OpenMS - an open-source software framework for mass spectrometry.

abstract：BACKGROUND:PSI-BLAST, an extremely popular tool for sequence similarity search, features the utilization of Position-Specific Scoring Matrix (PSSM) constructed from a multiple sequence alignment (MSA). PSSM allows the detection of more distant homologs than a general amino acid substitution matrix does. An accurate est...

journal_title：BMC bioinformatics

authors： Oda T,Lim K,Tomii K

更新日期：2017-06-02 00:00:00

abstract：BACKGROUND:G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structures of GPCRs are largely unavailable; however, a large number of GPCR primary sequences are known. To facilitate the identification and charact...

journal_title：BMC bioinformatics

authors： Peng ZL,Yang JY,Chen X

更新日期：2010-08-09 00:00:00

abstract：BACKGROUND:Identification of the recombination hot/cold spots is critical for understanding the mechanism of recombination as well as the genome evolution process. However, experimental identification of recombination spots is both time-consuming and costly. Developing an accurate and automated method for reliably and ...

journal_title：BMC bioinformatics

authors： Li L,Yu S,Xiao W,Li Y,Huang L,Zheng X,Zhou S,Yang H

更新日期：2014-11-20 00:00:00

abstract：BACKGROUND:Nearly all cellular processes involve proteins structurally rearranging to accommodate molecular partners. The energy landscape underscores the inherent nature of proteins as dynamic molecules interconverting between structures with varying energies. In principle, reconstructing a protein's energy landscape ...

journal_title：BMC bioinformatics

authors： Morris D,Maximova T,Plaku E,Shehu A

更新日期：2019-06-06 00:00:00

abstract：BACKGROUND:The identification of protein coding regions (exons) in DNA sequences using signal processing techniques is an important component of bioinformatics and biological signal processing. In this paper, a new method is presented for the identification of exonic regions in DNA sequences. This method is based on th...

journal_title：BMC bioinformatics

authors： Abbasi O,Rostami A,Karimian G

更新日期：2011-11-03 00:00:00

abstract：BACKGROUND:We introduce Approximate Entropy as a mathematical method of analysis for microarray data. Approximate entropy is applied here as a method to classify the complex gene expression patterns resultant of a clinical sample set. Since Entropy is a measure of disorder in a system, we believe that by choosing genes...

journal_title：BMC bioinformatics

authors： Botting SK,Trzeciakowski JP,Benoit MF,Salama SA,Diaz-Arrastia CR

更新日期：2009-02-20 00:00:00

abstract：BACKGROUND:Computational discovery of microRNAs (miRNA) is based on pre-determined sets of features from miRNA precursors (pre-miRNA). Some feature sets are composed of sequence-structure patterns commonly found in pre-miRNAs, while others are a combination of more sophisticated RNA features. In this work, we analyze t...

journal_title：BMC bioinformatics

authors： Lopes Ide O,Schliep A,de Carvalho AC

更新日期：2014-05-02 00:00:00

abstract：BACKGROUND:MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normalization procedure based on a non-linear mixed-model, as well as a new approach for determining the statistical significance of altered probes ba...

journal_title：BMC bioinformatics

authors： González JR,Carrasco JL,Armengol L,Villatoro S,Jover L,Yasui Y,Estivill X

更新日期：2008-06-04 00:00:00

abstract：BACKGROUND:Integrative network methods are commonly used for interpretation of high-throughput experimental biological data: transcriptomics, proteomics, metabolomics and others. One of the common approaches is finding a connected subnetwork of a global interaction network that best encompasses significant individual c...

journal_title：BMC bioinformatics

authors： Alexeev N,Isomurodov J,Sukhov V,Korotkevich G,Sergushichev A

更新日期：2020-11-18 00:00:00

abstract：BACKGROUND:Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per group can then be used to identify interesting GO categories in relation to the experimental settings. However, the expression profiles present...

journal_title：BMC bioinformatics

authors： De Haan JR,Piek E,van Schaik RC,de Vlieg J,Bauerschmidt S,Buydens LM,Wehrens R

更新日期：2010-03-26 00:00:00

abstract：BACKGROUND:Simulated nucleotide or amino acid sequences are frequently used to assess the performance of phylogenetic reconstruction methods. BEAST, a Bayesian statistical framework that focuses on reconstructing time-calibrated molecular evolutionary processes, supports a wide array of evolutionary models, but lacked ...

journal_title：BMC bioinformatics

authors： Bielejec F,Lemey P,Carvalho LM,Baele G,Rambaut A,Suchard MA

更新日期：2014-05-07 00:00:00

abstract：BACKGROUND:The topology of a biological pathway provides clues as to how a pathway operates, but rationally using this topology information with observed gene expression data remains a challenge. RESULTS:We introduce a new general-purpose analytic method called Mechanistic Bayesian Networks (MBNs) that allows for the ...

journal_title：BMC bioinformatics

authors： Shah A,Tenzen T,McMahon AP,Woolf PJ

更新日期：2009-12-18 00:00:00

abstract：BACKGROUND:Estimation of individual ancestry from genetic data is useful for the analysis of disease association studies, understanding human population history and interpreting personal genomic variation. New, computationally efficient methods are needed for ancestry inference that can effectively utilize existing inf...

journal_title：BMC bioinformatics

authors： Bansal V,Libiger O

更新日期：2015-01-16 00:00:00

abstract：BACKGROUND:The Cancer Genome Atlas (TCGA) is a pool of molecular data sets publicly accessible and freely available to cancer researchers anywhere around the world. However, wide spread use is limited since an advanced knowledge of statistics and statistical software is required. RESULTS:In order to improve accessibil...

journal_title：BMC bioinformatics

authors： Deng M,Brägelmann J,Schultze JL,Perner S

更新日期：2016-02-06 00:00:00

abstract：BACKGROUND:Here we introduce the Protein Sequence Annotation Tool (PSAT), a web-based, sequence annotation meta-server for performing integrated, high-throughput, genome-wide sequence analyses. Our goals in building PSAT were to (1) create an extensible platform for integration of multiple sequence-based bioinformatics...

journal_title：BMC bioinformatics

authors： Leung E,Huang A,Cadag E,Montana A,Soliman JL,Zhou CL

更新日期：2016-01-20 00:00:00

abstract：BACKGROUND:The UNO/RIC Nanopore Detector provides a new way to study the binding and conformational changes of individual antibodies. Many critical questions regarding antibody function are still unresolved, questions that can be approached in a new way with the nanopore detector. RESULTS:We present evidence that diff...

journal_title：BMC bioinformatics

authors： Winters-Hilt S,Morales E,Amin I,Stoyanov A

更新日期：2007-11-01 00:00:00

abstract：BACKGROUND:Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for varying organisms and tissues have shown that the majority of expressed genes exhibit a power-law distribution with an exponent close to -1 (i...

journal_title：BMC bioinformatics

authors： Lu T,Costello CM,Croucher PJ,Häsler R,Deuschl G,Schreiber S

更新日期：2005-02-23 00:00:00

abstract：BACKGROUND:X-converting enzyme (XCE) involved in nervous control of respiration, is a member of the M13 family of zinc peptidases, for which no natural substrate has been identified yet. In contrast, it's well characterized homologue endothelin-converting enzyme-1 (ECE-1) showed broad substrate specificity and acts as ...

journal_title：BMC bioinformatics

authors： Ul-Haq Z,Iqbal S,Moin ST

更新日期：2012-11-01 00:00:00

abstract：BACKGROUND:Microbial genomes contain an abundance of genes with conserved proximity forming clusters on the chromosome. However, the conservation can be a result of many factors such as vertical inheritance, or functional selection. Thus, identification of conserved gene clusters that are under functional selection pro...

journal_title：BMC bioinformatics

authors： Zheng Y,Anton BP,Roberts RJ,Kasif S

更新日期：2005-10-03 00:00:00

abstract：BACKGROUND:Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously reported function annotation methods are of limited utility for fungal protein annotation. They are often trained only to one species, are not a...

journal_title：BMC bioinformatics

authors： Jung J,Yi G,Sukno SA,Thon MR

更新日期：2010-04-29 00:00:00

abstract：BACKGROUND:Biochemically detailed stoichiometric matrices have now been reconstructed for various bacteria, yeast, and for the human cardiac mitochondrion based on genomic and proteomic data. These networks have been manually curated based on legacy data and elementally and charge balanced. Comparative analysis of thes...

journal_title：BMC bioinformatics

authors： Becker SA,Price ND,Palsson BØ

更新日期：2006-03-06 00:00:00

abstract：BACKGROUND:Mechanotransduction in bone cells plays a pivotal role in osteoblast differentiation and bone remodelling. Mechanotransduction provides the link between modulation of the extracellular matrix by mechanical load and intracellular activity. By controlling the balance between the intracellular and extracellular...

journal_title：BMC bioinformatics

authors： Ascolani G,Skerry TM,Lacroix D,Dall'Ara E,Shuaib A

更新日期：2020-03-18 00:00:00

abstract：BACKGROUND:Classification and naming is a key step in the analysis, understanding and adequate management of living organisms. However, where to set limits between groups can be puzzling especially in clonal organisms. Within the Mycobacterium tuberculosis complex (MTC), the etiological agent of tuberculosis (TB), expe...

journal_title：BMC bioinformatics

authors： Borile C,Labarre M,Franz S,Sola C,Refrégier G

更新日期：2011-06-02 00:00:00

abstract：BACKGROUND:High-throughput sequencing technologies, such as the Illumina Genome Analyzer, are powerful new tools for investigating a wide range of biological and medical questions. Statistical and computational methods are key for drawing meaningful and accurate conclusions from the massive and complex datasets generat...

journal_title：BMC bioinformatics

authors： Bullard JH,Purdom E,Hansen KD,Dudoit S

更新日期：2010-02-18 00:00:00

abstract：BACKGROUND:Alternative splicing is a major contributor to the diversity of eukaryotic transcriptomes and proteomes. Currently, large scale detection of alternative splicing using expressed sequence tags (ESTs) or microarrays does not capture all alternative splicing events. Moreover, for many species genomic data is be...

journal_title：BMC bioinformatics

authors： Sinha R,Hiller M,Pudimat R,Gausmann U,Platzer M,Backofen R

更新日期：2008-11-12 00:00:00

abstract：BACKGROUND:An approach to molecular classification based on the comparative expression of protein pairs is presented. The method overcomes some of the present limitations in using peptide intensity data for class prediction for problems such as the detection of a disease, disease prognosis, or for predicting treatment ...

journal_title：BMC bioinformatics

authors： Kaur P,Schlatzer D,Cooke K,Chance MR

更新日期：2012-08-07 00:00:00

abstract：BACKGROUND:Aptamers are nucleic acids selected for their ability to bind to molecules of interest and may provide the basis for a whole new class of medicines. If the aptamer is simply a dsDNA molecule with a ssDNA overhang (a "sticky" end) then the segment of ssDNA that complements that overhang provides a known bindi...

journal_title：BMC bioinformatics

authors： Thomson K,Amin I,Morales E,Winters-Hilt S

更新日期：2007-11-01 00:00:00

abstract：BACKGROUND:Finding common molecular interactions from different samples is essential work to understanding diseases and other biological processes. Coexpression networks and their modules directly reflect sample-specific interactions among genes. Therefore, identification of common coexpression network or modules may r...

journal_title：BMC bioinformatics

authors： Jo Y,Kim S,Lee D

更新日期：2018-06-13 00:00:00

abstract：BACKGROUND:Affymetrix microarrays are used by many laboratories to generate gene expression profiles. Generally, only large differences (> 1.7-fold) between conditions have been reported. Computational methods to reduce inter-array variability might be of value when attempting to detect smaller differences. We examined...

journal_title：BMC bioinformatics

authors： Welle S,Brooks AI,Thornton CA

更新日期：2002-08-30 00:00:00

abstract：BACKGROUND:Microbial electrosynthesis and electro fermentation are techniques that aim to optimize microbial production of chemicals and fuels by regulating the cellular redox balance via interaction with electrodes. While the concept is known for decades major knowledge gaps remain, which make it hard to evaluate its ...

journal_title：BMC bioinformatics

authors： Kracke F,Krömer JO

更新日期：2014-12-30 00:00:00