ArticleNature chemical biology2021
Reconstruction of evolving gene variants and fitness from short sequencing reads.
Article in Nature chemical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Linkage-aware inference of fitness from short-read time-series genomic data.bioRxiv : the preprint server for biology · 2026Article
- Linkage-aware inference of fitness from short-read time-series genomic data.Virus evolution · 2026Article
- EvoAI enables extreme compression and reconstruction of the protein sequence space.Nature methods · 2025Article
- Correlated Allele Frequency Changes Reveal Clonal Structure and Selection in Temporal Genetic Data.Molecular biology and evolution · 2024Article
- EvoAI enables extreme compression and reconstruction of the protein sequence space.Research square · 2024Article
- Quantification of evolved DNA-editing enzymes at scale with DEQSeq.Genome biology · 2023Article
- Article
- Prediction of designer-recombinases for DNA editing with generative deep learning.Nature communications · 2022Article
- In vivo hypermutation and continuous evolution.Nature reviews. Methods primers · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Directed evolution can generate proteins with tailor-made activities. However, full-length genotypes, their frequencies and fitnesses are difficult to measure for evolving gene-length biomolecules using most high-throughput DNA sequencing methods, as short read lengths can lose mutation linkages in haplotypes. Here we present Evoracle, a machine learning method that accurately reconstructs full-length genotypes (R
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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.