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  1. A common task in analyzing microarray data is to determine which genes are differentially expressed across two (or more) kind of tissue samples or samples submitted under experimental conditions. Several stati...

    Authors: Carina Silva-Fortes, Maria Antónia Amaral Turkman and Lisete Sousa
    Citation: BMC Bioinformatics 2012 13:147
  2. We explore techniques for performing model combination between the UMass and Stanford biomedical event extraction systems. Both sub-components address event extraction as a structured prediction problem, and u...

    Authors: David McClosky, Sebastian Riedel, Mihai Surdeanu, Andrew McCallum and Christopher D Manning
    Citation: BMC Bioinformatics 2012 13(Suppl 11):S9

    This article is part of a Supplement: Volume 13 Supplement 11

  3. Bacteria biotopes cover a wide range of diverse habitats including animal and plant hosts, natural, medical and industrial environments. The high volume of publications in the microbiology domain provides a ri...

    Authors: Zorana Ratkovic, Wiktoria Golik and Pierre Warnier
    Citation: BMC Bioinformatics 2012 13(Suppl 11):S8

    This article is part of a Supplement: Volume 13 Supplement 11

  4. In recent years, biological event extraction has emerged as a key natural language processing task, aiming to address the information overload problem in accessing the molecular biology literature. The BioNLP ...

    Authors: Halil Kilicoglu and Sabine Bergler
    Citation: BMC Bioinformatics 2012 13(Suppl 11):S7

    This article is part of a Supplement: Volume 13 Supplement 11

  5. Text mining tools have gained popularity to process the vast amount of available research articles in the biomedical literature. It is crucial that such tools extract information with a sufficient level of det...

    Authors: Sofie Van Landeghem, Jari Björne, Thomas Abeel, Bernard De Baets, Tapio Salakoski and Yves Van de Peer
    Citation: BMC Bioinformatics 2012 13(Suppl 11):S6

    This article is part of a Supplement: Volume 13 Supplement 11

  6. Biomedical event extraction has attracted substantial attention as it can assist researchers in understanding the plethora of interactions among genes that are described in publications in molecular biology. W...

    Authors: Andreas Vlachos and Mark Craven
    Citation: BMC Bioinformatics 2012 13(Suppl 11):S5

    This article is part of a Supplement: Volume 13 Supplement 11

  7. We present a system for extracting biomedical events (detailed descriptions of biomolecular interactions) from research articles, developed for the BioNLP'11 Shared Task. Our goal is to develop a system easily...

    Authors: Jari Björne, Filip Ginter and Tapio Salakoski
    Citation: BMC Bioinformatics 2012 13(Suppl 11):S4

    This article is part of a Supplement: Volume 13 Supplement 11

  8. We present the BioNLP 2011 Shared Task Bacteria Track, the first Information Extraction challenge entirely dedicated to bacteria. It includes three tasks that cover different levels of biological knowledge. Th...

    Authors: Robert Bossy, Julien Jourde, Alain-Pierre Manine, Philippe Veber, Erick Alphonse, Maarten van de Guchte, Philippe Bessières and Claire Nédellec
    Citation: BMC Bioinformatics 2012 13(Suppl 11):S3

    This article is part of a Supplement: Volume 13 Supplement 11

  9. We present the preparation, resources, results and analysis of three tasks of the BioNLP Shared Task 2011: the main tasks on Infectious Diseases (ID) and Epigenetics and Post-translational Modifications (EPI),...

    Authors: Sampo Pyysalo, Tomoko Ohta, Rafal Rak, Dan Sullivan, Chunhong Mao, Chunxia Wang, Bruno Sobral, Jun'ichi Tsujii and Sophia Ananiadou
    Citation: BMC Bioinformatics 2012 13(Suppl 11):S2

    This article is part of a Supplement: Volume 13 Supplement 11

  10. The Genia task, when it was introduced in 2009, was the first community-wide effort to address a fine-grained, structural information extraction from biomedical literature. Arranged for the second time as one ...

    Authors: Jin-Dong Kim, Ngan Nguyen, Yue Wang, Jun'ichi Tsujii, Toshihisa Takagi and Akinori Yonezawa
    Citation: BMC Bioinformatics 2012 13(Suppl 11):S1

    This article is part of a Supplement: Volume 13 Supplement 11

  11. Proteins that interact in vivo tend to reside within the same or "adjacent" subcellular compartments. This observation provides opportunities to reveal protein subcellular localization in the context of the pr...

    Authors: Jonathan Q Jiang and Maoying Wu
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S20

    This article is part of a Supplement: Volume 13 Supplement 10

  12. Most computational algorithms mainly focus on detecting highly connected subgraphs in PPI networks as protein complexes but ignore their inherent organization. Furthermore, many of these algorithms are computa...

    Authors: Jieyue He, Chaojun Li, Baoliu Ye and Wei Zhong
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S19

    This article is part of a Supplement: Volume 13 Supplement 10

  13. Stable evolutionary signal has been observed in a yeast protein-protein interaction (PPI) network. These finding suggests more connected regions of a PPI network to be potential mediators of evolutionary infor...

    Authors: Pavol Jancura, Eleftheria Mavridou, Enrique Carrillo-de Santa Pau and Elena Marchiori
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S18

    This article is part of a Supplement: Volume 13 Supplement 10

  14. Molecular predictor is a new tool for disease diagnosis, which uses gene expression to classify diagnostic category of a patient. The statistical challenge for constructing such a predictor is that there are t...

    Authors: Pingzhao Hu, Shelley B Bull and Hui Jiang
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S17

    This article is part of a Supplement: Volume 13 Supplement 10

  15. Biological networks provide fundamental insights into the functional characterization of genes and their products, the characterization of DNA-protein interactions, the identification of regulatory mechanisms,...

    Authors: Wen-Chieh Chang, Sudheer Vakati, Roland Krause and Oliver Eulenstein
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S16

    This article is part of a Supplement: Volume 13 Supplement 10

  16. Analysis of gene expression data in terms of a priori-defined gene sets has recently received significant attention as this approach typically yields more compact and interpretable results than those produced ...

    Authors: Matěj Holec, Jiří Kléma, Filip Železný and Jakub Tolar
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S15

    This article is part of a Supplement: Volume 13 Supplement 10

  17. Evolutionary methods are increasingly challenged by the wealth of fast growing resources of genomic sequence information. Evolutionary events, like gene duplication, loss, and deep coalescence, account more th...

    Authors: Pawel Górecki and Oliver Eulenstein
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S14

    This article is part of a Supplement: Volume 13 Supplement 10

  18. Horizontal gene transfer (HGT) is a process that facilitates the transfer of genetic material between organisms that are not directly related, and thus can affect both the rate of evolution and emergence of tr...

    Authors: Vadim Mozhayskiy and Ilias Tagkopoulos
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S13

    This article is part of a Supplement: Volume 13 Supplement 10

  19. To infer a species phylogeny from unlinked genes, phylogenetic inference methods must confront the biological processes that create incongruence between gene trees and the species phylogeny. Intra-specific gen...

    Authors: Harris T Lin, J Gordon Burleigh and Oliver Eulenstein
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S12

    This article is part of a Supplement: Volume 13 Supplement 10

  20. Gene tree - species tree reconciliation problems infer the patterns and processes of gene evolution within a species tree. Gene tree parsimony approaches seek the evolutionary scenario that implies the fewest ...

    Authors: Ruchi Chaudhary, J Gordon Burleigh and Oliver Eulenstein
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S11

    This article is part of a Supplement: Volume 13 Supplement 10

  21. During their lifetime, microbes are exposed to environmental variations, each with its distinct spatio-temporal dynamics. Microbial communities display a remarkable degree of phenotypic plasticity, and highly-...

    Authors: Vadim Mozhayskiy and Ilias Tagkopoulos
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S10

    This article is part of a Supplement: Volume 13 Supplement 10

  22. Ancestral gene order reconstruction for flowering plants has lagged behind developments in yeasts, insects and higher animals, because of the recency of widespread plant genome sequencing, sequencers' embargoe...

    Authors: Chunfang Zheng and David Sankoff
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S9

    This article is part of a Supplement: Volume 13 Supplement 10

  23. Streptomycetes are filamentous soil-dwelling bacteria. They are best known as the producers of a great variety of natural products such as antibiotics, antifungals, antiparasitics, and anticancer agents and th...

    Authors: Zhan Zhou, Jianying Gu, Yong-Quan Li and Yufeng Wang
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S8

    This article is part of a Supplement: Volume 13 Supplement 10

  24. A wealth of clustering algorithms has been applied to gene co-expression experiments. These algorithms cover a broad range of approaches, from conventional techniques such as k-means and hierarchical clustering, ...

    Authors: Jeremy J Jay, John D Eblen, Yun Zhang, Mikael Benson, Andy D Perkins, Arnold M Saxton, Brynn H Voy, Elissa J Chesler and Michael A Langston
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S7

    This article is part of a Supplement: Volume 13 Supplement 10

  25. Next-generation sequencing allows the analysis of an unprecedented number of viral sequence variants from infected patients, presenting a novel opportunity for understanding virus evolution, drug resistance an...

    Authors: Pavel Skums, Zoya Dimitrova, David S Campo, Gilberto Vaughan, Livia Rossi, Joseph C Forbi, Jonny Yokosawa, Alex Zelikovsky and Yury Khudyakov
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S6

    This article is part of a Supplement: Volume 13 Supplement 10

  26. The maximum clique enumeration (MCE) problem asks that we identify all maximum cliques in a finite, simple graph. MCE is closely related to two other well-known and widely-studied problems: the maximum clique ...

    Authors: John D Eblen, Charles A Phillips, Gary L Rogers and Michael A Langston
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S5

    This article is part of a Supplement: Volume 13 Supplement 10

  27. Three-dimensional (3D) reconstruction in electron tomography (ET) has emerged as a leading technique to elucidate the molecular structures of complex biological specimens. Blob-based iterative methods are adva...

    Authors: Xiaohua Wan, Fa Zhang, Qi Chu and Zhiyong Liu
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S4

    This article is part of a Supplement: Volume 13 Supplement 10

  28. We contribute a novel, ball-histogram approach to DNA-binding propensity prediction of proteins. Unlike state-of-the-art methods based on constructing an ad-hoc set of features describing physicochemical properti...

    Authors: Andrea Szabóová, Ondřej Kuželka, Filip Železný and Jakub Tolar
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S3

    This article is part of a Supplement: Volume 13 Supplement 10

  29. Identifying the location of binding sites on proteins is of fundamental importance for a wide range of applications including molecular docking, de novo drug design, structure identification and comparison of ...

    Authors: Fei Guo and Lusheng Wang
    Citation: BMC Bioinformatics 2012 13(Suppl 10):S2

    This article is part of a Supplement: Volume 13 Supplement 10

  30. The Exact Call Chemistry for the SOLiD Next-Generation Sequencing platform augments the two-base-encoding chemistry with an additional round of ligation, using an alternative set of probes, that allows some mi...

    Authors: Tim Massingham and Nick Goldman
    Citation: BMC Bioinformatics 2012 13:145
  31. The NCBI Conserved Domain Database (CDD) consists of a collection of multiple sequence alignments of protein domains that are at various stages of being manually curated into evolutionary hierarchies based on ...

    Authors: Andrew F Neuwald, Christopher J Lanczycki and Aron Marchler-Bauer
    Citation: BMC Bioinformatics 2012 13:144
  32. The concept of orthology is key to decoding evolutionary relationships among genes across different species using comparative genomics. QuartetS is a recently reported algorithm for large-scale orthology detec...

    Authors: Chenggang Yu, Valmik Desai, Li Cheng and Jaques Reifman
    Citation: BMC Bioinformatics 2012 13:143
  33. The three-dimensional structure of a protein can be described as a graph where nodes represent residues and the strength of non-covalent interactions between them are edges. These protein contact networks can ...

    Authors: Dhriti Sengupta and Sudip Kundu
    Citation: BMC Bioinformatics 2012 13:142
  34. Computing of sequence similarity results is becoming a limiting factor in metagenome analysis. Sequence similarity search results encoded in an open, exchangeable format have the potential to limit the needs f...

    Authors: Andreas Wilke, Travis Harrison, Jared Wilkening, Dawn Field, Elizabeth M Glass, Nikos Kyrpides, Konstantinos Mavrommatis and Folker Meyer
    Citation: BMC Bioinformatics 2012 13:141
  35. The molecular recognition based on the complementary base pairing of deoxyribonucleic acid (DNA) is the fundamental principle in the fields of genetics, DNA nanotechnology and DNA computing. We present an exha...

    Authors: Alfred Kick, Martin Bönsch and Michael Mertig
    Citation: BMC Bioinformatics 2012 13:138
  36. Two-dimensional polyacrylamide gel electrophoresis (2D PAGE) is commonly used to identify differentially expressed proteins under two or more experimental or observational conditions. Wu et al (2009) developed...

    Authors: Steven H Wu, Michael A Black, Robyn A North and Allen G Rodrigo
    Citation: BMC Bioinformatics 2012 13:137
  37. The identification of gene sets that are significantly impacted in a given condition based on microarray data is a crucial step in current life science research. Most gene set analysis methods treat genes equa...

    Authors: Adi Laurentiu Tarca, Sorin Draghici, Gaurav Bhatti and Roberto Romero
    Citation: BMC Bioinformatics 2012 13:136
  38. Microarray data enables the high-throughput survey of mRNA expression profiles at the genomic level; however, the data presents a challenging statistical problem because of the large number of transcripts with...

    Authors: Mohammad Manir Hossain Mollah, M Nurul Haque Mollah and Hirohisa Kishino
    Citation: BMC Bioinformatics 2012 13:135
  39. Choosing appropriate primers is probably the single most important factor affecting the polymerase chain reaction (PCR). Specific amplification of the intended target requires that primers do not have matches ...

    Authors: Jian Ye, George Coulouris, Irena Zaretskaya, Ioana Cutcutache, Steve Rozen and Thomas L Madden
    Citation: BMC Bioinformatics 2012 13:134
  40. The distance matrix computed from multiple alignments of homologous sequences is widely used by distance-based phylogenetic methods to provide information on the evolution of protein families. This matrix can ...

    Authors: Julien Pelé, Jean-Michel Bécu, Hervé Abdi and Marie Chabbert
    Citation: BMC Bioinformatics 2012 13:133
  41. The analysis of complex diseases is an important problem in human genetics. Because multifactoriality is expected to play a pivotal role, many studies are currently focused on collecting information on the gen...

    Authors: Michele Pinelli, Giovanni Scala, Roberto Amato, Sergio Cocozza and Gennaro Miele
    Citation: BMC Bioinformatics 2012 13:132

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