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Method: Autoencoders for genomic variation analysis
- Margarita Geleta,
- Daniel Mas Montserrat,
- Xavier Giro-i-Nieto,
- and Alexander G. Ioannidis
Genome Res. February 2026 36: 348-360; Published in Advance January 20, 2026, doi:10.1101/gr.280086.124
...are needed in order to properly capture the genetic composition of populations. Here, we explore deep learning techniques, namely, variational autoencoders (VAEs), to process genomic data from a population perspective. We show the power of VAEs for a variety of tasks relating to the interpretation...
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Method: Read-level genotyping of short tandem repeats using long reads and single-nucleotide variation with STRkit
- David R. Lougheed,
- Tomi Pastinen,
- and Guillaume Bourque
Genome Res. March 2026 36: 578-588; Published in Advance January 15, 2026, doi:10.1101/gr.280766.125
...Institute, Kansas City, Missouri 64108, USA; 4Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec H3A 0G1, Canada Corresponding authors: david.lougheed@mail.mcgill.ca, guil.bourque@mcgill.caAbstractVariation in short tandem repeats (STRs) is implicated in Mendelian...
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Resource: The SynMall resource for characterizing the functional impact of synonymous variation
- Chen Ye,
- Xiaoyan Li,
- Na Cheng,
- Yansen Su,
- and Junfeng Xia
Genome Res. February 2026 36: 421-431; Published in Advance December 17, 2025, doi:10.1101/gr.281257.125
...annotation databases offer limited functional insights for sSNVs. Here, we present SynMall, a comprehensive resource designed to decipher the functional impact of synonymous variation. SynMall catalogs 25 million potential human sSNVs and integrates evolutionary and population information of sSNVs from 45...
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Research: Common cis-regulatory variation modifies the penetrance of pathogenic SHROOM3 variants in craniofacial microsomia
- Hao Zhu,
- Jiao Zhang,
- Soumya Rao,
- Matthew D. Durbin,
- Ying Li,
- Ruirui Lang,
- Jiqiang Liu,
- Baichuan Xiao,
- Hailin Shan,
- Ziqiu Meng,
- Jinmo Wang,
- Xiaokai Tang,
- Zhenni Shi,
- Liza L. Cox,
- Shouqin Zhao,
- Stephanie M. Ware,
- Tiong Y. Tan,
- Michelle de Silva,
- Lyndon Gallacher,
- Ting Liu,
- Jie Mi,
- Changqing Zeng,
- Hou-Feng Zheng,
- Qingguo Zhang,
- Stylianos E. Antonarakis,
- Timothy C. Cox,
- and Yong-Biao Zhang
Genome Res. May 2025 35: 1065-1079; Published in Advance April 15, 2025, doi:10.1101/gr.280047.124
...). Notably, rs10017322 maps to an enhancer of SHROOM3 named GH04J076620, and rs344131 resides within a SHROOM3 enhancer named EH38E2305115, suggesting that they might directly influence enhancer activity (Fig. 4A). To investigate the impact of eQTLs located within enhancers on enhancer activity, we selected...
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Method: Accurate estimation of intraspecific microbial gene content variation in metagenomic data with MIDAS v3 and StrainPGC
- Byron J. Smith,
- Chunyu Zhao,
- Veronika Dubinkina,
- Xiaofan Jin,
- Liron Zahavi,
- Saar Shoer,
- Jacqueline Moltzau-Anderson,
- Eran Segal,
- and Katherine S. Pollard
Genome Res. May 2025 35: 1247-1260; Published in Advance April 10, 2025, doi:10.1101/gr.279543.124
...in a microbial community, but they often fall short in characterizing variation in gene content between strains (Plaza Oñate et al. 2019). As a result, it is challenging to study the functional consequences of strain-level variation in the gut microbiome.The most common way to study microbial gene content...
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Research: Integrating genetic variation with deep learning provides context for variants impacting transcription factor binding during embryogenesis
- Olga M. Sigalova,
- Mattia Forneris,
- Frosina Stojanovska,
- Bingqing Zhao,
- Rebecca R. Viales,
- Adam Rabinowitz,
- Fayrouz Hammal,
- Benoît Ballester,
- Judith B. Zaugg,
- and Eileen E.M. Furlong
Genome Res. May 2025 35: 1138-1153; Published in Advance April 15, 2025, doi:10.1101/gr.279652.124
...genetic variation impacts transcription factor (TF) binding remains a major challenge, limiting our ability to model disease-associated variants. Here, we used a highly controlled system of F1 crosses with extensive genetic diversity to profile allele-specific binding of four TFs at several time points...
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Research: Lake Malawi cichlid pangenome graph reveals extensive structural variation driven by transposable elements
- Fu Xiang Quah,
- Miguel Vasconcelos Almeida,
- Moritz Blumer,
- Chengwei Ulrika Yuan,
- Bettina Fischer,
- Kirsten See,
- Ben Jackson,
- Richard Zatha,
- Bosco Rusuwa,
- George F. Turner,
- M. Emília Santos,
- Hannes Svardal,
- Martin Hemberg,
- Richard Durbin,
- and Eric Miska
Genome Res. May 2025 35: 1094-1107; Published in Advance April 10, 2025, doi:10.1101/gr.279674.124
...Lake Malawi cichlid pan graph reveals extensive structural variation driven by transposable elements Fu Xiang Quah1,2, Miguel Vasconcelos Almeida1, Moritz Blumer2, Chengwei Ulrika Yuan1,2, Bettina Fischer2, Kirsten See1, Ben Jackson2, Richard Zatha3, Bosco Rusuwa3, George F. Turner4, M. Emília...
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Research: Variation in the fitness impact of translationally optimal codons among animals
- Florian Bénitière,
- Tristan Lefébure,
- and Laurent Duret
Genome Res. March 2025 35: 446-458; Published in Advance February 10, 2025, doi:10.1101/gr.279837.124
...variation in the intensity in TS across animals, it is important to refer to population genetic principles (Ohta 1996). Indeed, the SCU in a given reflects a balance between selection favoring translationally optimal codons and the effects of mutation and drift, allowing the fixation of nonoptimal codons...
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Research: Long-read DNA and cDNA sequencing identify cancer-predisposing deep intronic variation in tumor-suppressor genes
- Suleyman Gulsuner,
- Amal AbuRayyan,
- Jessica B. Mandell,
- Ming K. Lee,
- Greta V. Bernier,
- Barbara M. Norquist,
- Sarah B. Pierce,
- Mary-Claire King,
- and Tom Walsh
Genome Res. November 2024 34: 1825-1831; Published in Advance September 13, 2024, doi:10.1101/gr.279158.124
...and cDNA sequencing, based on patient-derived DNA and RNA, to systematically evaluate deep intronic variation. We identified all variants across the full genomic loci of targeted genes, applied the in silico tools SpliceAI and Pangolin to predict variants of functional consequence, and then carried out...
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Research: Differences in activity and stability drive transposable element variation in tropical and temperate maize
- Shujun Ou,
- Armin Scheben,
- Tyler Collins,
- Yinjie Qiu,
- Arun S. Seetharam,
- Claire C. Menard,
- Nancy Manchanda,
- Jonathan I. Gent,
- Michael C. Schatz,
- Sarah N. Anderson,
- Matthew B. Hufford,
- and Candice N. Hirsch
Genome Res. August 2024 34: 1140-1153; Published in Advance September 9, 2024, doi:10.1101/gr.278131.123
...Corresponding authors: mhufford@iastate.edu, cnhirsch@umn.eduAbstractMuch of the profound interspecific variation in content has been attributed to transposable elements (TEs). To explore the extent of TE variation within species, we developed an optimized open-source algorithm, panEDTA, to de novo annotate TEs...

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