Genomic Analysis and Sequencing Technologies

Genomic analysis and sequencing technologies have undergone a revolution over the past decade, driven by advances in high-throughput, massively parallel platforms. Next-generation sequencing (NGS) now routinely yields billions of short reads per run, enabling comprehensive surveys of base-level variation across populations and species. Complementary long-read methods provide extended contiguous sequences that span repetitive regions and resolve complex structural variants. Together, these approaches support de novo assembly of reference-quality genomes, pangenome construction and haplotype phasing. Bioinformatic pipelines encompass stages of read quality control, alignment to reference or graph-based frameworks, variant calling, annotation and interpretation. Applications span human medical genetics and precision oncology, agricultural improvement, microbial surveillance and biodiversity studies. Recent efforts to assemble diverse human genomes into a unified pangenome reveal novel alleles and improve variant discovery accuracy, while scalable workflows for structural variant detection and transcriptome quantification are transforming both research and clinical diagnostics. Challenges remain in handling vast data volumes, minimising error rates and integrating multiple data types—such as single-cell and epigenetic profiles—to achieve a holistic view of genome structure and function.

Research from Nature Portfolio

A draft human pangenome reference spanning dozens of diploid assemblies captures over 99% of expected sequence diversity and adds extensive polymorphic sequence relative to the existing standard. Utilisation of this graph-based pangenome reduces small variant discovery errors by a third and more than doubles structural variant detection per haplotype, enabling more accurate population and clinical analyses. Developments in structural variant calling with long reads have introduced an algorithm that leverages repeat-aware clustering and adaptive filtering to achieve near-order-of-magnitude speed gains and improved accuracy. This tool also delivers family- and population-level genotyping in a single workflow and reveals mosaic structural variants in human brain tissue, underscoring its utility for both germline and somatic studies.

Genomic Analysis and Sequencing Technologies publication trend

The graph below shows the total number of articles in genomic analysis and sequencing technologies across all publications each year (not limited to Nature Index journals).

Technical terms

Next-generation sequencing (NGS): Massively parallel sequencing technologies that produce large volumes of short DNA reads at high throughput.

Long-read sequencing: Single-molecule methods that generate reads of several kilobases, improving resolution of repeats and structural variants.

Pangenome: A graph-based representation of the collective genomic variation within a species, encompassing core and variable sequences.

Structural variant (SV): Large genomic alterations such as insertions, deletions, inversions or translocations affecting segments typically longer than 50 base pairs.

Genome assembly: Computational reconstruction of a genome sequence by ordering and merging overlapping sequencing reads into longer contigs or scaffolds.

References

1. A draft human pangenome reference. Nature (2023).
2. Detection of mosaic and population-level structural variants with Sniffles2. Nature Biotechnology (2024).
3. Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Research (2017).
4. Twelve years of SAMtools and BCFtools. GigaScience (2021).
5. The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Research (2010).