Skip to main content

Articles

Page 238 of 248

  1. The acceptance of microarray technology in regulatory decision-making is being challenged by the existence of various platforms and data analysis methods. A recent report (E. Marshall, Science, 306, 630–631, 2004...

    Authors: Leming Shi, Weida Tong, Hong Fang, Uwe Scherf, Jing Han, Raj K Puri, Felix W Frueh, Federico M Goodsaid, Lei Guo, Zhenqiang Su, Tao Han, James C Fuscoe, Z aAlex Xu, Tucker A Patterson, Huixiao Hong, Qian Xie…
    Citation: BMC Bioinformatics 2005 6(Suppl 2):S12
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  2. Protein-protein, protein-DNA and protein-RNA interactions are of central importance in biological systems. Quadrapole Time-of-flight (Q-TOF) mass spectrometry is a sensitive, promising tool for studying these ...

    Authors: Yong Tang, Yingfeng Chen, Cheryl F Lichti, Roger A Hall, Kevin D Raney and Steven F Jennings
    Citation: BMC Bioinformatics 2005 6(Suppl 2):S9
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  3. Clustering the ESTs from a large dataset representing a single species is a convenient starting point for a number of investigations into gene discovery, genome evolution, expression patterns, and alternativel...

    Authors: Ronald L Frank and Fikret Ercal
    Citation: BMC Bioinformatics 2005 6(Suppl 2):S7
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  4. Proteomic profiling of complex biological mixtures by the ProteinChip technology of surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry (MS) is one of the most promising a...

    Authors: Huixiao Hong, Yvonne Dragan, Joshua Epstein, Candee Teitel, Bangzheng Chen, Qian Xie, Hong Fang, Leming Shi, Roger Perkins and Weida Tong
    Citation: BMC Bioinformatics 2005 6(Suppl 2):S5
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 6 Supplement 2

  5. Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many conditions, the proportion of differentially expres...

    Authors: J Peter Svensson, Renée X de Menezes, Ingela Turesson, Micheline Giphart-Gassler and Harry Vrieling
    Citation: BMC Bioinformatics 2005 6:177
    Content type: Methodology article Published on:

  8. Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in Gram-negative bacteria obtained good resu...

    Authors: Jiren Wang, Wing-Kin Sung, Arun Krishnan and Kuo-Bin Li
    Citation: BMC Bioinformatics 2005 6:174
    Content type: Research article Published on:

  10. The PD-(D/E)XK nuclease superfamily, initially identified in type II restriction endonucleases and later in many enzymes involved in DNA recombination and repair, is one of the most challenging targets for pro...

    Authors: Jan Kosinski, Marcin Feder and Janusz M Bujnicki
    Citation: BMC Bioinformatics 2005 6:172
    Content type: Research article Published on:

  11. Public databases now contain multitude of complete bacterial genomes, including several genomes of the same species. The available data offers new opportunities to address questions about bacterial genome evol...

    Authors: H Chiapello, I Bourgait, F Sourivong, G Heuclin, A Gendrault-Jacquemard, M-A Petit and M El Karoui
    Citation: BMC Bioinformatics 2005 6:171
    Content type: Research article Published on:

  14. We previously developed GoMiner, an application that organizes lists of 'interesting' genes (for example, under-and overexpressed genes from a microarray experiment) for biological interpretation in the contex...

    Authors: Barry R Zeeberg, Haiying Qin, Sudarshan Narasimhan, Margot Sunshine, Hong Cao, David W Kane, Mark Reimers, Robert M Stephens, David Bryant, Stanley K Burt, Eldad Elnekave, Danielle M Hari, Thomas A Wynn, Charlotte Cunningham-Rundles, Donn M Stewart, David Nelson…
    Citation: BMC Bioinformatics 2005 6:168
    Content type: Software Published on:

  15. Proteins carrying twin-arginine (Tat) signal peptides are exported into the periplasmic compartment or extracellular environment independently of the classical Sec-dependent translocation pathway. To complemen...

    Authors: Jannick Dyrløv Bendtsen, Henrik Nielsen, David Widdick, Tracy Palmer and Søren Brunak
    Citation: BMC Bioinformatics 2005 6:167
    Content type: Methodology article Published on:

  19. Signal transduction pathways convey information from the outside of the cell to transcription factors, which in turn regulate gene expression. Our objective is to analyze tumor gene expression data from microa...

    Authors: Thomas Breslin, Morten Krogh, Carsten Peterson and Carl Troein
    Citation: BMC Bioinformatics 2005 6:163
    Content type: Research article Published on:

  21. Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-points that need to be analyzed in parallel....

    Authors: Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel, Lars Hummerich, Grischa Toedt and Peter Lichter
    Citation: BMC Bioinformatics 2005 6:161
    Content type: Software Published on:

  24. All eukaryotic organisms need to distinguish each of their chromosomes. A few protein complexes have been described that recognise entire, specific chromosomes, for instance dosage compensation complexes and t...

    Authors: Per Stenberg, Fredrik Pettersson, Anja O Saura, Anders Berglund and Jan Larsson
    Citation: BMC Bioinformatics 2005 6:158
    Content type: Research article Published on:

  25. The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very efficient in general data mining tasks. We explo...

    Authors: Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni Järvinen and Tapio Salakoski
    Citation: BMC Bioinformatics 2005 6:157
    Content type: Research article Published on:

  27. Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is introduced for model identification using avai...

    Authors: Kapil G Gadkar, Rudiyanto Gunawan and Francis J Doyle III
    Citation: BMC Bioinformatics 2005 6:155
    Content type: Methodology article Published on:

  28. The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integrating experimental data sets with molecular...

    Authors: David J Reiss, Iliana Avila-Campillo, Vesteinn Thorsson, Benno Schwikowski and Timothy Galitski
    Citation: BMC Bioinformatics 2005 6:154
    Content type: Software Published on:

  29. Ambiguity is a problem in biosequence analysis that arises in various analysis tasks solved via dynamic programming, and in particular, in the modeling of families of RNA secondary structures with stochastic c...

    Authors: Janina Reeder, Peter Steffen and Robert Giegerich
    Citation: BMC Bioinformatics 2005 6:153
    Content type: Research article Published on:

  30. Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of prediction algorithms have been developed bas...

    Authors: Deepak Sarda, Gek Huey Chua, Kuo-Bin Li and Arun Krishnan
    Citation: BMC Bioinformatics 2005 6:152
    Content type: Research article Published on:

  32. Analysis of variance is a powerful approach to identify differentially expressed genes in a complex experimental design for microarray and macroarray data. The advantage of the anova model is the possibility t...

    Authors: Christelle Hennequet-Antier, Hélène Chiapello, Karine Piot, Séverine Degrelle, Isabelle Hue, Jean-Paul Renard, François Rodolphe and Stéphane Robin
    Citation: BMC Bioinformatics 2005 6:150
    Content type: Software Published on:

  33. Massive text mining of the biological literature holds great promise of relating disparate information and discovering new knowledge. However, disambiguation of gene symbols is a major bottleneck.

    Authors: Bob JA Schijvenaars, Barend Mons, Marc Weeber, Martijn J Schuemie, Erik M van Mulligen, Hester M Wain and Jan A Kors
    Citation: BMC Bioinformatics 2005 6:149
    Content type: Research article Published on:

  34. In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be used as class predictors. The leukemia datas...

    Authors: Thanyaluk Jirapech-Umpai and Stuart Aitken
    Citation: BMC Bioinformatics 2005 6:148
    Content type: Research article Published on:

  35. Sequencing of EST and BAC end datasets is no longer limited to large research groups. Drops in per-base pricing have made high throughput sequencing accessible to individual investigators. However, there are f...

    Authors: Stephen E Diener, Thomas D Houfek, Sam E Kalat, DE Windham, Mark Burke, Charles Opperman and Ralph A Dean
    Citation: BMC Bioinformatics 2005 6:147
    Content type: Software Published on:

  37. To date, 35 human diseases, some of which also exhibit anticipation, have been associated with unstable repeats. Anticipation has been reported in a number of diseases in which repeat expansion may have a role...

    Authors: Perseus I Missirlis, Carri-Lyn R Mead, Stefanie L Butland, BF Francis Ouellette, Rebecca S Devon, Blair R Leavitt and Robert A Holt
    Citation: BMC Bioinformatics 2005 6:145
    Content type: Database Published on:

  38. Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes in microarray data sets. GSEA is especially...

    Authors: Seon-Young Kim and David J Volsky
    Citation: BMC Bioinformatics 2005 6:144
    Content type: Methodology article Published on:

  40. Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput experiments and other investigation...

    Authors: Barend Mons
    Citation: BMC Bioinformatics 2005 6:142
    Content type: Commentary Published on:

  41. Chemical information is now seen as critical for most areas of life sciences. But unlike Bioinformatics, where data is openly available and freely re-usable, most chemical information is closed and cannot be r...

    Authors: Peter Murray-Rust, John BO Mitchell and Henry S Rzepa
    Citation: BMC Bioinformatics 2005 6:141
    Content type: Commentary Published on:

  47. A number of algorithms for steady state analysis of metabolic networks have been developed over the years. Of these, Elementary Mode Analysis (EMA) has proven especially useful. Despite its low user-friendline...

    Authors: Roland Schwarz, Patrick Musch, Axel von Kamp, Bernd Engels, Heiner Schirmer, Stefan Schuster and Thomas Dandekar
    Citation: BMC Bioinformatics 2005 6:135
    Content type: Software Published on:

  48. Codon substitution probabilities are used in many types of molecular evolution studies such as determining Ka/Ks ratios, creating ancestral DNA sequences or aligning coding DNA. Until the recent dramatic incre...

    Authors: Adrian Schneider, Gina M Cannarozzi and Gaston H Gonnet
    Citation: BMC Bioinformatics 2005 6:134
    Content type: Research article Published on:

Featured videos

View featured videos from across the BMC-series journals

Submit manuscript

Annual Journal Metrics

  • 2022 Citation Impact
    3.0 - 2-year Impact Factor
    4.3 - 5-year Impact Factor
    0.938 - SNIP (Source Normalized Impact per Paper)
    1.100 - SJR (SCImago Journal Rank)

    2023 Speed
    19 days submission to first editorial decision for all manuscripts (Median)
    146 days submission to accept (Median)

    2023 Usage
    5,987,678 downloads
    4,858 Altmetric mentions 

Follow

Sign up for article alerts and news from this journal

BMC Bioinformatics

ISSN: 1471-2105

Contact us