Skip to main content

Articles

Page 146 of 249

  1. We investigate the relationships between the EC (Enzyme Commission) class, the associated chemical reaction, and the reaction mechanism by building predictive models using Support Vector Machine (SVM), Random ...

    Authors: Neetika Nath and John BO Mitchell
    Citation: BMC Bioinformatics 2012 13:60
  2. As the volume, complexity and diversity of the information that scientists work with on a daily basis continues to rise, so too does the requirement for new analytic software. The analytic software must solve ...

    Authors: John Boyle, Richard Kreisberg, Ryan Bressler and Sarah Killcoyne
    Citation: BMC Bioinformatics 2012 13:58
  3. Flux coupling analysis (FCA) has become a useful tool in the constraint-based analysis of genome-scale metabolic networks. FCA allows detecting dependencies between reaction fluxes of metabolic networks at ste...

    Authors: Abdelhalim Larhlimi, Laszlo David, Joachim Selbig and Alexander Bockmayr
    Citation: BMC Bioinformatics 2012 13:57
  4. Transcript quantification is a long-standing problem in genomics and estimating the relative abundance of alternatively-spliced isoforms from the same transcript is an important special case. Both problems hav...

    Authors: Boyko Kakaradov, Hui Yuan Xiong, Leo J Lee, Nebojsa Jojic and Brendan J Frey
    Citation: BMC Bioinformatics 2012 13(Suppl 6):S11

    This article is part of a Supplement: Volume 13 Supplement 6

  5. A cancer genome is derived from the germline genome through a series of somatic mutations. Somatic structural variants - including duplications, deletions, inversions, translocations, and other rearrangements ...

    Authors: Layla Oesper, Anna Ritz, Sarah J Aerni, Ryan Drebin and Benjamin J Raphael
    Citation: BMC Bioinformatics 2012 13(Suppl 6):S10

    This article is part of a Supplement: Volume 13 Supplement 6

  6. Sequencing of mRNA (RNA-seq) by next generation sequencing technologies is widely used for analyzing the transcriptomic state of a cell. Here, one of the main challenges is the mapping of a sequenced read to i...

    Authors: Thomas Bonfert, Gergely Csaba, Ralf Zimmer and Caroline C Friedel
    Citation: BMC Bioinformatics 2012 13(Suppl 6):S9

    This article is part of a Supplement: Volume 13 Supplement 6

  7. Modern genetics has been transformed by high-throughput sequencing. New experimental designs in model organisms involve analyzing many individuals, pooled and sequenced in groups for increased efficiency. Howe...

    Authors: Matthew D Edwards and David K Gifford
    Citation: BMC Bioinformatics 2012 13(Suppl 6):S8

    This article is part of a Supplement: Volume 13 Supplement 6

  8. Recent advances in sequencing technologies make it possible to comprehensively study structural variations (SVs) using sequence data of large-scale populations. Currently, more efforts have been taken to devel...

    Authors: Jin Zhang, Jiayin Wang and Yufeng Wu
    Citation: BMC Bioinformatics 2012 13(Suppl 6):S6

    This article is part of a Supplement: Volume 13 Supplement 6

  9. In this paper, we address the problem of identifying and quantifying polymorphisms in RNA-seq data when no reference genome is available, without assembling the full transcripts. Based on the fundamental idea ...

    Authors: Gustavo AT Sacomoto, Janice Kielbassa, Rayan Chikhi, Raluca Uricaru, Pavlos Antoniou, Marie-France Sagot, Pierre Peterlongo and Vincent Lacroix
    Citation: BMC Bioinformatics 2012 13(Suppl 6):S5

    This article is part of a Supplement: Volume 13 Supplement 6

  10. High-throughput sequencing of whole genomes and transcriptomes allows one to generate large amounts of sequence data very rapidly and at a low cost. The goal of most mRNA sequencing studies is to perform the c...

    Authors: Ekaterina E Khrameeva and Mikhail S Gelfand
    Citation: BMC Bioinformatics 2012 13(Suppl 6):S4

    This article is part of a Supplement: Volume 13 Supplement 6

  11. Haplotype phasing is a well studied problem in the context of genotype data. With the recent developments in high-throughput sequencing, new algorithms are needed for haplotype phasing, when the number of samp...

    Authors: Anatoly Efros and Eran Halperin
    Citation: BMC Bioinformatics 2012 13(Suppl 6):S3

    This article is part of a Supplement: Volume 13 Supplement 6

  12. RNA-Seq is a technique that uses Next Generation Sequencing to identify transcripts and estimate transcription levels. When applying this technique for quantification, one must contend with reads that align to...

    Authors: Roye Rozov, Eran Halperin and Ron Shamir
    Citation: BMC Bioinformatics 2012 13(Suppl 6):S2

    This article is part of a Supplement: Volume 13 Supplement 6

  13. Stochastic Differential Equations (SDE) are often used to model the stochastic dynamics of biological systems. Unfortunately, rare but biologically interesting behaviors (e.g., oncogenesis) can be difficult to...

    Authors: Sumit Kumar Jha and Christopher James Langmead
    Citation: BMC Bioinformatics 2012 13(Suppl 5):S8

    This article is part of a Supplement: Volume 13 Supplement 5

  14. In this paper we deal with modeling serum proteolysis process from tandem mass spectrometry data. The parameters of peptide degradation process inferred from LC-MS/MS data correspond directly to the activity o...

    Authors: Piotr Dittwald, Jerzy Ostrowski, Jakub Karczmarski and Anna Gambin
    Citation: BMC Bioinformatics 2012 13(Suppl 5):S7

    This article is part of a Supplement: Volume 13 Supplement 5

  15. Since RNA molecules regulate genes and control alternative splicing by allostery, it is important to develop algorithms to predict RNA conformational switches. Some tools, such as paRNAss, RNAshapes and RNAbor, c...

    Authors: Peter Clote, Feng Lou and William A Lorenz
    Citation: BMC Bioinformatics 2012 13(Suppl 5):S6

    This article is part of a Supplement: Volume 13 Supplement 5

  16. Gradual or sudden transitions among different states as exhibited by cell populations in a biological sample under particular conditions or stimuli can be detected and profiled by flow cytometric time course d...

    Authors: Hsiu J Ho, Tsung I Lin, Hannah H Chang, Steven B Haase, Sui Huang and Saumyadipta Pyne
    Citation: BMC Bioinformatics 2012 13(Suppl 5):S5

    This article is part of a Supplement: Volume 13 Supplement 5

  17. Calculating the electrostatic surface potential (ESP) of a biomolecule is critical towards understanding biomolecular function. Because of its quadratic computational complexity (as a function of the number of at...

    Authors: Mayank Daga and Wu-chun Feng
    Citation: BMC Bioinformatics 2012 13(Suppl 5):S4

    This article is part of a Supplement: Volume 13 Supplement 5

  18. Pairwise statistical significance has been recognized to be able to accurately identify related sequences, which is a very important cornerstone procedure in numerous bioinformatics applications. However, it i...

    Authors: Yuhong Zhang, Sanchit Misra, Ankit Agrawal, Md Mostofa Ali Patwary, Wei-keng Liao, Zhiguang Qin and Alok Choudhary
    Citation: BMC Bioinformatics 2012 13(Suppl 5):S3

    This article is part of a Supplement: Volume 13 Supplement 5

  19. A challenging issue in designing computational methods for predicting the gene structure into exons and introns from a cluster of transcript (EST, mRNA) sequences, is guaranteeing accuracy as well as efficienc...

    Authors: Yuri Pirola, Raffaella Rizzi, Ernesto Picardi, Graziano Pesole, Gianluca Della Vedova and Paola Bonizzoni
    Citation: BMC Bioinformatics 2012 13(Suppl 5):S2

    This article is part of a Supplement: Volume 13 Supplement 5

  20. The computational identification of RNAs in genomic sequences requires the identification of signals of RNA sequences. Shannon base pairing entropy is an indicator for RNA secondary structure fold certainty in...

    Authors: Yingfeng Wang, Amir Manzour, Pooya Shareghi, Timothy I Shaw, Ying-Wai Li, Russell L Malmberg and Liming Cai
    Citation: BMC Bioinformatics 2012 13(Suppl 5):S1

    This article is part of a Supplement: Volume 13 Supplement 5

  21. One aim of the in silico characterization of proteins is to identify all residue-positions, which are crucial for function or structure. Several sequence-based algorithms exist, which predict functionally importa...

    Authors: Jan-Oliver Janda, Markus Busch, Fabian Kück, Mikhail Porfenenko and Rainer Merkl
    Citation: BMC Bioinformatics 2012 13:55
  22. Nowadays, it is possible to collect expression levels of a set of genes from a set of biological samples during a series of time points. Such data have three dimensions: gene-sample-time (GST). Thus they are c...

    Authors: Alain B Tchagang, Sieu Phan, Fazel Famili, Heather Shearer, Pierre Fobert, Yi Huang, Jitao Zou, Daiqing Huang, Adrian Cutler, Ziying Liu and Youlian Pan
    Citation: BMC Bioinformatics 2012 13:54
  23. We propose a novel variational Bayes network reconstruction algorithm to extract the most relevant disease factors from high-throughput genomic data-sets. Our algorithm is the only scalable method for regulari...

    Authors: Benjamin A Logsdon, Gabriel E Hoffman and Jason G Mezey
    Citation: BMC Bioinformatics 2012 13:53
  24. Detecting candidate markers in transcriptomic studies often encounters difficulties in complex diseases, particularly when overall signals are weak and sample size is small. Covariates including demographic, c...

    Authors: Xingbin Wang, Yan Lin, Chi Song, Etienne Sibille and George C Tseng
    Citation: BMC Bioinformatics 2012 13:52
  25. The identification of robust lists of molecular biomarkers related to a disease is a fundamental step for early diagnosis and treatment. However, methodologies for biomarker discovery using microarray data oft...

    Authors: Tiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, Andrea Bisognin and Barbara Di Camillo
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S22

    This article is part of a Supplement: Volume 13 Supplement 4

  26. It is known from recent studies that more than 90% of human multi-exon genes are subject to Alternative Splicing (AS), a key molecular mechanism in which multiple transcripts may be generated from a single gen...

    Authors: Arianna Consiglio, Massimo Carella, Giorgio De Caro, Gianfranco Delle Foglie, Candida Giovannelli, Giorgio Grillo, Massimo Ianigro, Flavio Licciulli, Orazio Palumbo, Ada Piepoli, Elena Ranieri and Sabino Liuni
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S21

    This article is part of a Supplement: Volume 13 Supplement 4

  27. Gene regulatory networks are widely used by biologists to describe the interactions among genes, proteins and other components at the intra-cellular level. Recently, a great effort has been devoted to give gen...

    Authors: Fabio Fioravanti, Manuela Helmer-Citterich and Enrico Nardelli
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S20

    This article is part of a Supplement: Volume 13 Supplement 4

  28. The development of accurate protein-protein docking programs is making this kind of simulations an effective tool to predict the 3D structure and the surface of interaction between the molecular partners in ma...

    Authors: Anna Vangone, Romina Oliva and Luigi Cavallo
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S19

    This article is part of a Supplement: Volume 13 Supplement 4

  29. The Poisson-Boltzmann (PB) equation and its linear approximation have been widely used to describe biomolecular electrostatics. Generalized Born (GB) models offer a convenient computational approximation for t...

    Authors: Federico Fogolari, Alessandra Corazza, Vijaylakshmi Yarra, Anusha Jalaru, Paolo Viglino and Gennaro Esposito
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S18

    This article is part of a Supplement: Volume 13 Supplement 4

  30. The identification of ligand binding sites is a key task in the annotation of proteins with known structure but uncharacterized function. Here we describe a knowledge-based method exploiting the observation th...

    Authors: Valerio Bianchi, Pier Federico Gherardini, Manuela Helmer-Citterich and Gabriele Ausiello
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S17

    This article is part of a Supplement: Volume 13 Supplement 4

  31. In living cells, proteins are in continuous motion and interaction with the surrounding medium and/or other proteins and ligands. These interactions are mediated by protein features such as electrostatic and l...

    Authors: Raluca Mihaela Andrei, Marco Callieri, Maria Francesca Zini, Tiziana Loni, Giuseppe Maraziti, Mike Chen Pan and Monica Zoppè
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S16

    This article is part of a Supplement: Volume 13 Supplement 4

  32. NumtS (N uclear M iT ochondrial S equences) are mitochondrial DNA sequences that, after stress events involving the mitochondrion, colonized the nuclear genome. Accurate mapping of NumtS avoids contamination duri...

    Authors: Francesco Maria Calabrese, Domenico Simone and Marcella Attimonelli
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S15

    This article is part of a Supplement: Volume 13 Supplement 4

  33. Predicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioi...

    Authors: Marco Falda, Stefano Toppo, Alessandro Pescarolo, Enrico Lavezzo, Barbara Di Camillo, Andrea Facchinetti, Elisa Cilia, Riccardo Velasco and Paolo Fontana
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S14

    This article is part of a Supplement: Volume 13 Supplement 4

  34. Neuroblastoma is the most common pediatric solid tumor of the sympathetic nervous system. Development of improved predictive tools for patients stratification is a crucial requirement for neuroblastoma therapy...

    Authors: Andrea Cornero, Massimo Acquaviva, Paolo Fardin, Rogier Versteeg, Alexander Schramm, Alessandra Eva, Maria Carla Bosco, Fabiola Blengio, Sara Barzaghi and Luigi Varesio
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S13

    This article is part of a Supplement: Volume 13 Supplement 4

  35. MicroRNAs (miRNAs) are small RNAs (21-24 bp) providing an RNA-based system of gene regulation highly conserved in plants and animals. In plants, miRNAs control mRNA degradation or restrain translation, affecti...

    Authors: Domenico Catalano, Domenico Pignone, Gabriella Sonnante and Mariella M Finetti-Sialer
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S12

    This article is part of a Supplement: Volume 13 Supplement 4

  36. The bottom-up programming of living organisms to implement novel user-defined biological capabilities is one of the main goals of synthetic biology. Currently, a predominant problem connected with the construc...

    Authors: Susanna Zucca, Lorenzo Pasotti, Giuliano Mazzini, Maria Gabriella Cusella De Angelis and Paolo Magni
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S11

    This article is part of a Supplement: Volume 13 Supplement 4

  37. The process of solutes entrapment during liposomes formation is interesting for the investigation of the relationship between the formation of compartments and the distribution of molecules inside them; a rele...

    Authors: Lorenzo Lazzerini-Ospri, Pasquale Stano, PierLuigi Luisi and Roberto Marangoni
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S9

    This article is part of a Supplement: Volume 13 Supplement 4

  38. Anti-tumor therapies aim at reducing to zero the number of tumor cells in a host within their end or, at least, aim at leaving the patient with a sufficiently small number of tumor cells so that the residual t...

    Authors: Giulio Caravagna, Roberto Barbuti and Alberto d'Onofrio
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S8

    This article is part of a Supplement: Volume 13 Supplement 4

  39. With the advent of high-throughput technologies, a great wealth of variation data is being produced. Such information may constitute the basis for correlation analyses between genotypes and phenotypes and, in ...

    Authors: Achille Zappa, Andrea Splendiani and Paolo Romano
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S7

    This article is part of a Supplement: Volume 13 Supplement 4

  40. The information coming from biomedical ontologies and computational pathway models is expanding continuously: research communities keep this process up and their advances are generally shared by means of dedic...

    Authors: Renato Umeton, Giuseppe Nicosia and C Forbes Dewey Jr
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S6

    This article is part of a Supplement: Volume 13 Supplement 4

  41. The ONCO-i2b2 platform is a bioinformatics tool designed to integrate clinical and research data and support translational research in oncology. It is implemented by the University of Pavia and the IRCCS Fonda...

    Authors: Daniele Segagni, Valentina Tibollo, Arianna Dagliati, Alberto Zambelli, Silvia G Priori and Riccardo Bellazzi
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S5

    This article is part of a Supplement: Volume 13 Supplement 4

  42. In the scientific biodiversity community, it is increasingly perceived the need to build a bridge between molecular and traditional biodiversity studies. We believe that the information technology could have a...

    Authors: Paolo Pannarale, Domenico Catalano, Giorgio De Caro, Giorgio Grillo, Pietro Leo, Graziano Pappadà, Francesco Rubino, Gaetano Scioscia and Flavio Licciulli
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S4

    This article is part of a Supplement: Volume 13 Supplement 4

  43. Tandem repeats are multiple duplications of substrings in the DNA that occur contiguously, or at a short distance, and may involve some mutations (such as substitutions, insertions, and deletions). Tandem repe...

    Authors: Marco Pellegrini, Maria Elena Renda and Alessio Vecchio
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S3

    This article is part of a Supplement: Volume 13 Supplement 4

  44. In recent years, an exponential growing number of tools for protein sequence analysis, editing and modeling tasks have been put at the disposal of the scientific community. Despite the vast majority of these t...

    Authors: Emanuele Bramucci, Alessandro Paiardini, Francesco Bossa and Stefano Pascarella
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S2

    This article is part of a Supplement: Volume 13 Supplement 4

  45. Transmembrane proteins (TMPs) constitute about 20~30% of all protein coding genes. The relative lack of experimental structure has so far made it hard to develop specific alignment methods and the current stat...

    Authors: Jia-Ming Chang, Paolo Di Tommaso, Jean-François Taly and Cedric Notredame
    Citation: BMC Bioinformatics 2012 13(Suppl 4):S1

    This article is part of a Supplement: Volume 13 Supplement 4

  46. The BITS2011 meeting, held in Pisa on June 20-22, 2011, brought together more than 120 Italian researchers working in the field of Bioinformatics, as well as students in Bioinformatics, Computational Biology, ...

    Authors: Paolo Romano and Manuela Helmer-Citterich
    Citation: BMC Bioinformatics 2012 13(Suppl 4):I1

    This article is part of a Supplement: Volume 13 Supplement 4

Featured videos

View featured videos from across the BMC-series journals

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 2.9
    5-year Journal Impact Factor: 3.6
    Source Normalized Impact per Paper (SNIP): 0.821
    SCImago Journal Rank (SJR): 1.005

    Speed 2023
    Submission to first editorial decision (median days): 12
    Submission to acceptance (median days): 146

    Usage 2023
    Downloads: 5,987,678
    Altmetric mentions: 4,858

Sign up for article alerts and news from this journal