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  1. We investigate automated and generic alphabet reduction techniques for protein structure prediction datasets. Reducing alphabet cardinality without losing key biochemical information opens the door to potentia...

    Authors: Jaume Bacardit, Michael Stout, Jonathan D Hirst, Alfonso Valencia, Robert E Smith and Natalio Krasnogor
    Citation: BMC Bioinformatics 2009 10:6
  2. In high throughput screening, such as differential gene expression screening, drug sensitivity screening, and genome-wide RNAi screening, tens of thousands of tests need to be conducted simultaneously. However...

    Authors: Jing Cao, Xian-Jin Xie, Song Zhang, Angelique Whitehurst and Michael A White
    Citation: BMC Bioinformatics 2009 10:5
  3. Affymetrix Genechips are characterized by probe pairs, a perfect match (PM) and a mismatch (MM) probe differing by a single nucleotide. Most of the data preprocessing algorithms neglect MM signals, as it was s...

    Authors: Alessandro Ferrantini, Joke Allemeersch, Paul Van Hummelen and Enrico Carlon
    Citation: BMC Bioinformatics 2009 10:3
  4. In cancer studies, it is common that multiple microarray experiments are conducted to measure the same clinical outcome and expressions of the same set of genes. An important goal of such experiments is to ide...

    Authors: Shuangge Ma and Jian Huang
    Citation: BMC Bioinformatics 2009 10:1
  5. Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns am...

    Authors: Peter Langfelder and Steve Horvath
    Citation: BMC Bioinformatics 2008 9:559
  6. Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of the resulting data tests the limits of exis...

    Authors: Jon Hill, Matthew Hambley, Thorsten Forster, Muriel Mewissen, Terence M Sloan, Florian Scharinger, Arthur Trew and Peter Ghazal
    Citation: BMC Bioinformatics 2008 9:558
  7. Protein structural alignment provides a fundamental basis for deriving principles of functional and evolutionary relationships. It is routinely used for structural classification and functional characterizatio...

    Authors: Walter Pirovano, K Anton Feenstra and Jaap Heringa
    Citation: BMC Bioinformatics 2008 9:556
  8. Reverse Phase Protein Arrays (RPPA) are convenient assay platforms to investigate the presence of biomarkers in tissue lysates. As with other high-throughput technologies, substantial amounts of analytical dat...

    Authors: Romesh Stanislaus, Mark Carey, Helena F Deus, Kevin Coombes, Bryan T Hennessy, Gordon B Mills and Jonas S Almeida
    Citation: BMC Bioinformatics 2008 9:555
  9. Multiple sequence alignments are a fundamental tool for the comparative analysis of proteins and nucleic acids. However, large data sets are no longer manageable for visualization and investigation using the t...

    Authors: Alberto I Roca, Albert E Almada and Aaron C Abajian
    Citation: BMC Bioinformatics 2008 9:554
  10. High-throughput methods that allow for measuring the expression of thousands of genes or proteins simultaneously have opened new avenues for studying biochemical processes. While the noisiness of the data nece...

    Authors: Andreas Keller, Christina Backes, Maher Al-Awadhi, Andreas Gerasch, Jan Küntzer, Oliver Kohlbacher, Michael Kaufmann and Hans-Peter Lenhof
    Citation: BMC Bioinformatics 2008 9:552
  11. Phylogenetic methods are well-established bioinformatic tools for sequence analysis, allowing to describe the non-independencies of sequences because of their common ancestor. However, the evolutionary profile...

    Authors: Matteo Brilli, Alessio Mengoni, Marco Fondi, Marco Bazzicalupo, Pietro Liò and Renato Fani
    Citation: BMC Bioinformatics 2008 9:551
  12. Continuous-time Markov models allow flexible, parametrically succinct descriptions of sequence divergence. Non-reversible forms of these models are more biologically realistic but are challenging to develop. T...

    Authors: Harold W Schranz, Von Bing Yap, Simon Easteal, Rob Knight and Gavin A Huttley
    Citation: BMC Bioinformatics 2008 9:550
  13. While the C. elegans genome is extensively annotated, relatively little information is available for other Caenorhabditis species. The nematode genome annotation assessment project (nGASP) was launched to objecti...

    Authors: Avril Coghlan, Tristan J Fiedler, Sheldon J McKay, Paul Flicek, Todd W Harris, Darin Blasiar and Lincoln D Stein
    Citation: BMC Bioinformatics 2008 9:549
  14. The amount of gene expression data in the public repositories, such as NCBI Gene Expression Omnibus (GEO) has grown exponentially, and provides a gold mine for bioinformaticians, but has not been easily access...

    Authors: Rong Chen, Rohan Mallelwar, Ajit Thosar, Shivkumar Venkatasubrahmanyam and Atul J Butte
    Citation: BMC Bioinformatics 2008 9:548
  15. Each genome has a stable distribution of the combined frequency for each k-mer and its reverse complement measured in sequence fragments as short as 1000 bps across the whole genome, for 1<k<6. The collection of ...

    Authors: Fengfeng Zhou, Victor Olman and Ying Xu
    Citation: BMC Bioinformatics 2008 9:546
  16. Experimental examinations of biofluids to measure concentrations of proteins or their fragments or metabolites are being explored as a means of early disease detection, distinguishing diseases with similar sym...

    Authors: Brian T Luke and Jack R Collins
    Citation: BMC Bioinformatics 2008 9:545
  17. Enzymes are responsible for the catalysis of the biochemical reactions in metabolic pathways. Analogous enzymes are able to catalyze the same reactions, but they present no significant sequence similarity at t...

    Authors: Thomas D Otto, Ana Carolina R Guimarães, Wim M Degrave and Antonio B de Miranda
    Citation: BMC Bioinformatics 2008 9:544
  18. Quantitative proteomics holds great promise for identifying proteins that are differentially abundant between populations representing different physiological or disease states. A range of computational tools ...

    Authors: Mi-Youn Brusniak, Bernd Bodenmiller, David Campbell, Kelly Cooke, James Eddes, Andrew Garbutt, Hollis Lau, Simon Letarte, Lukas N Mueller, Vagisha Sharma, Olga Vitek, Ning Zhang, Ruedi Aebersold and Julian D Watts
    Citation: BMC Bioinformatics 2008 9:542
  19. There has been a lot of interest in recent years focusing on the modeling and simulation of Gene Regulatory Networks (GRNs). However, the evolutionary mechanisms that give rise to GRNs in the first place are s...

    Authors: Anton Kratz, Masaru Tomita and Arun Krishnan
    Citation: BMC Bioinformatics 2008 9:541
  20. We have developed a new computational algorithm, Shape-IT, to infer haplotypes under the genetic model of coalescence with recombination developed by Stephens et al in Phase v2.1. It runs much faster than Phas...

    Authors: Olivier Delaneau, Cédric Coulonges and Jean-François Zagury
    Citation: BMC Bioinformatics 2008 9:540
  21. During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have appeared in the scientific literature. Mo...

    Authors: Jukka Corander, Pekka Marttinen, Jukka Sirén and Jing Tang
    Citation: BMC Bioinformatics 2008 9:539
  22. The prediction of conformational B-cell epitopes is one of the most important goals in immunoinformatics. The solution to this problem, even if approximate, would help in designing experiments to precisely map...

    Authors: Yan Xin Huang, Yong Li Bao, Shu Yan Guo, Yan Wang, Chun Guang Zhou and Yu Xin Li
    Citation: BMC Bioinformatics 2008 9:538
  23. Alternative splicing is an important gene regulation mechanism. It is estimated that about 74% of multi-exon human genes have alternative splicing. High throughput tandem (MS/MS) mass spectrometry provides val...

    Authors: Fan Mo, Xu Hong, Feng Gao, Lin Du, Jun Wang, Gilbert S Omenn and Biaoyang Lin
    Citation: BMC Bioinformatics 2008 9:537
  24. A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted with the seemingly arbitrary choice between...

    Authors: Evert-Jan Blom, Sacha AFT van Hijum, Klaas J Hofstede, Remko Silvis, Jos BTM Roerdink and Oscar P Kuipers
    Citation: BMC Bioinformatics 2008 9:535
  25. Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data flow involves heuristics with large seed i...

    Authors: Pierre Peterlongo, Laurent Noé, Dominique Lavenier, Van Hoa Nguyen, Gregory Kucherov and Mathieu Giraud
    Citation: BMC Bioinformatics 2008 9:534
  26. The customary medicinal plant knowledge possessed by the Australian Aboriginal people is a significant resource. Published information on it is scattered throughout the literature, in heterogeneous data format...

    Authors: Jitendra Gaikwad, Varun Khanna, Subramanyam Vemulpad, Joanne Jamie, Jim Kohen and Shoba Ranganathan
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S25

    This article is part of a Supplement: Volume 9 Supplement 12

  27. On-line biodiversity information databases are growing quickly and being integrated into general bioinformatics systems due to the advances of fast gene sequencing technologies and the Internet. These can redu...

    Authors: Jeongheui Lim, Jong Bhak, Hee-Mock Oh, Chang-Bae Kim, Yong-Ha Park and Woon Kee Paek
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S24

    This article is part of a Supplement: Volume 9 Supplement 12

  28. Schizophrenia is a complex disease with multiple factors contributing to its pathogenesis. In addition to environmental factors, genetic factors may also increase susceptibility. In other words, schizophrenia ...

    Authors: Pei-Chun Hsu, Ueng-Cheng Yang, Kuan-Hui Shih, Chih-Min Liu, Yu-Li Liu and Hai-Gwo Hwu
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S23

    This article is part of a Supplement: Volume 9 Supplement 12

  29. Initiation and regulation of immune responses in humans involves recognition of peptides presented by human leukocyte antigen class II (HLA-II) molecules. These peptides (HLA-II T-cell epitopes) are increasing...

    Authors: Hong Huang Lin, Guang Lan Zhang, Songsak Tongchusak, Ellis L Reinherz and Vladimir Brusic
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S22

    This article is part of a Supplement: Volume 9 Supplement 12

  30. Bioinformatics tools are commonly used for assessing potential protein allergenicity. While these methods have achieved good accuracies for highly conserved sequences, they are less effective when the overall ...

    Authors: Shen Jean Lim, Joo Chuan Tong, Fook Tim Chew and Martti T Tammi
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S21

    This article is part of a Supplement: Volume 9 Supplement 12

  31. In the adaptive immune system, variable regions of immunoglobulin (IG) are encoded by random recombination of variable (V), diversity (D), and joining (J) gene segments in the germline. Partitioning the functi...

    Authors: Xiaojing Wang, Di Wu, Siyuan Zheng, Jing Sun, Lin Tao, Yixue Li and Zhiwei Cao
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S20

    This article is part of a Supplement: Volume 9 Supplement 12

  32. Studies on the relationship between disease and genetic variations such as single nucleotide polymorphisms (SNPs) are important. Genetic variations can cause disease by influencing important biological regulat...

    Authors: Jin Ok Yang, Sohyun Hwang, Jeongsu Oh, Jong Bhak and Tae-Kwon Sohn
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S19

    This article is part of a Supplement: Volume 9 Supplement 12

  33. Semantic role labeling (SRL) is an important text analysis technique. In SRL, sentences are represented by one or more predicate-argument structures (PAS). Each PAS is composed of a predicate (verb) and severa...

    Authors: Richard Tzong-Han Tsai, Hong-Jie Dai, Chi-Hsin Huang and Wen-Lian Hsu
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S18

    This article is part of a Supplement: Volume 9 Supplement 12

  34. The import of most intraperoxisomal proteins is mediated by peroxisome targeting signals at their C-termini (PTS1) or N-terminal regions (PTS2). Both signals have been integrated in subcellular location predic...

    Authors: Yumi Mizuno, Igor V Kurochkin, Marlis Herberth, Yasushi Okazaki and Christian Schönbach
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S16

    This article is part of a Supplement: Volume 9 Supplement 12

  35. Entry of HIV-1 into human lymphoid requires activities of viral envelope glycoproteins gp120 and gp41, and two host-cell proteins, the primary receptor CD4 and a chemokine co-receptor. In addition, a third cel...

    Authors: Uthaman Gowthaman, Mannu Jayakanthan and Durai Sundar
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S14

    This article is part of a Supplement: Volume 9 Supplement 12

  36. In the study of adaptive evolution, it is important to detect the protein coding sites where natural selection is acting. In general, the ratio of the rate of non-synonymous substitutions (Ka) to the rate of s...

    Authors: Yong Seok Lee, Tae-Hyung Kim, Tae-Wook Kang, Won-Hyong Chung and Gwang-Sik Shin
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S13

    This article is part of a Supplement: Volume 9 Supplement 12

  37. Prediction of protein solvent accessibility, also called accessible surface area (ASA) prediction, is an important step for tertiary structure prediction directly from one-dimensional sequences. Traditionally,...

    Authors: Darby Tien-Hao Chang, Hsuan-Yu Huang, Yu-Tang Syu and Chih-Peng Wu
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S12

    This article is part of a Supplement: Volume 9 Supplement 12

  38. With the flood of information generated by the new generation of sequencing technologies, more efficient bioinformatics tools are needed for in-depth impact analysis of novel genomic variations. FANS (Function...

    Authors: Chuan-Kun Liu, Yan-Hau Chen, Cheng-Yang Tang, Shu-Chuan Chang, Yi-Jung Lin, Ming-Fang Tsai, Yuan-Tsong Chen and Adam Yao
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S10

    This article is part of a Supplement: Volume 9 Supplement 12

  39. MicroRNAs are small non-coding RNA gene products that play diversified roles from species to species. The explosive growth of microRNA researches in recent years proves the importance of microRNAs in the biolo...

    Authors: Wing-Sze Leung, Marie CM Lin, David W Cheung and SM Yiu
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S3

    This article is part of a Supplement: Volume 9 Supplement 12

  40. MicroRNAs (miRNAs) are short non-coding RNA molecules participating in post-transcriptional regulation of gene expression. There have been many efforts to discover miRNA precursors (pre-miRNAs) over the years....

    Authors: Darby Tien-Hao Chang, Chih-Ching Wang and Jian-Wei Chen
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S2

    This article is part of a Supplement: Volume 9 Supplement 12

  41. The 2008 annual conference of the Asia Pacific Bioinformatics Network (APBioNet), Asia's oldest bioinformatics organisation set up in 1998, was organized as the 7th International Conference on Bioinformatics (InC...

    Authors: Shoba Ranganathan, Wen-Lian Hsu, Ueng-Cheng Yang and Tin Wee Tan
    Citation: BMC Bioinformatics 2008 9(Suppl 12):S1

    This article is part of a Supplement: Volume 9 Supplement 12

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