Skip to main content

Articles

Page 47 of 161

  1. Authors: Valentina Proserpio, Andrea Piccolo, Liora Haim-Vilmovsky, Gozde Kar, Tapio Lönnberg, Valentine Svensson, Jhuma Pramanik, Kedar Nath Natarajan, Weichao Zhai, Xiuwei Zhang, Giacomo Donati, Melis Kayikci, Jurij Kotar, Andrew N. J. McKenzie, Ruddy Montandon, Kylie R. James…
    Citation: Genome Biology 2016 17:133

    The original article was published in Genome Biology 2016 17:103

  2. Mash extends the MinHash dimensionality-reduction technique to include a pairwise mutation distance and P value significance test, enabling the efficient clustering and search of massive sequence collections. Mas...

    Authors: Brian D. Ondov, Todd J. Treangen, Páll Melsted, Adam B. Mallonee, Nicholas H. Bergman, Sergey Koren and Adam M. Phillippy
    Citation: Genome Biology 2016 17:132
  3. PolyA– RNAs have not been widely analyzed in human pre-implantation embryos due to the scarcity of materials. In particular, circular RNA (circRNA), a novel type of polyA– RNA, has not been characterized durin...

    Authors: Yujiao Dang, Liying Yan, Boqiang Hu, Xiaoying Fan, Yixin Ren, Rong Li, Ying Lian, Jie Yan, Qingqing Li, Yan Zhang, Min Li, Xiulian Ren, Jin Huang, Yuqi Wu, Ping Liu, Lu Wen…
    Citation: Genome Biology 2016 17:130
  4. Distinguishing the driver mutations from somatic mutations in a tumor genome is one of the major challenges of cancer research. This challenge is more acute and far from solved for non-coding mutations. Here w...

    Authors: Loris Mularoni, Radhakrishnan Sabarinathan, Jordi Deu-Pons, Abel Gonzalez-Perez and Núria López-Bigas
    Citation: Genome Biology 2016 17:128
  5. Capture Hi-C (CHi-C) is a method for profiling chromosomal interactions involving targeted regions of interest, such as gene promoters, globally and at high resolution. Signal detection in CHi-C data involves ...

    Authors: Jonathan Cairns, Paula Freire-Pritchett, Steven W. Wingett, Csilla Várnai, Andrew Dimond, Vincent Plagnol, Daniel Zerbino, Stefan Schoenfelder, Biola-Maria Javierre, Cameron Osborne, Peter Fraser and Mikhail Spivakov
    Citation: Genome Biology 2016 17:127
  6. Glioblastoma (GBM) is the most common and aggressive type of brain tumor. Currently, GBM has an extremely poor outcome and there is no effective treatment. In this context, genomic and transcriptomic analyses ...

    Authors: Bruna R. Correa, Patricia Rosa de Araujo, Mei Qiao, Suzanne C. Burns, Chen Chen, Richard Schlegel, Seema Agarwal, Pedro A. F. Galante and Luiz O. F. Penalva
    Citation: Genome Biology 2016 17:125
  7. The yellow potato cyst nematode, Globodera rostochiensis, is a devastating plant pathogen of global economic importance. This biotrophic parasite secretes effectors from pharyngeal glands, some of which were acqu...

    Authors: Sebastian Eves-van den Akker, Dominik R. Laetsch, Peter Thorpe, Catherine J. Lilley, Etienne G. J. Danchin, Martine Da Rocha, Corinne Rancurel, Nancy E. Holroyd, James A. Cotton, Amir Szitenberg, Eric Grenier, Josselin Montarry, Benjamin Mimee, Marc-Olivier Duceppe, Ian Boyes, Jessica M. C. Marvin…
    Citation: Genome Biology 2016 17:124
  8. Authors: Maite Mendioroz, Catherine Do, Xiaoling Jiang, Chunhong Liu, Huferesh K. Darbary, Charles F. Lang, John Lin, Anna Thomas, Sayeda Abu-Amero, Philip Stanier, Alexis Temkin, Alexander Yale, Meng-Min Liu, Yang Li, Martha Salas, Kristi Kerkel…
    Citation: Genome Biology 2016 17:123

    The original article was published in Genome Biology 2015 16:263

  9. The Ensembl Variant Effect Predictor is a powerful toolset for the analysis, annotation, and prioritization of genomic variants in coding and non-coding regions. It provides access to an extensive collection o...

    Authors: William McLaren, Laurent Gil, Sarah E. Hunt, Harpreet Singh Riat, Graham R. S. Ritchie, Anja Thormann, Paul Flicek and Fiona Cunningham
    Citation: Genome Biology 2016 17:122
  10. Predicting dynamics of host-microbial ecosystems is crucial for the rational design of bacteriotherapies. We present MDSINE, a suite of algorithms for inferring dynamical systems models from microbiome time-se...

    Authors: Vanni Bucci, Belinda Tzen, Ning Li, Matt Simmons, Takeshi Tanoue, Elijah Bogart, Luxue Deng, Vladimir Yeliseyev, Mary L. Delaney, Qing Liu, Bernat Olle, Richard R. Stein, Kenya Honda, Lynn Bry and Georg K. Gerber
    Citation: Genome Biology 2016 17:121
  11. For many genes, RNA polymerase II stably pauses before transitioning to productive elongation. Although polymerase II pausing has been shown to be a mechanism for regulating transcriptional activation, the ext...

    Authors: Daniel S. Day, Bing Zhang, Sean M. Stevens, Francesco Ferrari, Erica N. Larschan, Peter J. Park and William T. Pu
    Citation: Genome Biology 2016 17:120
  12. The integration of genome annotations is critical to the identification of genetic variants that are relevant to studies of disease or other traits. However, comprehensive variant annotation with diverse file ...

    Authors: Brent S. Pedersen, Ryan M. Layer and Aaron R. Quinlan
    Citation: Genome Biology 2016 17:118
  13. Alzheimer’s disease (AD) is a neurodegenerative disease of the brain and the most common form of dementia in the elderly. Aneuploidy, a state in which cells have an abnormal number of chromosomes, has been pro...

    Authors: Hilda van den Bos, Diana C. J. Spierings, Aaron Taudt, Bjorn Bakker, David Porubský, Ester Falconer, Carolina Novoa, Nancy Halsema, Hinke G. Kazemier, Karina Hoekstra-Wakker, Victor Guryev, Wilfred F. A. den Dunnen, Floris Foijer, Maria Colomé-Tatché, Hendrikus W. G. M. Boddeke and Peter M. Lansdorp
    Citation: Genome Biology 2016 17:116

    The Erratum to this article has been published in Genome Biology 2016 17:143

  14. Chromosome instability leads to aneuploidy, a state in which cells have abnormal numbers of chromosomes, and is found in two out of three cancers. In a chromosomal instable p53 deficient mouse model with accel...

    Authors: Bjorn Bakker, Aaron Taudt, Mirjam E. Belderbos, David Porubsky, Diana C. J. Spierings, Tristan V. de Jong, Nancy Halsema, Hinke G. Kazemier, Karina Hoekstra-Wakker, Allan Bradley, Eveline S. J. M. de Bont, Anke van den Berg, Victor Guryev, Peter M. Lansdorp, Maria Colomé-Tatché and Floris Foijer
    Citation: Genome Biology 2016 17:115
  15. Chromosome conformation capture methods are being increasingly used to study three-dimensional genome architecture in multiple cell types and species. An important challenge is to examine changes in three-dime...

    Authors: Alireza Fotuhi Siahpirani, Ferhat Ay and Sushmita Roy
    Citation: Genome Biology 2016 17:114
  16. Computational methods have been developed to reconstruct evolutionary lineages from tumors using single-cell genomic data. The resulting tumor trees have important applications in cancer research and clinical ...

    Authors: Alexander Davis and Nicholas E. Navin
    Citation: Genome Biology 2016 17:113
  17. Current approaches to single-cell transcriptomic analysis are computationally intensive and require assay-specific modeling, which limits their scope and generality. We propose a novel method that compares and...

    Authors: Vasilis Ntranos, Govinda M. Kamath, Jesse M. Zhang, Lior Pachter and David N. Tse
    Citation: Genome Biology 2016 17:112
  18. High-throughput sequencing enables unbiased profiling of microbial communities, universal pathogen detection, and host response to infectious diseases. However, computation times and algorithmic inaccuracies h...

    Authors: Steven Flygare, Keith Simmon, Chase Miller, Yi Qiao, Brett Kennedy, Tonya Di Sera, Erin H. Graf, Keith D. Tardif, Aurélie Kapusta, Shawn Rynearson, Chris Stockmann, Krista Queen, Suxiang Tong, Karl V. Voelkerding, Anne Blaschke, Carrie L. Byington…
    Citation: Genome Biology 2016 17:111
  19. Genome-scale models require an objective function representing what an organism strives for. A method has been developed to infer this fundamental biological function from data.

    Authors: Adam M. Feist and Bernhard O. Palsson
    Citation: Genome Biology 2016 17:110
  20. Genome-scale flux balance models of metabolism provide testable predictions of all metabolic rates in an organism, by assuming that the cell is optimizing a metabolic goal known as the objective function. We i...

    Authors: Qi Zhao, Arion I. Stettner, Ed Reznik, Ioannis Ch. Paschalidis and Daniel Segrè
    Citation: Genome Biology 2016 17:109
  21. Soluble protein and lipid mediators play essential roles in the tumor environment, but their cellular origins, targets, and clinical relevance are only partially known. We have addressed this question for the ...

    Authors: Silke Reinartz, Florian Finkernagel, Till Adhikary, Verena Rohnalter, Tim Schumann, Yvonne Schober, W. Andreas Nockher, Andrea Nist, Thorsten Stiewe, Julia M. Jansen, Uwe Wagner, Sabine Müller-Brüsselbach and Rolf Müller
    Citation: Genome Biology 2016 17:108
  22. Abhay Sharma brings two arguments in favor of transgenerational epigenetic inheritance (TGEI) in mammals when criticizing our work. He uses probability calculations and finds that the probability of obtaining ...

    Authors: Piroska E. Szabó
    Citation: Genome Biology 2016 17:105
  23. A new study shows how RNA-induced silencing complex (RISC)-mediated posttranscriptional regulation of chromatin remodelers allows for tight control of the naïve-to-primed pluripotency transition.

    Authors: Diana Guallar and Jianlong Wang
    Citation: Genome Biology 2016 17:104
  24. Differentiation of lymphocytes is frequently accompanied by cell cycle changes, interplay that is of central importance for immunity but is still incompletely understood. Here, we interrogate and quantitativel...

    Authors: Valentina Proserpio, Andrea Piccolo, Liora Haim-Vilmovsky, Gozde Kar, Tapio Lönnberg, Valentine Svensson, Jhuma Pramanik, Kedar Nath Natarajan, Weichao Zhai, Xiuwei Zhang, Giacomo Donati, Melis Kayikci, Jurij Kotar, Andrew N. J. McKenzie, Ruddy Montandon, Oliver Billker…
    Citation: Genome Biology 2016 17:103

    The Erratum to this article has been published in Genome Biology 2016 17:133

  25. The assembly of large, repeat-rich eukaryotic genomes represents a significant challenge in genomics. While long-read technologies have made the high-quality assembly of small, microbial genomes increasingly f...

    Authors: Song Gao, Denis Bertrand, Burton K. H. Chia and Niranjan Nagarajan
    Citation: Genome Biology 2016 17:102
  26. Transposable elements (TEs) are notable drivers of genetic innovation. Over evolutionary time, TE insertions can supply new promoter, enhancer, and insulator elements to protein-coding genes and establish nove...

    Authors: Patricia Gerdes, Sandra R. Richardson, Dixie L. Mager and Geoffrey J. Faulkner
    Citation: Genome Biology 2016 17:100
  27. Genomic mutations caused by cytotoxic agents used in cancer chemotherapy may cause secondary malignancies as well as contribute to the evolution of treatment-resistant tumour cells. The stable diploid genome o...

    Authors: Bernadett Szikriszt, Ádám Póti, Orsolya Pipek, Marcin Krzystanek, Nnennaya Kanu, János Molnár, Dezső Ribli, Zoltán Szeltner, Gábor E. Tusnády, István Csabai, Zoltan Szallasi, Charles Swanton and Dávid Szüts
    Citation: Genome Biology 2016 17:99
  28. The recognition of microbe-associated molecular patterns during infection is central to the mounting of an effective immune response. In spite of their importance, it remains difficult to identify these molecu...

    Authors: G. Adam Mott, Shalabh Thakur, Elwira Smakowska, Pauline W. Wang, Youssef Belkhadir, Darrell Desveaux and David S. Guttman
    Citation: Genome Biology 2016 17:98
  29. Almost 20 % of all infectious human diseases are vector borne and, together, are responsible for over one million deaths per annum. Over the past decade, the decreasing costs of massively parallel sequencing t...

    Authors: David C. Rinker, R. Jason Pitts and Laurence J. Zwiebel
    Citation: Genome Biology 2016 17:95
  30. Embryonic stem cells are intrinsically unstable and differentiate spontaneously if they are not shielded from external stimuli. Although the nature of such instability is still controversial, growing evidence ...

    Authors: Luca Pandolfini, Ettore Luzi, Dario Bressan, Nadia Ucciferri, Michele Bertacchi, Rossella Brandi, Silvia Rocchiccioli, Mara D’Onofrio and Federico Cremisi
    Citation: Genome Biology 2016 17:94
  31. Authors: Christina Curtis, Gary N Landis, Donna Folk, Nancy B Wehr, Nicholas Hoe, Morris Waskar, Diana Abdueva, Dmitriy Skvortsov, Daniel Ford, Allan Luu, Ananth Badrinath, Rodney L. Levine, Timothy J. Bradley, Simon Tavaré and John Tower
    Citation: Genome Biology 2016 17:93

    The original article was published in Genome Biology 2007 8:R262

  32. Mutator-like transposable elements, a class of DNA transposons, exist pervasively in both prokaryotic and eukaryotic genomes, with more than 10,000 copies identified in the rice genome...

    Authors: Jun Wang, Yeisoo Yu, Feng Tao, Jianwei Zhang, Dario Copetti, Dave Kudrna, Jayson Talag, Seunghee Lee, Rod A. Wing and Chuanzhu Fan
    Citation: Genome Biology 2016 17:92
  33. Efficient tools for data management and integration are essential for many aspects of high-throughput biology. In particular, annotations of genes and human genetic variants are commonly used but highly fragme...

    Authors: Jiwen Xin, Adam Mark, Cyrus Afrasiabi, Ginger Tsueng, Moritz Juchler, Nikhil Gopal, Gregory S. Stupp, Timothy E. Putman, Benjamin J. Ainscough, Obi L. Griffith, Ali Torkamani, Patricia L. Whetzel, Christopher J. Mungall, Sean D. Mooney, Andrew I. Su and Chunlei Wu
    Citation: Genome Biology 2016 17:91
  34. Single-cell transcriptome and single-cell methylome technologies have become powerful tools to study RNA and DNA methylation profiles of single cells at a genome-wide scale. A major challenge has been to under...

    Authors: Youjin Hu, Kevin Huang, Qin An, Guizhen Du, Ganlu Hu, Jinfeng Xue, Xianmin Zhu, Cun-Yu Wang, Zhigang Xue and Guoping Fan
    Citation: Genome Biology 2016 17:88
  35. Understanding the mutational heterogeneity within tumors is a keystone for the development of efficient cancer therapies. Here, we present SCITE, a stochastic search algorithm to identify the evolutionary hist...

    Authors: Katharina Jahn, Jack Kuipers and Niko Beerenwinkel
    Citation: Genome Biology 2016 17:86
  36. Many different methods exist to adjust for variability in cell-type mixture proportions when analyzing DNA methylation studies. Here we present the result of an extensive simulation study, built on cell-separa...

    Authors: Kevin McGregor, Sasha Bernatsky, Ines Colmegna, Marie Hudson, Tomi Pastinen, Aurélie Labbe and Celia M.T. Greenwood
    Citation: Genome Biology 2016 17:84
  37. As in animals, cell–cell communication plays a pivotal role in male–female recognition during plant sexual reproduction. Prelaid peptides secreted from the female reproductive tissues guide pollen tubes toward...

    Authors: Said Hafidh, David Potěšil, Jan Fíla, Věra Čapková, Zbyněk Zdráhal and David Honys
    Citation: Genome Biology 2016 17:81

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 10.1
    5-year Journal Impact Factor: 16.5
    Source Normalized Impact per Paper (SNIP): 2.521
    SCImago Journal Rank (SJR): 7.197

    Speed 2023
    Submission to first editorial decision (median days): 22
    Submission to acceptance (median days): 277

    Usage 2023
    Downloads: 6,688,476
    Altmetric mentions: 12,515

Peer Review Taxonomy

This journal is participating in a pilot of NISO/STM's Working Group on Peer Review Taxonomy, to identify and standardize definitions and terminology in peer review practices in order to make the peer review process for articles and journals more transparent. Further information on the pilot is available here.

The following summary describes the peer review process for this journal:

  • Identity transparency: Single anonymized
  • Reviewer interacts with: Editor
  • Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

We welcome your feedback on this Peer Review Taxonomy Pilot. Please can you take the time to complete this short survey.