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Bioinformatics

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Open access articles in bioinformatics. Articles from Bioinformatics and Biology Insights, Biomarker Insights, Biomarkers in Cancer, Cancer Informatics, Evolutionary Bioinformatics.



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peer reviewed open access journals 81




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Bioinformatics and Biology Insights

Editor in Chief: Erich Bornberg-Bauer   |   Table of contents   |   130498 views
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Evolutionary Pattern of N-Glycosylation Sequon Numbers  in Eukaryotic ABC Protein Superfamilies     (17/Feb/2010)


Many proteins contain a large number of NXS/T sequences (where X is any amino acid except proline) which are the potential sites of asparagine (N) linked glycosylation. However, the patterns of occurrence of these N-glycosylation sequons in related proteins or groups of proteins and their underlying causes have largely been...


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An Improved Approach for Mapping Quantitative Trait Loci in a Pseudo-Testcross: Revisiting a Poplar Mapping Study     (04/Feb/2010)


A pseudo-testcross pedigree is widely used for mapping quantitative trait loci (QTL) in outcrossing species, but the model for analyzing pseudo-testcross data borrowed from the inbred backcross design can only detect those QTLs that are heterozygous only in one parent. In this study, an intercross model that incorporates the high...


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Domain Organization of Long Autotransporter Signal Sequences     (14/Dec/2009)


Bacterial autotransporters represent a diverse family of proteins that autonomously translocate across the inner membrane of Gram-negative bacteria via the Sec complex and across the outer bacterial membrane. They often possess exceptionally long N-terminal signal sequences. We analyzed 90 long signal sequences of bacterial autotransporters and members of the two-partner...


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An Efficient Method to Identify Conditionally Activated Transcription Factors and their Corresponding Signal Transduction Pathway Segments     (17/Nov/2009)


A signal transduction pathway (STP) is a cascade composed of a series of signal transferring steps, which often activate one or more transcription factors (TFs) to control the transcription of target genes. Understanding signaling pathways is important to our understanding of the molecular mechanisms of disease. Many condition-annotated pathways have...


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Using the Multiple Analysis Approach to Reconstruct Phylogenetic Relationships among Planktonic Foraminifera from Highly Divergent and Length-polymorphic SSU rDNA Sequences     (11/Nov/2009)


The high sequence divergence within the small subunit ribosomal RNA gene (SSU rDNA) of foraminifera makes it difficult to establish the homology of individual nucleotides across taxa. Alignment-based approaches so far relied on time-consuming manual alignments and discarded up to 50% of the sequenced nucleotides prior to phylogenetic inference. Here,...


Biomarker Insights

Editor in Chief: Stephen F Kingsmore   |   Table of contents   |   241326 views
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Association of CYP1B1 Polymorphisms with Breast Cancer: A Case-Control Study in the Han Population in Ningxia Hui Autonomous Region, P. R. China     (12/Feb/2010)


Studies investigating possible associations between cytochrome P4501B1 (CYP1B1) polymorphisms and breast cancer risk have been inconsistent. We set out to ascertain whether there might be an association between polymorphisms in exon 2 (codon 119, G→T) and exon 3 (codon 432, G→C) of CYP1B1 and breast cancer in a Chinese Han...


Article: Immunohistochemistry as an Important Tool in Biomarkers Detection and Clinical Practice
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Immunohistochemistry as an Important Tool in Biomarkers Detection and Clinical Practice     (09/Feb/2010)


The immunohistochemistry technique is used in the search for cell or tissue antigens that range from amino acids and proteins to infectious agents and specific cellular populations. The technique comprises two phases: (1) slides preparation and stages involved for the reaction; (2) interpretation and quantification of the obtained expression. Immunohistochemistry is an important tool for scientific research and also a complementary technique for the elucidation of differential diagnoses which are not determinable by conventional analysis...


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Assessment of Confounding Factors Affecting the Tumor Markers SMRP, CA125, and CYFRA21-1 in Serum     (28/Jan/2010)


The purpose of this analysis was to evaluate if serum levels of potential tumor markers for the diagnosis of malignant mesothelioma and lung cancer are affected by confounding factors in a surveillance cohort of workers formerly exposed to asbestos. SMRP, CA125, and CYFRA21-1 concentrations were determined in about 1,700 serum...


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Enhanced Expression of Radiation-Induced Leukocyte CDKN1A mRNA in Multiple Primary Breast Cancer Patients: Potential New Marker of Cancer Susceptibility     (22/Dec/2009)


This study was designed to discover blood biomarkers of cancer susceptibility using invasive multiple (n = 21), single primary breast cancer (n = 21), and control subjects (n = 20). Heparinized whole blood was incubated at 37 °C for 2 hours after 0–10 Gy of radiation, then cell cycle arrest...


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Protein Modifications as Potential Biomarkers in Breast Cancer     (30/Nov/2009)


A variety of post-translational protein modifications (PTMs) are known to be altered as a result of cancer development. Thus, these PTMs are potentially useful biomarkers for breast cancer. Mass spectrometry, antibody microarrays and immunohistochemistry techniques have shown promise for identifying changes in PTMs. In this review, we summarize the current...


Biomarkers in Cancer

Editor in Chief: Dr Barbara Guinn   |   Table of contents   |   10011 views
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Identification of Gene Networks Associated with Acute Myeloid Leukemia by Comparative Molecular Methylation and Expression Profiling     (17/Mar/2010)


Around 80% of acute myeloid leukemia (AML) patients achieve a complete remission, however many will relapse and ultimately die of their disease. The association between karyotype and prognosis has been studied extensively and identified patient cohorts as having favourable [e.g. t(8; 21), inv (16)/t(16; 16), t(15; 17)], intermediate [e.g. cytogenetically...


Article: A Novel Strategy for Mechanism Based Computational Drug Discovery
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A Novel Strategy for Mechanism Based Computational Drug Discovery     (10/Mar/2010)


Glioma, the common brain tumor, which arises from the glial cells, offers worse prognosis and therapy than any other tumors. Despite the genetic and pathological diversities of malignant gliomas, common signaling pathways that drive cellular proliferation, survival, invasion and angiogenesis have been identified. Very often, various tyrosine kinase receptors are inappropriately activated in human brain tumors and contribute to tumor malignancy. During such tumourous states where multiple pathways are involved, a few of them are...


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Promoter Methylation in Prostate Cancer and its Application for the Early Detection of Prostate Cancer Using Serum and Urine Samples     (18/Feb/2010)


Prostate cancer is the second most common cancer and the second leading cause of cancer death in men. However, prostate cancer can be effectively treated and cured, if it is diagnosed in its early stages when the tumor is still confined to the prostate. Combined with the digital rectal examination,...


Article: Identification of Gene Expression Signature in Estrogen Receptor Positive Breast Carcinoma
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Identification of Gene Expression Signature in Estrogen Receptor Positive Breast Carcinoma     (11/Feb/2010)


A significant group of patient with estrogen receptor (ER) α positive breast tumors fails to appreciably respond to endocrine therapy. An increased understanding of the molecular basis of estrogen-mediated signal transduction and resultant gene expression may lead to novel strategies for treating breast cancer. In this study, we sought to identify the dysregulated genes in breast tumors related to ERα status. Microarray analyses of 31 tumor samples showed 108 genes differentially expressed in ERα (+)...


Article: Identification of Gene Expression Signature in Estrogen Receptor Positive Breast Carcinoma
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Identification of Gene Expression Signature in Estrogen Receptor Positive Breast Carcinoma     (11/Feb/2010)


A significant group of patient with estrogen receptor (ER) α positive breast tumors fails to appreciably respond to endocrine therapy. An increased understanding of the molecular basis of estrogen-mediated signal transduction and resultant gene expression may lead to novel strategies for treating breast cancer. In this study, we sought to identify the dysregulated genes in breast tumors related to ERα status. Microarray analyses of 31 tumor samples showed 108 genes differentially expressed in ERα (+)...


Biomedical Informatics Insights

Editor in Chief: John P. Pestian   |   Table of contents   |   47050 views
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A Method to Detect Differential Gene Expression in Cross-Species Hybridization Experiments at Gene  and Probe Level     (05/Mar/2010)


Motivation: Whole genome microarrays are increasingly becoming the method of choice to study responses in model organisms to disease, stressors or other stimuli. However, whole genome sequences are available for only some model organisms, and there are still many species whose genome sequences are not yet available. Cross-species studies, where...


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Enhancing Disease Surveillance Event Communication Among Jurisdictions     (22/Jan/2010)


Automated disease surveillance systems are becoming widely used by the public health community. However, communication among non-collocated and widely dispersed users still needs improvement. A web-based software tool for enhancing user communications was completely integrated into an existing automated disease surveillance system and was tested during two simulated exercises and...


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Personalizing Drug Selection Using Advanced Clinical Decision Support     (23/Jun/2009)


This article describes the process of developing an advanced pharmacogenetics clinical decision support at one of the United States’ leading pediatric academic medical centers. This system, called CHRISTINE, combines clinical and genetic data to identify the optimal drug therapy when treating patients with epilepsy or Attention Deficit Hyperactivity Disorder. In...


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Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding     (03/Apr/2009)


Laurence Alpay1, John Verhoef1,2, Bo Xie3, Dov Te’eni4 and J.H.M. Zwetsloot-Schonk11Clinical Informatics Group, Department of Medical Statistics and Bioinformatics, Leiden University Medical Centre (LUMC), Leiden, The Netherlands. 2Department of Physical Therapy, Leiden University Medical Centre (LUMC), Leiden, The Netherlands. 3College of Information Studies, University of Maryland, College Park, U.S.A. 4Faculty...


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Avoiding Pitfalls in the Statistical Analysis of Heterogeneous Tumors     (30/Mar/2009)


David E. Axelrod1, Naomi Miller2 and Judith-Anne W. Chapman31Department of Genetics and Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, 604 Allison Road, Piscataway, NJ 08854-8082 U.S.A. 2Department of Pathology, University Health Network, 200 Elizabeth St., Toronto, Ontario, Canada, M5G 2C4. 3NCIC Clinical Trials Group, Queen’s...


Cancer Informatics

Editor in Chief: James Willey   |   Table of contents   |   346777 views
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Protein-protein Interaction Reveals Synergistic Discrimination of Cancer Phenotype     (26/Mar/2010)


Cancer is a disease associated with the deregulation of multiple gene networks. Microarray data has permitted researchers to identify gene panel markers for diagnosis or prognosis of cancer but these are not sufficient to make specific mechanistic assertions about phenotype switches. We propose a strategy to identify putative mechanisms of...


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Characterization of the Effectiveness of Reporting Lists of Small Feature Sets Relative to the Accuracy of the Prior Biological Knowledge     (18/Mar/2010)


When confronted with a small sample, feature-selection algorithms often fail to find good feature sets, a problem exacerbated for high-dimensional data and large feature sets. The problem is compounded by the fact that, if one obtains a feature set with a low error estimate, the estimate is unreliable because training-data-based...


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Characterization of the Effectiveness of Reporting Lists of Small Feature Sets Relative to the Accuracy of the Prior Biological Knowledge     (18/Mar/2010)


When confronted with a small sample, feature-selection algorithms often fail to find good feature sets, a problem exacerbated for high-dimensional data and large feature sets. The problem is compounded by the fact that, if one obtains a feature set with a low error estimate, the estimate is unreliable because training-data-based...


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Comparison of Two Output-Coding Strategies for Multi-Class Tumor Classification Using Gene Expression Data and Latent Variable Model as Binary Classifier     (10/Mar/2010)


Multi-class cancer classification based on microarray data is described. A generalized output-coding scheme based on One Versus One (OVO) combined with Latent Variable Model (LVM) is used. Results from the proposed One Versus One (OVO) output- coding strategy is compared with the results obtained from the generalized One Versus All...


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Expression a La Bimode     (03/Mar/2010)


The recently published article by Wang, and commented on by Ertel in this journal, describes development of a method, named the Bimodality Index, to objectively identify and rank meaningful and reliable bimodal patterns from large-scale gene expression datasets. This is an important step because genes with a bimodal distribution may...


Evolutionary Bioinformatics

Editor in Chief: Dennis Wall   |   Table of contents   |   328467 views
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Comparative Molecular Evolution of Trichoderma Chitinases in Response to Mycoparasitic Interactions     (15/Mar/2010)


Certain species of the fungal genus Trichoderma are potent mycoparasites and are used for biological control of fungal diseases on agricultural crops. In Trichoderma, whole-genome sequencing reveal between 20 and 36 different genes encoding chitinases, hydrolytic enzymes that are involved in the mycoparasitic attack. Sequences of Trichoderma chitinase genes chi18-5,...


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Clustering Protein Sequences Using Affinity Propagation Based on an Improved Similarity Measure     (22/Jan/2010)


The sizes of the protein databases are growing rapidly nowadays, thus it becomes increasingly important to cluster protein sequences only based on sequence information. In this paper we improve the similarity measure proposed by Kelil et al, then cluster sequences using the Affinity propagation (AP) algorithm and provide a method...


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Snapshots of Tree Space     (18/Jan/2010)


Achievement of the best balance between the accuracy and efficiency is always an important issue when searching a tree space of large data sets. In the 5th issue in 2009, Rodrigo et al used bootstrapped topologies as fixed genealogies to distribute an MCMC analysis across a cluster of computers, resulting...


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Genome-Wide Identification and Evolutionary Analysis of the Animal Specific ETS Transcription Factor Family     (02/Oct/2009)


The ETS proteins are a family of transcription factors (TFs) that regulate a variety of biological processes. We made genome-wide analyses to explore the classification of the ETS gene family. We identified 207 ETS genes which encode 321 ETS TFs from ten animal species. Of the 321 ETS TFs, 155...


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Genome-Wide Identification and Evolutionary Analysis of the Animal Specific ETS Transcription Factor Family     (02/Oct/2009)


The ETS proteins are a family of transcription factors (TFs) that regulate a variety of biological processes. We made genome-wide analyses to explore the classification of the ETS gene family. We identified 207 ETS genes which encode 321 ETS TFs from ten animal species. Of the 321 ETS TFs, 155...


Magnetic Resonance Insights

Editor in Chief: Sendhil Velan   |   Table of contents   |   40237 views
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Diffusion-Exchange Weighted Imaging     (09/Nov/2009)


A method has been developed whereby diffusion and exchange in micro cellular structures in the human brain are correlated to produce a new type of image contrast leading to determination of water exchange rates in vivo. The diffusion method relies on differential apparent diffusion coefficients as detectable nuclei exchange between...


Article: T2-Weighted MRI Signal Alterations in the Early-Clinical Phase of Transmissible Spongiform Encephalopathy in a Scrapie Rodent Model
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T2-Weighted MRI Signal Alterations in the Early-Clinical Phase of Transmissible Spongiform Encephalopathy in a Scrapie Rodent Model     (24/Aug/2009)


Background and Purpose: Transmissible spongiform encephalopathy (TSE) diseases are fatal, progressive neurodegenerative disorders affecting both humans and animals. Clinical signs typically appear after years and even decades of silent disease progression. This study was aimed at investigating whether altered brain MRI patterns may precede clinical signs in a TSE rodent model. Methods: In vivo T2-weighted (T2W) MRI examinations (4.7 T) were performed on Golden Syrian hamsters (GSH) intracerebrally, orally, or intraperitoneally (i.p.) infected with the 263K...


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Role of Magnetic Resonance in Understanding the Pathogenesis of Hepatic Encephalopathy     (23/Jan/2009)


A. Huda1,2, R.K. Gupta3, N. Rajakumar2 and M.A. Thomas21Department of Physics, California State University, Fresno, CA 93740. 2Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA 90095. 3Department of Radiology, Sanjay Gandhi Post-Graduate Institute of Medical Sciences, Lucknow, India.AbstractA spectrum of neuropsychiatric abnormalities caused...


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Preclinical MRI and NMR Biomarkers of Alzheimer’s Disease: Concepts and Applications     (03/Nov/2008)


Marc Dhenain1,2,3 1CEA, DSV, I2BM, SHFJ, MIRCen Program, 4 Place du Général Leclerc, 91401 OrsayCedex, France. 2CNRS, URA 2210, 4 Place du Général Leclerc, 91401 Orsay Cedex, France. 3CEA, DSV, I2BM, NEUROSPIN, Centre CEA de Saclay, Bât. 145, 91191 Gif sur Yvette, France. Abstract Alzheimer’s disease is...


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Magnetic Resonance Imaging (MRI) and Spectroscopy (MRS) in Breast Cancer     (30/Oct/2008)


Uma Sharma, Rani Gupta Sah and Naranamangalam R. Jagannathan Department of NMR and MRI Facility, All India Institute of Medical Sciences, New Delhi—110029, India. Abstract Breast cancer is a major health problem in women and early detection is of prime importance. Breast magnetic resonance imaging (MRI) provides...