological Sciences, USDA’s NIFA for agricultural genomics, and DOE’s Joint Genome Institute for plant/microbial/environmental genomics. Private funders include HHMI and the Chan Zuckerberg Initiative, and internationally, the Wellcome Trust and UK-government-funded Genomics England.

What jobs can you get with a genomics background?

Common paths include academic and industry research (typically requiring a PhD), clinical/diagnostic laboratory roles in genomic medicine, genetic counseling (a separate master’s-level clinical credential), bioinformatics and computational-biology roles in biotechnology and pharmaceutical companies, agricultural genomics, and science-policy or research-administration roles supporting genomics programs.

Related Guides

This guide is part of a series covering major scientific disciplines from a research-administration perspective — see the overview guide to the branches of science for how genomics relates to neighboring fields and a full index of the other disciplines covered, and these companion guides: What Is Genetics?, What Is Bioinformatics?, What Is Proteomics?, and What Is Neurobiology?.