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45 result(s) for 'one map land query' within BMC Bioinformatics

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  1. Predicting a list of plant taxa most likely to be observed at a given geographical location and time is useful for many scenarios in biodiversity informatics. Since efficient plant species identification is im...

    Authors: Hans Christian Wittich, Marco Seeland, Jana Wäldchen, Michael Rzanny and Patrick Mäder
    Citation: BMC Bioinformatics 2018 19:190
  2. A B-cell epitope is a group of residues on the surface of an antigen which stimulates humoral responses. Locating these epitopes on antigens is important for the purpose of effective vaccine design. In recent ...

    Authors: Wen Han Chen, Ping Ping Sun, Yang Lu, William W Guo, Yan Xin Huang and Zhi Qiang Ma
    Citation: BMC Bioinformatics 2011 12:199
  3. DNA barcoding technology, which uses a short piece of DNA sequence to identify species, has wide ranges of applications. Until today, a universal DNA barcode marker for plants remains elusive. The rbc L and mat K...

    Authors: Chang Liu, Dong Liang, Ting Gao, Xiaohui Pang, Jingyuan Song, Hui Yao, Jianping Han, Zhihua Liu, Xiaojun Guan, Kun Jiang, Huan Li and Shilin Chen
    Citation: BMC Bioinformatics 2011 12(Suppl 13):S4

    This article is part of a Supplement: Volume 12 Supplement 13

  4. Affordable high-throughput DNA and RNA sequencing technologies are allowing genomic analysis of plant and animal populations and as a result empowering new systems genetics approaches to study complex traits. ...

    Authors: Nanette Christie, Chanaka Mannapperuma, Raphael Ployet, Karen van der Merwe, Niklas Mähler, Nicolas Delhomme, Sanushka Naidoo, Eshchar Mizrachi, Nathaniel R. Street and Alexander A. Myburg
    Citation: BMC Bioinformatics 2021 22:595
  5. PubMed contains millions of abstracts that co-mention terms that describe drugs with other biomedical terms such as genes or diseases. Unique opportunities exist for leveraging these co-mentions by integrating...

    Authors: Eryk Kropiwnicki, Alexander Lachmann, Daniel J. B. Clarke, Zhuorui Xie, Kathleen M. Jagodnik and Avi Ma’ayan
    Citation: BMC Bioinformatics 2022 23:76
  6. Cophylogeny mapping is used to uncover deep coevolutionary associations between two or more phylogenetic histories at a macro coevolutionary scale. As cophylogeny mapping is NP-Hard, this technique relies heav...

    Authors: Benjamin Drinkwater and Michael A Charleston
    Citation: BMC Bioinformatics 2014 15(Suppl 16):S14

    This article is part of a Supplement: Volume 15 Supplement 16

  7. The annotation of protein sequences in public databases has long posed a challenge in molecular biology. This issue is particularly acute for viral proteins, which demonstrate limited homology to known protein...

    Authors: William L. Harrigan, Barbra D. Ferrell, K. Eric Wommack, Shawn W. Polson, Zachary D. Schreiber and Mahdi Belcaid
    Citation: BMC Bioinformatics 2024 25:165
  8. Genomic and genetic studies often require a target list of genes before conducting any hypothesis testing or experimental verification. With the ever-growing number of sequenced genomes and a variety of differ...

    Authors: Ralf C. Mueller, Nicolai Mallig, Jacqueline Smith, Lél Eöry, Richard I. Kuo and Robert H. S. Kraus
    Citation: BMC Bioinformatics 2020 21:502

    The Correction to this article has been published in BMC Bioinformatics 2021 22:472

  9. Microbes are essentail components of all ecosystems because they drive many biochemical processes and act as primary producers. In freshwater ecosystems, the biodiversity in and the composition of microbial co...

    Authors: Theodor Sperlea, Stefan Füser, Jens Boenigk and Dominik Heider
    Citation: BMC Bioinformatics 2018 19(Suppl 15):440

    This article is part of a Supplement: Volume 19 Supplement 15

  10. Traditional genome annotation systems were developed in a very different computing era, one where the World Wide Web was just emerging. Consequently, these systems are built as centralized black boxes focused ...

    Authors: Daniel J Quest, Miriam L Land, Thomas S Brettin and Robert W Cottingham
    Citation: BMC Bioinformatics 2010 11(Suppl 6):S15

    This article is part of a Supplement: Volume 11 Supplement 6

  11. Gene expression in plant chloroplasts and mitochondria is affected by RNA editing. Numerous C-to-U conversions, accompanied by reverse U-to-C exchanges in some plant clades, alter the genetic information encod...

    Authors: Henning Lenz, Anke Hein and Volker Knoop
    Citation: BMC Bioinformatics 2018 19:255
  12. Increasingly large amounts of DNA sequencing data are being generated within the Wellcome Trust Sanger Institute (WTSI). The traditional file system struggles to handle these increasing amounts of sequence dat...

    Authors: Gen-Tao Chiang, Peter Clapham, Guoying Qi, Kevin Sale and Guy Coates
    Citation: BMC Bioinformatics 2011 12:361
  13. T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherapies because they are relevant to a large p...

    Authors: Guang Lan Zhang, Asif M Khan, Kellathur N Srinivasan, AT Heiny, KX Lee, Chee Keong Kwoh, J Thomas August and Vladimir Brusic
    Citation: BMC Bioinformatics 2008 9(Suppl 1):S19

    This article is part of a Supplement: Volume 9 Supplement 1

  14. To address the need for easy and reliable species classification in plant genetic resources collections, we assessed the potential of five classifiers (Random Forest, Neighbour-Joining, 1-Nearest Neighbour, a ...

    Authors: Artur van Bemmelen van der Plaat, Rob van Treuren and Theo J. L. van Hintum
    Citation: BMC Bioinformatics 2021 22:173
  15. Physcomitrella patens, a haploid dominant plant, is fast becoming a useful molecular genetics and bioinformatics tool due to its key phylogenetic position as a bryophyte in the post-genomic era. Genome sequences...

    Authors: Scott Schuette, Brian Piatkowski, Aaron Corley, Daniel Lang and Matt Geisler
    Citation: BMC Bioinformatics 2015 16:89
  16. ESTs or variable sequence reads can be available in prokaryotic studies well before a complete genome is known. Use cases include (i) transcriptome studies or (ii) single cell sequencing of bacteria. Without s...

    Authors: Chunguang Liang, Alexander Schmid, María José López-Sánchez, Andres Moya, Roy Gross, Jörg Bernhardt and Thomas Dandekar
    Citation: BMC Bioinformatics 2009 10:391
  17. One of the main challenges when analyzing complex metagenomics data is the fact that large amounts of information need to be presented in a comprehensive and easy-to-navigate way. In the process of analyzing F...

    Authors: Adam Thrash, Mark Arick II, Robyn A. Barbato, Robert M. Jones, Thomas A. Douglas, Julie Esdale, Edward J. Perkins and Natàlia Garcia-Reyero
    Citation: BMC Bioinformatics 2019 20(Suppl 2):103

    This article is part of a Supplement: Volume 20 Supplement 2

  18. With the advent of metagenomics, the importance of microorganisms and how their interactions are relevant to ecosystem resilience, sustainability, and human health has become evident. Cataloging and preserving...

    Authors: Josh L. Espinoza and Chris L. Dupont
    Citation: BMC Bioinformatics 2022 23:419
  19. As genomic studies continue to implicate non-coding sequences in disease, testing the roles of these variants requires insights into the cell type(s) in which they are likely to be mediating their effects. Pri...

    Authors: Samuel Rosean, Eric A. Sosa, Dónal O’Shea, Srilakshmi M. Raj, Cathal Seoighe and John M. Greally
    Citation: BMC Bioinformatics 2024 25:179
  20. De novo genome assembly is essential to modern genomics studies. As it is not biased by a reference, it is also a useful method for studying genomes with high variation, such as cancer genomes. De novo short-read...

    Authors: Vladimir Nikolić, Amirhossein Afshinfard, Justin Chu, Johnathan Wong, Lauren Coombe, Ka Ming Nip, René L. Warren and Inanç Birol
    Citation: BMC Bioinformatics 2022 23:246
  21. Computing alignments between two or more sequences are common operations frequently performed in computational molecular biology. The continuing growth of biological sequence databases establishes the need for...

    Authors: Haidong Lan, Yuandong Chan, Kai Xu, Bertil Schmidt, Shaoliang Peng and Weiguo Liu
    Citation: BMC Bioinformatics 2016 17(Suppl 9):267

    This article is part of a Supplement: Volume 17 Supplement 9

  22. Bioactive peptides, including biological sources-derived peptides with different biological activities, are protein fragments that influence the functions or conditions of organisms, in particular humans and a...

    Authors: Krittima Anekthanakul, Apiradee Hongsthong, Jittisak Senachak and Marasri Ruengjitchatchawalya
    Citation: BMC Bioinformatics 2018 19:149
  23. Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositions and are not accompanied by a peer-revi...

    Authors: Dana Weekes, S Sri Krishna, Constantina Bakolitsa, Ian A Wilson, Adam Godzik and John Wooley
    Citation: BMC Bioinformatics 2010 11:426
  24. Understanding the Mechanism of Action (MoA) of a compound is an often challenging but equally crucial aspect of drug discovery that can help improve both its efficacy and safety. Computational methods to aid M...

    Authors: Layla Hosseini-Gerami, Rosa Hernansaiz Ballesteros, Anika Liu, Howard Broughton, David Andrew Collier and Andreas Bender
    Citation: BMC Bioinformatics 2023 24:344
  25. Bioluminescence is a process in which light is emitted by a living organism. Most creatures that emit light are sea creatures, but some insects, plants, fungi etc, also emit light. The biotechnological applica...

    Authors: Krishna Kumar Kandaswamy, Ganesan Pugalenthi, Mehrnaz Khodam Hazrati, Kai-Uwe Kalies and Thomas Martinetz
    Citation: BMC Bioinformatics 2011 12:345
  26. Several regulators of programmed cell death (PCD) in plants encode proteins with putative lipid-binding domains. Among them, VAD1 is a regulator of PCD propagation harboring a GRAM putative lipid-binding domai...

    Authors: Mehdi Khafif, Ludovic Cottret, Claudine Balagué and Sylvain Raffaele
    Citation: BMC Bioinformatics 2014 15:222
  27. With the advent of low cost, fast sequencing technologies metagenomic analyses are made possible. The large data volumes gathered by these techniques and the unpredictable diversity captured in them are still,...

    Authors: Daniel Langenkämper, Alexander Goesmann and Tim Wilhelm Nattkemper
    Citation: BMC Bioinformatics 2014 15:384
  28. The life-science community faces a major challenge in handling “big data”, highlighting the need for high quality infrastructures capable of sharing and publishing research data. Data preservation, analysis, a...

    Authors: Daniel Arend, Matthias Lange, Jinbo Chen, Christian Colmsee, Steffen Flemming, Denny Hecht and Uwe Scholz
    Citation: BMC Bioinformatics 2014 15:214
  29. Selection for feed efficiency is crucial for overall profitability and sustainability in dairy cattle production. Key regulator genes and genetic markers derived from co-expression networks underlying feed eff...

    Authors: S. M. Salleh, G. Mazzoni, P. Løvendahl and H. N. Kadarmideen
    Citation: BMC Bioinformatics 2018 19:513
  30. Authors: Eric C. Rouchka, Julia H. Chariker, David A. Tieri, Juw Won Park, Shreedharkumar Rajurkar, Vikas Singh, Nishchal K. Verma, Yan Cui, Mark Farman, Bradford Condon, Neil Moore, Jerzy Jaromczyk, Jolanta Jaromczyk, Daniel Harris, Patrick Calie, Eun Kyong Shin…
    Citation: BMC Bioinformatics 2017 18(Suppl 9):377

    This article is part of a Supplement: Volume 18 Supplement 9

    The Correction to this article has been published in BMC Bioinformatics 2017 18:490

  31. The identification of mutations that confer unique properties to a pathogen, such as host range, is of fundamental importance in the fight against disease. This paper describes a novel method for identifying a...

    Authors: Olivo Miotto, AT Heiny, Tin Wee Tan, J Thomas August and Vladimir Brusic
    Citation: BMC Bioinformatics 2008 9(Suppl 1):S18

    This article is part of a Supplement: Volume 9 Supplement 1

  32. Biomedical research projects deal with data management requirements from multiple sources like funding agencies’ guidelines, publisher policies, discipline best practices, and their own users’ needs. We descri...

    Authors: M. Suhr, C. Lehmann, C. R. Bauer, T. Bender, C. Knopp, L. Freckmann, B. Öst Hansen, C. Henke, G. Aschenbrandt, L. K. Kühlborn, S. Rheinländer, L. Weber, B. Marzec, M. Hellkamp, P. Wieder, U. Sax…
    Citation: BMC Bioinformatics 2020 21:582
  33. Bioinformatics tools designed to identify lentiviral or retroviral vector insertion sites in the genome of host cells are used to address the safety and long-term efficacy of hematopoietic stem cell gene thera...

    Authors: Giulio Spinozzi, Andrea Calabria, Stefano Brasca, Stefano Beretta, Ivan Merelli, Luciano Milanesi and Eugenio Montini
    Citation: BMC Bioinformatics 2017 18:520
  34. Genome-wide gene expression profiling of mammalian cells is becoming a staple of many published biomedical and biological research studies. Such data is deposited into data repositories such as the Gene Expres...

    Authors: Gregory W. Gundersen, Kathleen M. Jagodnik, Holly Woodland, Nicholas F. Fernandez, Kevin Sani, Anders B. Dohlman, Peter Man-Un Ung, Caroline D. Monteiro, Avner Schlessinger and Avi Ma’ayan
    Citation: BMC Bioinformatics 2016 17:461
  35. Processing and analysis of DNA sequences obtained from next-generation sequencing (NGS) face some difficulties in terms of the correct prediction of DNA sequencing outcomes without the implementation of bioinf...

    Authors: Sergey Shityakov, Elena Bencurova, Carola Förster and Thomas Dandekar
    Citation: BMC Bioinformatics 2020 21:132
  36. The notion of heme as a regulator of many physiological processes via transient binding to proteins is one that is recently being acknowledged. The broad spectrum of the effects of heme makes it important to i...

    Authors: Ajay Abisheck Paul George, Mauricio Lacerda, Benjamin Franz Syllwasschy, Marie-Thérèse Hopp, Amelie Wißbrock and Diana Imhof
    Citation: BMC Bioinformatics 2020 21:124

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