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  1. Despite continual progress in the identification and characterization of trait- and disease-associated variants that disrupt transcription factor (TF)-DNA binding, little is known about the distribution of TF ...

    Authors: Shan Li, Evgeny Z. Kvon, Axel Visel, Len A. Pennacchio and Ivan Ovcharenko
    Citation: Genome Biology 2019 20:140
  2. Methylation datasets are affected by innumerable sources of variability, both biological (cell-type composition, genetics) and technical (batch effects). Here, we propose a reference-free method based on spars...

    Authors: Mike Thompson, Zeyuan Johnson Chen, Elior Rahmani and Eran Halperin
    Citation: Genome Biology 2019 20:138
  3. Systems for CRISPR-based combinatorial perturbation of two or more genes are emerging as powerful tools for uncovering genetic interactions. However, systematic identification of these relationships is complic...

    Authors: Mahdi Zamanighomi, Sidharth S. Jain, Takahiro Ito, Debjani Pal, Timothy P. Daley and William R. Sellers
    Citation: Genome Biology 2019 20:137
  4. Bread wheat is one of the most important and broadly studied crops. However, due to the complexity of its genome and incomplete genome collection of wild populations, the bread wheat genome landscape and domes...

    Authors: Hong Cheng, Jing Liu, Jia Wen, Xiaojun Nie, Luohao Xu, Ningbo Chen, Zhongxing Li, Qilin Wang, Zhuqing Zheng, Ming Li, Licao Cui, Zihua Liu, Jianxin Bian, Zhonghua Wang, Shengbao Xu, Qin Yang…
    Citation: Genome Biology 2019 20:136
  5. The importance of cell type-specific epigenetic variation of non-coding regions in neuropsychiatric disorders is increasingly appreciated, yet data from disease brains are conspicuously lacking. We generate ce...

    Authors: Isabel Mendizabal, Stefano Berto, Noriyoshi Usui, Kazuya Toriumi, Paramita Chatterjee, Connor Douglas, Iksoo Huh, Hyeonsoo Jeong, Thomas Layman, Carol A. Tamminga, Todd M. Preuss, Genevieve Konopka and Soojin V. Yi
    Citation: Genome Biology 2019 20:135
  6. We present SMURF-seq, a protocol to efficiently sequence short DNA molecules on a long-read sequencer by randomly ligating them to form long molecules. Applying SMURF-seq using the Oxford Nanopore MinION yield...

    Authors: Rishvanth K. Prabakar, Liya Xu, James Hicks and Andrew D. Smith
    Citation: Genome Biology 2019 20:134

    The Author Correction to this article has been published in Genome Biology 2020 21:214

  7. Genome-wide association studies (GWAS) have identified hundreds of loci associated with coronary artery disease (CAD) and blood pressure (BP) or hypertension. Many of these loci are not linked to traditional r...

    Authors: Simon Lalonde, Valérie-Anne Codina-Fauteux, Sébastian Méric de Bellefon, Francis Leblanc, Mélissa Beaudoin, Marie-Michelle Simon, Rola Dali, Tony Kwan, Ken Sin Lo, Tomi Pastinen and Guillaume Lettre
    Citation: Genome Biology 2019 20:133
  8. CRISPR-based nucleic acid detection methods are reported to facilitate rapid and sensitive DNA detection. However, precise DNA detection at the single-base resolution and its wide applications including high-f...

    Authors: Fei Teng, Lu Guo, Tongtong Cui, Xin-Ge Wang, Kai Xu, Qingqin Gao, Qi Zhou and Wei Li
    Citation: Genome Biology 2019 20:132
  9. For species survival, the germline must faithfully transmit genetic information to the progeny. Transposable elements (TEs) constitute a significant threat to genome stability due to their mobility. In the met...

    Authors: Céline Duc, Marianne Yoth, Silke Jensen, Nolwenn Mouniée, Casey M. Bergman, Chantal Vaury and Emilie Brasset
    Citation: Genome Biology 2019 20:127
  10. Genomic variation is widespread, and both neutral and selective processes can generate similar patterns in the genome. These processes are not mutually exclusive, so it is difficult to infer the evolutionary m...

    Authors: Baosheng Wang, Julius P. Mojica, Nadeesha Perera, Cheng-Ruei Lee, John T. Lovell, Aditi Sharma, Catherine Adam, Anna Lipzen, Kerrie Barry, Daniel S. Rokhsar, Jeremy Schmutz and Thomas Mitchell-Olds
    Citation: Genome Biology 2019 20:126

    The Correction to this article has been published in Genome Biology 2019 20:161

  11. In computational biology and other sciences, researchers are frequently faced with a choice between several computational methods for performing data analyses. Benchmarking studies aim to rigorously compare th...

    Authors: Lukas M. Weber, Wouter Saelens, Robrecht Cannoodt, Charlotte Soneson, Alexander Hapfelmeier, Paul P. Gardner, Anne-Laure Boulesteix, Yvan Saeys and Mark D. Robinson
    Citation: Genome Biology 2019 20:125
  12. Following publication of the original article [1], the authors reported the following error in the name of the fourth author.

    Authors: Pierre Murat, Giovanni Marsico, Barbara Herdy, Avazeh T. Ghanbarian, Guillem Portella and Shankar Balasubramanian
    Citation: Genome Biology 2019 20:124

    The original article was published in Genome Biology 2018 19:229

  13. Cold stress can greatly affect plant growth and development. Plants have developed special systems to respond to and tolerate cold stress. While plant scientists have discovered numerous genes involved in resp...

    Authors: Zixian Zeng, Wenli Zhang, Alexandre P. Marand, Bo Zhu, C. Robin Buell and Jiming Jiang
    Citation: Genome Biology 2019 20:123
  14. Following publication of the original article [1], the authors reported that Figs. 4 and 5 had mistakenly been transposed. Please find the correct Figs. 4 and 5 below. The original article [1] has been corrected.

    Authors: Andrew N. Holding, Federico M. Giorgi, Amanda Donnelly, Amy E. Cullen, Sankari Nagarajan, Luke A. Selth and Florian Markowetz
    Citation: Genome Biology 2019 20:122

    The original article was published in Genome Biology 2019 20:91

  15. Genome-scale metabolic models (GEMs) computationally describe gene-protein-reaction associations for entire metabolic genes in an organism, and can be simulated to predict metabolic fluxes for various systems-...

    Authors: Changdai Gu, Gi Bae Kim, Won Jun Kim, Hyun Uk Kim and Sang Yup Lee
    Citation: Genome Biology 2019 20:121
  16. The uneven use of synonymous codons in the transcriptome regulates the efficiency and fidelity of protein translation rates. Yet, the importance of this codon bias in regulating cell state-specific expression ...

    Authors: Susanne Bornelöv, Tommaso Selmi, Sophia Flad, Sabine Dietmann and Michaela Frye
    Citation: Genome Biology 2019 20:119
  17. In high-throughput studies, hundreds to millions of hypotheses are typically tested. Statistical methods that control the false discovery rate (FDR) have emerged as popular and powerful tools for error rate co...

    Authors: Keegan Korthauer, Patrick K. Kimes, Claire Duvallet, Alejandro Reyes, Ayshwarya Subramanian, Mingxiang Teng, Chinmay Shukla, Eric J. Alm and Stephanie C. Hicks
    Citation: Genome Biology 2019 20:118
  18. Structural variations (SVs) or copy number variations (CNVs) greatly impact the functions of the genes encoded in the genome and are responsible for diverse human diseases. Although a number of existing SV det...

    Authors: Shunichi Kosugi, Yukihide Momozawa, Xiaoxi Liu, Chikashi Terao, Michiaki Kubo and Yoichiro Kamatani
    Citation: Genome Biology 2019 20:117
  19. Current genotyping approaches for single-nucleotide variations rely on short, accurate reads from second-generation sequencing devices. Presently, third-generation sequencing platforms are rapidly becoming mor...

    Authors: Jana Ebler, Marina Haukness, Trevor Pesout, Tobias Marschall and Benedict Paten
    Citation: Genome Biology 2019 20:116
  20. Genes are comprised of DNA codes and contain promoters and other control elements for reading these codes. The rapid development of clustered regularly interspaced short palindromic repeats (CRISPR) technology...

    Authors: Hengji Zhan, Qun Zhou, Qunjun Gao, Jianfa Li, Weiren Huang and Yuchen Liu
    Citation: Genome Biology 2019 20:113
  21. Genetic, transcriptional, and post-transcriptional variations shape the transcriptome of individual cells, rendering establishing an exhaustive set of reference RNAs a complicated matter. Current reference tra...

    Authors: Antonin Morillon and Daniel Gautheret
    Citation: Genome Biology 2019 20:112
  22. DNA methylation is thought to be an important determinant of human phenotypic variation, but its inherent cell type specificity has impeded progress on this question. At exceptional genomic regions, interindiv...

    Authors: Chathura J. Gunasekara, C. Anthony Scott, Eleonora Laritsky, Maria S. Baker, Harry MacKay, Jack D. Duryea, Noah J. Kessler, Garrett Hellenthal, Alexis C. Wood, Kelly R. Hodges, Manisha Gandhi, Amy B. Hair, Matt J. Silver, Sophie E. Moore, Andrew M. Prentice, Yumei Li…
    Citation: Genome Biology 2019 20:105
  23. Data science allows the extraction of practical insights from large-scale data. Here, we contextualize it as an umbrella term, encompassing several disparate subdomains. We focus on how genomics fits as a spec...

    Authors: Fábio C. P. Navarro, Hussein Mohsen, Chengfei Yan, Shantao Li, Mengting Gu, William Meyerson and Mark Gerstein
    Citation: Genome Biology 2019 20:109
  24. The rapid increase of omic data has greatly facilitated the investigation of associations between omic profiles such as DNA methylation (DNAm) and complex traits in large cohorts. Here, we propose a mixed-line...

    Authors: Futao Zhang, Wenhan Chen, Zhihong Zhu, Qian Zhang, Marta F. Nabais, Ting Qi, Ian J. Deary, Naomi R. Wray, Peter M. Visscher, Allan F. McRae and Jian Yang
    Citation: Genome Biology 2019 20:107
  25. The explosive growth of genomic data provides an opportunity to make increased use of sequence variations for phenotype prediction. We have developed a prediction machine for quantitative phenotypes (WhoGEM) t...

    Authors: Laurent Gentzbittel, Cécile Ben, Mélanie Mazurier, Min-Gyoung Shin, Todd Lorenz, Martina Rickauer, Paul Marjoram, Sergey V. Nuzhdin and Tatiana V. Tatarinova
    Citation: Genome Biology 2019 20:106
  26. A recent study on human structural variation indicates insufficiencies and errors in the human reference genome, GRCh38, and argues for the construction of a human pan-genome.

    Authors: Xiaofei Yang, Wan-Ping Lee, Kai Ye and Charles Lee
    Citation: Genome Biology 2019 20:104
  27. Inherited factors contribute to lung cancer risk, but the mechanism is not well understood. Defining the biological consequence of GWAS hits in cancers is a promising strategy to elucidate the inherited mechan...

    Authors: Lipei Shao, Xianglin Zuo, Yin Yang, Yu Zhang, Nan Yang, Bin Shen, Jianying Wang, Xuchun Wang, Ruilei Li, Guangfu Jin, Dawei Yu, Yuan Chen, Luan Sun, Zhen Li, Qiaofen Fu, Zhibin Hu…
    Citation: Genome Biology 2019 20:103
  28. Capture Hi-C (CHi-C) is a new technique for assessing genome organization based on chromosome conformation capture coupled to oligonucleotide capture of regions of interest, such as gene promoters. Chromatin l...

    Authors: Yousra Ben Zouari, Anne M. Molitor, Natalia Sikorska, Vera Pancaldi and Tom Sexton
    Citation: Genome Biology 2019 20:102
  29. Base editing installs a precise nucleotide change in specific gene loci without causing a double-strand break. Its efficiency in human embryos is generally low, limiting its utility in functional genetic studi...

    Authors: Meiling Zhang, Changyang Zhou, Yu Wei, Chunlong Xu, Hong Pan, Wenqin Ying, Yidi Sun, Yun Sun, Qingquan Xiao, Ning Yao, Wanxia Zhong, Yun Li, Keliang Wu, Gao Yuan, Shoukhrat Mitalipov, Zi-jiang Chen…
    Citation: Genome Biology 2019 20:101
  30. The functional determinants of H3K4me3, their potential dependency on histone H2B monoubiquitination, and their contribution to defining transcriptional regimes are poorly defined in plant systems. Unlike in Sacc...

    Authors: Anne-Sophie Fiorucci, Clara Bourbousse, Lorenzo Concia, Martin Rougée, Anne-Flore Deton-Cabanillas, Gérald Zabulon, Elodie Layat, David Latrasse, Soon Kap Kim, Nicole Chaumont, Bérangère Lombard, David Stroebel, Sophie Lemoine, Ammara Mohammad, Corinne Blugeon, Damarys Loew…
    Citation: Genome Biology 2019 20:100
  31. Circular RNAs (circRNAs) are implicated in various biological processes. As a layer of the gene regulatory network, circRNA expression is also an intermediate phenotype bridging genetic variation and phenotypi...

    Authors: Zelin Liu, Yuan Ran, Changyu Tao, Sichen Li, Jian Chen and Ence Yang
    Citation: Genome Biology 2019 20:99
  32. The human genome contains “dark” gene regions that cannot be adequately assembled or aligned using standard short-read sequencing technologies, preventing researchers from identifying mutations within these ge...

    Authors: Mark T. W. Ebbert, Tanner D. Jensen, Karen Jansen-West, Jonathon P. Sens, Joseph S. Reddy, Perry G. Ridge, John S. K. Kauwe, Veronique Belzil, Luc Pregent, Minerva M. Carrasquillo, Dirk Keene, Eric Larson, Paul Crane, Yan W. Asmann, Nilufer Ertekin-Taner, Steven G. Younkin…
    Citation: Genome Biology 2019 20:97
  33. The diversity and evolutionary success of beetles (Coleoptera) are proposed to be related to the diversity of plants on which they feed. Indeed, the largest beetle suborder, Polyphaga, mostly includes plant ea...

    Authors: Mathieu Seppey, Panagiotis Ioannidis, Brent C. Emerson, Camille Pitteloud, Marc Robinson-Rechavi, Julien Roux, Hermes E. Escalona, Duane D. McKenna, Bernhard Misof, Seunggwan Shin, Xin Zhou, Robert M. Waterhouse and Nadir Alvarez
    Citation: Genome Biology 2019 20:98
  34. Whole metagenome shotgun (WMGS) sequencing is a method that provides insights into the genomic composition and arrangement of complex microbial consortia. Here, we report how WMGS coupled with a cultivation ap...

    Authors: Gabriele Andrea Lugli, Christian Milani, Sabrina Duranti, Giulia Alessandri, Francesca Turroni, Leonardo Mancabelli, Danilo Tatoni, Maria Cristina Ossiprandi, Douwe van Sinderen and Marco Ventura
    Citation: Genome Biology 2019 20:96
  35. Gene co-expression networks capture biological relationships between genes and are important tools in predicting gene function and understanding disease mechanisms. We show that technical and biological artifa...

    Authors: Princy Parsana, Claire Ruberman, Andrew E. Jaffe, Michael C. Schatz, Alexis Battle and Jeffrey T. Leek
    Citation: Genome Biology 2019 20:94
  36. VirtUaL ChIP-seq Analysis through Networks (VULCAN) infers regulatory interactions of transcription factors by overlaying networks generated from publicly available tumor expression data onto ChIP-seq data. We...

    Authors: Andrew N. Holding, Federico M. Giorgi, Amanda Donnelly, Amy E. Cullen, Sankari Nagarajan, Luke A. Selth and Florian Markowetz
    Citation: Genome Biology 2019 20:91

    The Correction to this article has been published in Genome Biology 2019 20:122

  37. High-throughput single-cell assays increasingly require special consideration in experimental design, sample multiplexing, batch effect removal, and data interpretation. Here, we describe a lentiviral barcode-...

    Authors: Chuner Guo, Wenjun Kong, Kenji Kamimoto, Guillermo C. Rivera-Gonzalez, Xue Yang, Yuhei Kirita and Samantha A. Morris
    Citation: Genome Biology 2019 20:90

    The Protocol to this article has been published in Nature Protocols 2020 15:s41596-019-0247-2

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