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2218 result(s) for 'seq' within Genome Biology

Page 7 of 45

  1. Transposable elements (TEs) have significantly influenced the evolution of transcriptional regulatory networks in the human genome. Post-transcriptional regulation of human genes by TE-derived sequences has been ...

    Authors: David R Kelley, David G Hendrickson, Danielle Tenen and John L Rinn
    Citation: Genome Biology 2014 15:537
  2. Single-cell sequencing datasets are key in biology and medicine for unraveling insights into heterogeneous cell populations with unprecedented resolution. Here, we construct a single-cell multi-omics map of hu...

    Authors: Lu Pan, Paolo Parini, Roman Tremmel, Joseph Loscalzo, Volker M. Lauschke, Bradley A. Maron, Paola Paci, Ingemar Ernberg, Nguan Soon Tan, Zehuan Liao, Weiyao Yin, Sundararaman Rengarajan and Xuexin Li
    Citation: Genome Biology 2024 25:104
  3. We have used protein binding microarrays and electrophoretic mobility shift assay-sequencing (EMSA-Seq), a deep sequencing based method we...

    Authors: Daniel Wong, Ana Teixeira, Spyros Oikonomopoulos, Peter Humburg, Imtiaz Nisar Lone, David Saliba, Trevor Siggers, Martha Bulyk, Dimitar Angelov, Stefan Dimitrov, Irina A Udalova and Jiannis Ragoussis
    Citation: Genome Biology 2011 12:R70
  4. Genome-wide mapping of histone modifications is critical to understanding transcriptional regulation. CUT&Tag is a new method for profiling histone modifications, offering improved sensitivity and decreased cost ...

    Authors: William M. Yashar, Garth Kong, Jake VanCampen, Brittany M. Curtiss, Daniel J. Coleman, Lucia Carbone, Galip Gürkan Yardimci, Julia E. Maxson and Theodore P. Braun
    Citation: Genome Biology 2022 23:144
  5. Our results suggest that TE-embedded CREs contribute to gene regulation during and beyond gastrulation. On a methodological level, we provide a statistical tool that infers TE-dependent cis-regulation from RNA-seq

    Authors: Cyril Pulver, Delphine Grun, Julien Duc, Shaoline Sheppard, Evarist Planet, Alexandre Coudray, Raphaël de Fondeville, Julien Pontis and Didier Trono
    Citation: Genome Biology 2023 24:258
  6. Using genome-wide approaches, allele-specific ATAC-seq and single-cell RNA-seq, in female embryonic fibroblasts and during reprogramming...

    Authors: Irene Talon, Adrian Janiszewski, Bart Theeuwes, Thomas Lefevre, Juan Song, Greet Bervoets, Lotte Vanheer, Natalie De Geest, Suresh Poovathingal, Ryan Allsop, Jean-Christophe Marine, Florian Rambow, Thierry Voet and Vincent Pasque
    Citation: Genome Biology 2021 22:302
  7. Integration of single-cell multiomics profiles generated by different single-cell technologies from the same biological sample is still challenging. Previous approaches based on shared features have only provi...

    Authors: Jinzhuang Dou, Shaoheng Liang, Vakul Mohanty, Qi Miao, Yuefan Huang, Qingnan Liang, Xuesen Cheng, Sangbae Kim, Jongsu Choi, Yumei Li, Li Li, May Daher, Rafet Basar, Katayoun Rezvani, Rui Chen and Ken Chen
    Citation: Genome Biology 2022 23:112
  8. A complete understanding of biological processes requires synthesizing information across heterogeneous modalities, such as age, disease status, or gene expression. Technological advances in single-cell profil...

    Authors: Rohit Singh, Brian L. Hie, Ashwin Narayan and Bonnie Berger
    Citation: Genome Biology 2021 22:131

    The Protocol to this article has been published in Nature Protocols 2024 :s41596-024-00991-3

  9. Nucleomorphs are remnants of secondary endosymbiotic events between two eukaryote cells wherein the endosymbiont has retained its eukaryotic nucleus. Nucleomorphs have evolved at least twice independently, in ...

    Authors: Georgi K. Marinov, Xinyi Chen, Tong Wu, Chuan He, Arthur R. Grossman, Anshul Kundaje and William James Greenleaf
    Citation: Genome Biology 2022 23:65
  10. To dissect functions of CTCF binding, we systematically analyze over 700 CTCF ChIP-seq profiles across human tissues and cancers and...

    Authors: Celestia Fang, Zhenjia Wang, Cuijuan Han, Stephanie L. Safgren, Kathryn A. Helmin, Emmalee R. Adelman, Valentina Serafin, Giuseppe Basso, Kyle P. Eagen, Alexandre Gaspar-Maia, Maria E. Figueroa, Benjamin D. Singer, Aakrosh Ratan, Panagiotis Ntziachristos and Chongzhi Zang
    Citation: Genome Biology 2020 21:247
  11. Deconvolution of cell mixtures in “bulk” transcriptomic samples from homogenate human tissue is important for understanding disease pathologies. However, several experimental and computational challenges impede t...

    Authors: Sean K. Maden, Sang Ho Kwon, Louise A. Huuki-Myers, Leonardo Collado-Torres, Stephanie C. Hicks and Kristen R. Maynard
    Citation: Genome Biology 2023 24:288
  12. Enhancers are non-coding regions of the genome that control the activity of target genes. Recent efforts to identify active enhancers experimentally and in silico have proven effective. While these tools can p...

    Authors: Jareth C. Wolfe, Liudmila A. Mikheeva, Hani Hagras and Nicolae Radu Zabet
    Citation: Genome Biology 2021 22:308
  13. Systematic characterization of how  genetic variation modulates gene regulation in a cell type-specific context is essential for understanding complex traits. To address this question, we profile gene expressi...

    Authors: Jun Wang, Xuesen Cheng, Qingnan Liang, Leah A. Owen, Jiaxiong Lu, Yiqiao Zheng, Meng Wang, Shiming Chen, Margaret M. DeAngelis, Yumei Li and Rui Chen
    Citation: Genome Biology 2023 24:269
  14. In Arabidopsis, RNA Polymerase II (Pol II) often pauses within a few hundred base pairs downstream of the polyadenylation site, reflecting efficient transcriptional termination, but how such pausing is regulat...

    Authors: Sixian Zhou, Fengli Zhao, Danling Zhu, Qiqi Zhang, Ziwei Dai and Zhe Wu
    Citation: Genome Biology 2023 24:206
  15. We conduct a co-eQTL meta-analysis across four scRNA-seq peripheral blood mononuclear cell datasets using a...

    Authors: Shuang Li, Katharina T. Schmid, Dylan H. de Vries, Maryna Korshevniuk, Corinna Losert, Roy Oelen, Irene V. van Blokland, Hilde E. Groot, Morris A. Swertz, Pim van der Harst, Harm-Jan Westra, Monique G.P. van der Wijst, Matthias Heinig and Lude Franke
    Citation: Genome Biology 2023 24:80
  16. Parts-based representations, such as non-negative matrix factorization and topic modeling, have been used to identify structure from single-cell sequencing data sets, in particular structure that is not as well c...

    Authors: Peter Carbonetto, Kaixuan Luo, Abhishek Sarkar, Anthony Hung, Karl Tayeb, Sebastian Pott and Matthew Stephens
    Citation: Genome Biology 2023 24:236
  17. Hypoxia is pervasive in cancer and other diseases. Cells sense and adapt to hypoxia by activating hypoxia-inducible transcription factors (HIFs), but it is still an outstanding question why cell types differ i...

    Authors: Flora D’Anna, Laurien Van Dyck, Jieyi Xiong, Hui Zhao, Rebecca V. Berrens, Junbin Qian, Pawel Bieniasz-Krzywiec, Vikas Chandra, Luc Schoonjans, Jason Matthews, Julie De Smedt, Liesbeth Minnoye, Ricardo Amorim, Sepideh Khorasanizadeh, Qian Yu, Liyun Zhao…
    Citation: Genome Biology 2020 21:182
  18. In dinoflagellates, a unique and extremely divergent genomic and nuclear organization has evolved. The highly unusual features of dinoflagellate nuclei and genomes include permanently condensed liquid crystall...

    Authors: Georgi K. Marinov, Xinyi Chen, Matthew P. Swaffer, Tingting Xiang, Arthur R. Grossman and William J. Greenleaf
    Citation: Genome Biology 2024 25:115
  19. Here, we apply biological, biochemical, and network biology methods to validate GEMM-derived cell models using inducible KrasG12D expression. We describe the time-dependent, chromatin remodeling program that impa...

    Authors: Angela J. Mathison, Romica Kerketta, Thiago Milech de Assuncao, Elise Leverence, Atefeh Zeighami, Guillermo Urrutia, Timothy J. Stodola, Marina Pasca di Magliano, Juan L. Iovanna, Michael T. Zimmermann, Gwen Lomberk and Raul Urrutia
    Citation: Genome Biology 2021 22:289
  20. Long-read RNA sequencing (RNA-seq) technologies can sequence full-length transcripts, ... isoform-specific gene expression over short-read RNA-seq. We present LIQA to quantify isoform expression ... . We apply LI...

    Authors: Yu Hu, Li Fang, Xuelian Chen, Jiang F. Zhong, Mingyao Li and Kai Wang
    Citation: Genome Biology 2021 22:182
  21. Transcriptional regulation is a key aspect of environmental stress responses. Heat stress induces transcriptional memory, i.e., sustained induction or enhanced re-induction of transcription, that allows plants to...

    Authors: Christian Kappel, Thomas Friedrich, Vicky Oberkofler, Li Jiang, Tim Crawford, Michael Lenhard and Isabel Bäurle
    Citation: Genome Biology 2023 24:129
  22. Single-cell sequencing provides detailed insights into biological processes including cell differentiation and identity. While providing deep cell-specific information, the method suffers from technical constr...

    Authors: Fabian Hausmann, Can Ergen, Robin Khatri, Mohamed Marouf, Sonja Hänzelmann, Nicola Gagliani, Samuel Huber, Pierre Machart and Stefan Bonn
    Citation: Genome Biology 2023 24:212
  23. Mammalian development is associated with extensive changes in gene expression, chromatin accessibility, and nuclear structure. Here, we follow such changes associated with mouse embryonic stem cell differentiatio...

    Authors: Giancarlo Bonora, Vijay Ramani, Ritambhara Singh, He Fang, Dana L. Jackson, Sanjay Srivatsan, Ruolan Qiu, Choli Lee, Cole Trapnell, Jay Shendure, Zhijun Duan, Xinxian Deng, William S. Noble and Christine M. Disteche
    Citation: Genome Biology 2021 22:279
  24. Dropouts distort gene expression and misclassify cell types in single-cell transcriptome. Although imputation may improve gene expression and downstream analysis to some degree, it also inevitably introduces fals...

    Authors: Yao He, Hao Yuan, Cheng Wu and Zhi Xie
    Citation: Genome Biology 2020 21:170
  25. A specific 3-dimensional intrachromosomal architecture of core stem cell factor genes is required to reprogram a somatic cell into pluripotency. As little is known about the epigenetic readers that orchestrate th...

    Authors: Zhonghua Du, Xue Wen, Yichen Wang, Lin Jia, Shilin Zhang, Yudi Liu, Lei Zhou, Hui Li, Wang Yang, Cong Wang, Jingcheng Chen, Yajing Hao, Daniela Salgado Figueroa, Huiling Chen, Dan Li, Naifei Chen…
    Citation: Genome Biology 2021 22:233

    The Author Correction to this article has been published in Genome Biology 2021 22:272

  26. To investigate the mechanisms driving regulatory evolution across tissues, we experimentally mapped promoters, enhancers, and gene expression in the liver, brain, muscle, and testis from ten diverse mammals.

    Authors: Maša Roller, Ericca Stamper, Diego Villar, Osagie Izuogu, Fergal Martin, Aisling M. Redmond, Raghavendra Ramachanderan, Louise Harewood, Duncan T. Odom and Paul Flicek
    Citation: Genome Biology 2021 22:62
  27. Although numerous approaches have been developed to map RNA-binding sites of individual RNA-binding proteins (RBPs), few methods exist that allow assessment of global RBP–RNA interactions. Here, we describe PIP-seq

    Authors: Ian M Silverman, Fan Li, Anissa Alexander, Loyal Goff, Cole Trapnell, John L Rinn and Brian D Gregory
    Citation: Genome Biology 2014 15:R3
  28. Our study demonstrates diverse response patterns from the same ancestor cancer cells in response to ICB. This suggests the value of monitoring clonal constitution and tumor microenvironment over time to optimize ...

    Authors: Shengqing Stan Gu, Xiaoqing Wang, Xihao Hu, Peng Jiang, Ziyi Li, Nicole Traugh, Xia Bu, Qin Tang, Chenfei Wang, Zexian Zeng, Jingxin Fu, Cliff Meyer, Yi Zhang, Paloma Cejas, Klothilda Lim, Jin Wang…
    Citation: Genome Biology 2020 21:263
  29. Studies on genetic–epigenetic interactions, including the mapping of methylation quantitative trait loci (mQTLs) and haplotype-dependent allele-specific DNA methylation (hap-ASM), have become a major focus in ...

    Authors: Catherine Do, Alyssa Shearer, Masako Suzuki, Mary Beth Terry, Joel Gelernter, John M. Greally and Benjamin Tycko
    Citation: Genome Biology 2017 18:120
  30. Using DV patterning as a test system, we develop a simple and effective method to identify tissue-specific enhancers de novo. We sample a broad set of candidate enhancer regions using data on CREB-binding protein...

    Authors: Nina Koenecke, Jeff Johnston, Bjoern Gaertner, Malini Natarajan and Julia Zeitlinger
    Citation: Genome Biology 2016 17:196
  31. Systematic interrogation of single-nucleotide variants (SNVs) is one of the most promising approaches to delineate the cellular heterogeneity and phylogenetic relationships at the single-cell level. While SNV det...

    Authors: Fenglin Liu, Yuanyuan Zhang, Lei Zhang, Ziyi Li, Qiao Fang, Ranran Gao and Zemin Zhang
    Citation: Genome Biology 2019 20:242
  32. We mapped HS-induced genome-wide changes in chromatin occupancy of SUMO-2/3-modified proteins in K562 and VCaP cells using ChIP-seq. Chromatin SUMOylation was further correlated with HS-induced global changes in ...

    Authors: Einari A. Niskanen, Marjo Malinen, Päivi Sutinen, Sari Toropainen, Ville Paakinaho, Anniina Vihervaara, Jenny Joutsen, Minna U. Kaikkonen, Lea Sistonen and Jorma J. Palvimo
    Citation: Genome Biology 2015 16:153
  33. Allele-specific measurements of transcription factor binding from ChIP-seq data are key to dissecting the allelic ... of background allele frequency on the observed ChIP-seq read counts. BaalChIP allows the joint...

    Authors: Ines de Santiago, Wei Liu, Ke Yuan, Martin O’Reilly, Chandra Sekhar Reddy Chilamakuri, Bruce A. J. Ponder, Kerstin B. Meyer and Florian Markowetz
    Citation: Genome Biology 2017 18:39
  34. Technical variation in feature measurements, such as gene expression and locus accessibility, is a key challenge of large-scale single-cell genomic datasets. We show that this technical variation in both scRNA-seq

    Authors: Ruoxin Li and Gerald Quon
    Citation: Genome Biology 2019 20:193

    The Correction to this article has been published in Genome Biology 2019 20:247

  35. Alu elements are major contributors to lineage-specific new exons in primate and human genomes. Recent studies indicate that some Alu exons have high transcript inclusion levels or tis...

    Authors: Lan Lin, Peng Jiang, Juw Won Park, Jinkai Wang, Zhi-xiang Lu, Maggie P. Y. Lam, Peipei Ping and Yi Xing
    Citation: Genome Biology 2016 17:15
  36. We present scMAGeCK, a computational framework to identify genomic elements associated with multiple expression-based phenotypes in CRISPR/Cas9 functional screening that uses single-cell RNA-seq as readout. scMAG...

    Authors: Lin Yang, Yuqing Zhu, Hua Yu, Xiaolong Cheng, Sitong Chen, Yulan Chu, He Huang, Jin Zhang and Wei Li
    Citation: Genome Biology 2020 21:19
  37. Cell-to-cell variation and heterogeneity are fundamental and intrinsic characteristics of stem cell populations, but these differences are masked when bulk cells are used for omic analysis. Single-cell sequenc...

    Authors: Lu Wen and Fuchou Tang
    Citation: Genome Biology 2016 17:71
  38. The REPIC (RNA EPItranscriptome Collection) database records about 10 million peaks called from publicly available m6A-seq and MeRIP-seq data using our unified pipeline. These data...N6-methyladenosine (m6A) modi...

    Authors: Shun Liu, Allen Zhu, Chuan He and Mengjie Chen
    Citation: Genome Biology 2020 21:100
  39. Cell growth and proliferation are tightly connected to ensure that appropriately sized daughter cells are generated following mitosis. Energy stress blocks cell growth and proliferation, a critical response fo...

    Authors: Fabricio Loayza-Puch, Jarno Drost, Koos Rooijers, Rui Lopes, Ran Elkon and Reuven Agami
    Citation: Genome Biology 2013 14:R32
  40. Understanding the variation between well and poorly adapted cattle breeds to local environments and pathogens is essential for breeding cattle with improved climate and disease-resistant phenotypes. Although c...

    Authors: Jessica Powell, Andrea Talenti, Andressa Fisch, Johanneke D. Hemmink, Edith Paxton, Philip Toye, Isabel Santos, Beatriz R. Ferreira, Tim K. Connelley, Liam J. Morrison and James G. D. Prendergast
    Citation: Genome Biology 2023 24:127
  41. Population-scale single-cell RNA sequencing (scRNA-seq) is now viable, enabling finer resolution ... testing, and benchmarking methods but current scRNA-seq simulation frameworks do not simulate population-scale ...

    Authors: Christina B. Azodi, Luke Zappia, Alicia Oshlack and Davis J. McCarthy
    Citation: Genome Biology 2021 22:341

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