Using mechanistic Bayesian networks to identify downstream targets of the sonic hedgehog pathway.

abstract：BACKGROUND:Pattern recognition receptors of the immune system have key roles in the regulation of pathways after the recognition of microbial- and danger-associated molecular patterns in vertebrates. Members of NOD-like receptor (NLR) family typically function intracellularly. The NOD-like receptor family CARD domain c...

journal_title：BMC bioinformatics

authors： Mótyán JA,Bagossi P,Benkő S,Tőzsér J

更新日期：2013-09-17 00:00:00

abstract：BACKGROUND:In the last decade, there have been many applications of formal language theory in bioinformatics such as RNA structure prediction and detection of patterns in DNA. However, in the field of proteomics, the size of the protein alphabet and the complexity of relationship between amino acids have mainly limited...

journal_title：BMC bioinformatics

authors： Dyrka W,Nebel JC

更新日期：2009-10-08 00:00:00

abstract：BACKGROUND:Reliable prediction of antibody, or B-cell, epitopes remains challenging yet highly desirable for the design of vaccines and immunodiagnostics. A correlation between antigenicity, solvent accessibility, and flexibility in proteins was demonstrated. Subsequently, Thornton and colleagues proposed a method for ...

journal_title：BMC bioinformatics

authors： Ponomarenko J,Bui HH,Li W,Fusseder N,Bourne PE,Sette A,Peters B

更新日期：2008-12-02 00:00:00

abstract：BACKGROUND:Modern plant taxonomy reflects phylogenetic relationships among taxa based on proposed morphological and genetic similarities. However, taxonomical relation is not necessarily reflected by close overall resemblance, but rather by commonality of very specific morphological characters or similarity on the mole...

journal_title：BMC bioinformatics

authors： Seeland M,Rzanny M,Boho D,Wäldchen J,Mäder P

更新日期：2019-01-03 00:00:00

abstract：BACKGROUND:The Protein Ontology (PRO) is designed as a formal and principled Open Biomedical Ontologies (OBO) Foundry ontology for proteins. The components of PRO extend from a classification of proteins on the basis of evolutionary relationships at the homeomorphic level to the representation of the multiple protein f...

journal_title：BMC bioinformatics

authors： Arighi CN,Liu H,Natale DA,Barker WC,Drabkin H,Blake JA,Smith B,Wu CH

更新日期：2009-05-06 00:00:00

abstract：BACKGROUND:Great strides have been made in the effective treatment of HIV-1 with the development of second-generation protease inhibitors (PIs) that are effective against historically multi-PI-resistant HIV-1 variants. Nevertheless, mutation patterns that confer decreasing susceptibility to available PIs continue to ar...

journal_title：BMC bioinformatics

authors： Doherty KM,Nakka P,King BM,Rhee SY,Holmes SP,Shafer RW,Radhakrishnan ML

更新日期：2011-12-15 00:00:00

abstract：BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most abundant genetic variant found in vertebrates and invertebrates. SNP discovery has become a highly automated, robust and relatively inexpensive process allowing the identification of many thousands of mutations for model and non-model organisms. Annotating ...

journal_title：BMC bioinformatics

authors： Doran AG,Creevey CJ

更新日期：2013-02-08 00:00:00

abstract：BACKGROUND:Structural variants (SVs) in human genomes are implicated in a variety of human diseases. Long-read sequencing delivers much longer read lengths than short-read sequencing and may greatly improve SV detection. However, due to the relatively high cost of long-read sequencing, it is unclear what coverage is ne...

journal_title：BMC bioinformatics

authors： Fang L,Hu J,Wang D,Wang K

更新日期：2018-05-23 00:00:00

abstract：BACKGROUND:The inference of homology between proteins is a key problem in molecular biology The current best approaches only identify approximately 50% of homologies (with a false positive rate set at 1/1000). RESULTS:We present Homology Induction (HI), a new approach to inferring homology. HI uses machine learning to...

journal_title：BMC bioinformatics

authors： Karwath A,King RD

更新日期：2002-04-23 00:00:00

abstract：BACKGROUND:Antibiotics are the widely prescribed drugs for children and most likely to be related with adverse reactions. Record on adverse reactions and allergies from antibiotics considerably affect the prescription choices. We consider this a biomedical decision-making problem and explore hidden knowledge in survey ...

journal_title：BMC bioinformatics

authors： Yildirim P,Majnarić L,Ekmekci O,Holzinger A

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Primer design for highly variable DNA sequences is difficult, and experimental success requires attention to many interacting constraints. The advent of next-generation sequencing methods allows the investigation of rare variants otherwise hidden deep in large populations, but requires attention to populatio...

journal_title：BMC bioinformatics

authors： Brodin J,Krishnamoorthy M,Athreya G,Fischer W,Hraber P,Gleasner C,Green L,Korber B,Leitner T

更新日期：2013-08-21 00:00:00

abstract：BACKGROUND:Somatic copy number alternation (SCNA) is a common feature of the cancer genome and is associated with cancer etiology and prognosis. The allele-specific SCNA analysis of a tumor sample aims to identify the allele-specific copy numbers of both alleles, adjusting for the ploidy and the tumor purity. Next gene...

journal_title：BMC bioinformatics

authors： Choo-Wosoba H,Albert PS,Zhu B

更新日期：2018-11-14 00:00:00

abstract：BACKGROUND:Alternative splicing isoforms have been reported as a new and robust class of diagnostic biomarkers. Over 95% of human genes are estimated to be alternatively spliced as a powerful means of producing functionally diverse proteins from a single gene. The emergence of next-generation sequencing technologies, e...

journal_title：BMC bioinformatics

authors： Zhang F,Deng CK,Wang M,Deng B,Barber R,Huang G

更新日期：2020-12-03 00:00:00

abstract：BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most frequent type of sequence variation between individuals, and represent a promising tool for finding genetic determinants of complex diseases and understanding the differences in drug response. In this regard, it is of particular interest to study the effect...

journal_title：BMC bioinformatics

authors： Bauer-Mehren A,Furlong LI,Rautschka M,Sanz F

更新日期：2009-08-27 00:00:00

abstract：BACKGROUND:Drug resistance testing is mandatory in antiretroviral therapy in human immunodeficiency virus (HIV) infected patients for successful treatment. The emergence of resistances against antiretroviral agents remains the major obstacle in inhibition of viral replication and thus to control infection. Due to the h...

journal_title：BMC bioinformatics

authors： Riemenschneider M,Hummel T,Heider D

更新日期：2016-08-22 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:Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a single platform and are not flexible enough to support custom changes, which arise from the new statistical methods, updated versions of refere...

journal_title：BMC bioinformatics

authors： Kim J,Patel K,Jung H,Kuo WP,Ohno-Machado L

更新日期：2011-03-17 00:00:00

abstract：BACKGROUND:MHC/HLA class II molecules are important components of the immune system and play a critical role in processes such as phagocytosis. Understanding peptide recognition properties of the hundreds of MHC class II alleles is essential to appreciate determinants of antigenicity and ultimately to predict epitopes....

journal_title：BMC bioinformatics

authors： Yeturu K,Utriainen T,Kemp GJ,Chandra N

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:Metabolic networks reflect the relationships between metabolites (biomolecules) and the enzymes (proteins), and are of particular interest since they describe all chemical reactions of an organism. The metabolic networks are constructed from the genome sequence of an organism, and the graphs can be used to s...

journal_title：BMC bioinformatics

authors： Weber Zendrera A,Sokolovska N,Soula HA

更新日期：2019-10-15 00:00:00

abstract：BACKGROUND:Quantitative polymerase chain reaction (qPCR) is the technique of choice for quantifying gene expression. While the technique itself is well established, approaches for the analysis of qPCR data continue to improve. RESULTS:Here we expand on the common base method to develop procedures for testing linear re...

journal_title：BMC bioinformatics

authors： Ganger MT,Dietz GD,Headley P,Ewing SJ

更新日期：2020-09-29 00:00:00

abstract：BACKGROUND:Determining differentially expressed genes (DEGs) between biological samples is the key to understand how genotype gives rise to phenotype. RNA-seq and microarray are two main technologies for profiling gene expression levels. However, considerable discrepancy has been found between DEGs detected using the t...

journal_title：BMC bioinformatics

authors： Lyu Y,Li Q

更新日期：2016-01-11 00:00:00

abstract：BACKGROUND:Quadruplexes are specific structure motifs occurring, e.g., in telomeres and transcriptional regulatory regions. Recent discoveries confirmed their importance in biomedicine and led to an intensified examination of their properties. So far, the study of these motifs has focused mainly on the sequence and the...

journal_title：BMC bioinformatics

authors： Zok T,Popenda M,Szachniuk M

更新日期：2020-01-31 00:00:00

abstract：BACKGROUND:Proteins having similar functions from different sources can be identified by the occurrence in their sequences, a conserved cluster of amino acids referred to as pattern, motif, signature or fingerprint. The wide usage of protein sequence analysis in par with the growth of databases signifies the importance...

journal_title：BMC bioinformatics

authors： Giri AV,Anishetty S,Gautam P

更新日期：2004-09-09 00:00:00

abstract：BACKGROUND:Interest in de novo genome assembly has been renewed in the past decade due to rapid advances in high-throughput sequencing (HTS) technologies which generate relatively short reads resulting in highly fragmented assemblies consisting of contigs. Additional long-range linkage information is typically used to ...

journal_title：BMC bioinformatics

authors： Lindsay J,Salooti H,Măndoiu I,Zelikovsky A

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:We carried out an analysis of intron length conservation across a diverse group of nineteen mammalian species. Motivated by recent research suggesting a role for time delays associated with intron transcription in gene expression oscillations required for early embryonic patterning, we searched for examples ...

journal_title：BMC bioinformatics

authors： Seoighe C,Korir PK

更新日期：2011-10-05 00:00:00

abstract：BACKGROUND:A survey of presences and absences of specific species across multiple biogeographic units (or bioregions) are used in a broad area of biological studies from ecology to microbiology. Using binary presence-absence data, we evaluate species co-occurrences that help elucidate relationships among organisms and ...

journal_title：BMC bioinformatics

authors： Chung NC,Miasojedow B,Startek M,Gambin A

更新日期：2019-12-24 00:00:00

abstract：BACKGROUND:Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, production and manipulations are limiting factors, affecting data quality. The use of customized DNA microarrays improves overall data quality in many...

journal_title：BMC bioinformatics

authors： Vainshtein Y,Sanchez M,Brazma A,Hentze MW,Dandekar T,Muckenthaler MU

更新日期：2010-03-01 00:00:00

abstract：BACKGROUND:Guanine protein-coupled receptors (GPCRs) constitute a eukaryotic transmembrane protein family and function as "molecular switches" in the second messenger cascades and are found in all organisms between yeast and humans. They form the single, biggest drug-target family due to their versatility of action and...

journal_title：BMC bioinformatics

authors： Sarkar A,Kumar S,Sundar D

更新日期：2011-02-15 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:Reproducibility of results can have a significant impact on the acceptance of new technologies in gene expression analysis. With the recent introduction of the so-called next-generation sequencing (NGS) technology and established microarrays, one is able to choose between two completely different platforms f...

journal_title：BMC bioinformatics

authors： Stiglic G,Bajgot M,Kokol P

更新日期：2010-04-08 00:00:00