ArticleNature communications2018
Deciphering highly similar multigene family transcripts from Iso-Seq data with IsoCon.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 69 citations in OpenAlex.
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- VIsoQLR: an interactive tool for the detection, quantification and fine-tuning of isoforms in selected genes using long-read sequencing.Human genetics · 2023Article
- Nanopore sequencing of PCR products enables multicopy gene family reconstruction.Computational and structural biotechnology journal · 2023Article
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- Full-length transcriptome sequencing reveals the molecular mechanism of potato seedlings responding to low-temperature.BMC plant biology · 2022Article
- Amplicon_sorter: A tool for reference-free amplicon sorting based on sequence similarity and for building consensus sequences.Ecology and evolution · 2022Article
- Application of third-generation sequencing in cancer research.Medical review (2021) · 2021Article
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Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
A significant portion of genes in vertebrate genomes belongs to multigene families, with each family containing several gene copies whose presence/absence, as well as isoform structure, can be highly variable across individuals. Existing de novo techniques for assaying the sequences of such highly-similar gene families fall short of reconstructing end-to-end transcripts with nucleotide-level precision or assigning alternatively spliced transcripts to their respective gene copies. We present IsoCon, a high-precision method using long PacBio Iso-Seq reads to tackle this challenge. We apply IsoCon to nine Y chromosome ampliconic gene families and show that it outperforms existing methods on both experimental and simulated data. IsoCon has allowed us to detect an unprecedented number of novel isoforms and has opened the door for unraveling the structure of many multigene families and gaining a deeper understanding of genome evolution and human diseases.
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