ReviewScience China. Life sciences2026
A review of computational approaches for metagenomics by long-read sequencing.
Review in Science China. Life sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
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Abstract
The metagenomic next-generation sequencing (mNGS), also known as short-read sequencing (SRS), is widely used to explore microbial composition and function. However, short reads, due to their difficulty in crossing repetitive regions, can lead to fragmented assemblies, hampering the comprehensive characterization of microbial genomes. In contrast, long-read sequencing (LRS) technologies, such as those from Pacific Biosciences (PacBio) and Oxford Nanopore, can span these complex repetitive regions and reconstruct continuous genomes, which enables high-resolution taxonomic classification and the precise recovery of essential genetic elements. This review provides a systematic overview of the computational approaches for long-read metagenomics, highlighting the progress in taxonomic profiling strategies, assembly and binning methods, and the detection of genetic elements. Furthermore, the review discusses the application of LRS in detecting structural variations (SVs), identifying methylation patterns, and characterizing strains. By combining advanced technologies and computational improvements, this review indicates the transformative potential of LRS in enhancing our understanding of microbial diversity, functions, and interactions within microbial communities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.