A comprehensive comparison of comparative RNA structure prediction approaches.

abstract：BACKGROUND:Identification of functional elements of a genome often requires dividing a sequence of measurements along a genome into segments where adjacent segments have different properties, such as different mean values. Despite dozens of algorithms developed to address this problem in genomics research, methods with...

journal_title：BMC bioinformatics

authors： Girimurugan SB,Liu Y,Lung PY,Vera DL,Dennis JH,Bass HW,Zhang J

更新日期：2018-04-11 00:00:00

abstract：BACKGROUND:Over the course of the last few years there has been a significant amount of research performed on ontology-based formalization of phenotype descriptions. In order to fully capture the intrinsic value and knowledge expressed within them, we need to take advantage of their inner structure, which implicitly co...

journal_title：BMC bioinformatics

authors： Groza T,Hunter J,Zankl A

更新日期：2012-10-15 00:00:00

abstract：BACKGROUND:Molecular docking is a widely-employed method in structure-based drug design. An essential component of molecular docking programs is a scoring function (SF) that can be used to identify the most stable binding pose of a ligand, when bound to a receptor protein, from among a large set of candidate poses. Des...

journal_title：BMC bioinformatics

authors： Ashtawy HM,Mahapatra NR

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:While technological advances have made it possible to profile the immune system at high resolution, translating high-throughput data into knowledge of immune mechanisms has been challenged by the complexity of the interactions underlying immune processes. Tools to explore the immune network are critical for ...

journal_title：BMC bioinformatics

authors： Atallah MB,Tandon V,Hiam KJ,Boyce H,Hori M,Atallah W,Spitzer MH,Engleman E,Mallick P

更新日期：2020-08-10 00:00:00

abstract：BACKGROUND:High-throughput screens comparing growth rates of arrays of distinct micro-organism cultures on solid agar are useful, rapid methods of quantifying genetic interactions. Growth rate is an informative phenotype which can be estimated by measuring cell densities at one or more times after inoculation. Precise ...

journal_title：BMC bioinformatics

authors： Lawless C,Wilkinson DJ,Young A,Addinall SG,Lydall DA

更新日期：2010-05-28 00:00:00

abstract：BACKGROUND:Domain fusion analysis is a useful method to predict functionally linked proteins that may be involved in direct protein-protein interactions or in the same metabolic or signaling pathway. As separate domain databases like BLOCKS, PROSITE, Pfam, SMART, PRINTS-S, ProDom, TIGRFAMs, and amalgamated domain datab...

journal_title：BMC bioinformatics

authors： Truong K,Ikura M

更新日期：2003-05-06 00:00:00

abstract：BACKGROUND:Proteins are dynamic molecules with motions ranging from picoseconds to longer than seconds. Many protein functions, however, appear to occur on the micro to millisecond timescale and therefore there has been intense research of the importance of these motions in catalysis and molecular interactions. Nuclear...

journal_title：BMC bioinformatics

authors： Bieri M,Gooley PR

更新日期：2011-10-27 00:00:00

abstract：BACKGROUND:Accurate annotation of translation initiation sites (TISs) is essential for understanding the translation initiation mechanism. However, the reliability of TIS annotation in widely used databases such as RefSeq is uncertain due to the lack of experimental benchmarks. RESULTS:Based on a homogeneity assumptio...

journal_title：BMC bioinformatics

authors： Hu GQ,Zheng X,Ju LN,Zhu H,She ZS

更新日期：2008-03-25 00:00:00

abstract：BACKGROUND:The rapid development of structural genomics has resulted in many "unknown function" proteins being deposited in Protein Data Bank (PDB), thus, the functional prediction of these proteins has become a challenge for structural bioinformatics. Several sequence-based and structure-based methods have been develo...

journal_title：BMC bioinformatics

authors： Li GH,Huang JF

更新日期：2010-08-27 00:00:00

abstract：BACKGROUND:The exploration of the structural topology and the organizing principles of genome-based large-scale metabolic networks is essential for studying possible relations between structure and functionality of metabolic networks. Topological analysis of graph models has often been applied to study the structural c...

journal_title：BMC bioinformatics

authors： Zhao J,Yu H,Luo JH,Cao ZW,Li YX

更新日期：2006-08-18 00:00:00

abstract：BACKGROUND:Frequent pattern mining analysis applied on microarray dataset appears to be a promising strategy for identifying relationships between gene expression levels. Unfortunately, too many itemsets (co-expressed genes) are identified by this analysis method since it does not consider the importance of each gene w...

journal_title：BMC bioinformatics

authors： Liu YC,Cheng CP,Tseng VS

更新日期：2013-07-21 00:00:00

abstract：BACKGROUND:Modules of interacting components arranged in specific network topologies have evolved to perform a diverse array of cellular functions. For a network with a constant topological structure, its function within a cell may still be tuned by changing the number of instances of a particular component (e.g., gene...

journal_title：BMC bioinformatics

authors： Shah NA,Sarkar CA

更新日期：2019-05-14 00:00:00

abstract：BACKGROUND:Large-scale genomic studies often identify large gene lists, for example, the genes sharing the same expression patterns. The interpretation of these gene lists is generally achieved by extracting concepts overrepresented in the gene lists. This analysis often depends on manual annotation of genes based on c...

journal_title：BMC bioinformatics

authors： He X,Sarma MS,Ling X,Chee B,Zhai C,Schatz B

更新日期：2010-05-20 00:00:00

abstract：BACKGROUND:The frequent exchange of genetic material among prokaryotes means that extracting a majority or plurality phylogenetic signal from many gene families, and the identification of gene families that are in significant conflict with the plurality signal is a frequent task in comparative genomics, and especially ...

journal_title：BMC bioinformatics

authors： Mao F,Williams D,Zhaxybayeva O,Poptsova M,Lapierre P,Gogarten JP,Xu Y

更新日期：2012-06-07 00:00:00

abstract：BACKGROUND:An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types of transcription factors and their DNA binding preferences, it is a challenging problem to establish an accurate model for recognition of fun...

journal_title：BMC bioinformatics

authors： Stepanova M,Lin F,Lin VC

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:When constructing new biomarker or gene signature scores for time-to-event outcomes, the underlying aims are to develop a discrimination model that helps to predict whether patients have a poor or good prognosis and to identify the most influential variables for this task. In practice, this is often done fit...

journal_title：BMC bioinformatics

authors： Mayr A,Hofner B,Schmid M

更新日期：2016-07-22 00:00:00

abstract：BACKGROUND:The advent of array-based genome-wide DNA methylation methods has enabled quantitative measurement of single CpG methylation status at relatively low cost and sample input. Whereas the use of Infinium Human Methylation BeadChips has shown great utility in clinical studies, no equivalent tool is available for...

journal_title：BMC bioinformatics

authors： Needhamsen M,Ewing E,Lund H,Gomez-Cabrero D,Harris RA,Kular L,Jagodic M

更新日期：2017-11-15 00:00:00

abstract：BACKGROUND:Exome sequencing is a promising method for diagnosing patients with a complex phenotype. However, variant interpretation relative to patient phenotype can be challenging in some scenarios, particularly clinical assessment of rare complex phenotypes. Each patient's sequence reveals many possibly damaging vari...

journal_title：BMC bioinformatics

authors： Masino AJ,Dechene ET,Dulik MC,Wilkens A,Spinner NB,Krantz ID,Pennington JW,Robinson PN,White PS

更新日期：2014-07-21 00:00:00

abstract：BACKGROUND:DNA methylation patterns store epigenetic information in the vast majority of eukaryotic species. The relatively high costs and technical challenges associated with the detection of DNA methylation however have created a bias in the number of methylation studies towards model organisms. Consequently, it rema...

journal_title：BMC bioinformatics

authors： Bulla I,Aliaga B,Lacal V,Bulla J,Grunau C,Chaparro C

更新日期：2018-03-27 00:00:00

abstract：BACKGROUND:The advance of next generation sequencing enables higher throughput with lower price, and as the basic of high-throughput sequencing data analysis, variant calling is widely used in disease research, clinical treatment and medicine research. However, current mainstream variant caller tools have a serious pro...

journal_title：BMC bioinformatics

authors： Xiao A,Wu Z,Dong S

更新日期：2019-02-14 00:00:00

abstract：BACKGROUND:The development of next-generation sequencing has made it possible to sequence whole genomes at a relatively low cost. However, de novo genome assemblies remain challenging due to short read length, missing data, repetitive regions, polymorphisms and sequencing errors. As more and more genomes are sequenced,...

journal_title：BMC bioinformatics

authors： Lischer HEL,Shimizu KK

更新日期：2017-11-10 00:00:00

abstract：BACKGROUND:As phenotypic features derived from heritable characters, the topologies of metabolic pathways contain both phylogenetic and phenetic components. In the post-genomic era, it is possible to measure the "phylophenetic" contents of different pathways topologies from a global perspective. RESULTS:We reconstruct...

journal_title：BMC bioinformatics

authors： Zhang Y,Li S,Skogerbø G,Zhang Z,Zhu X,Zhang Z,Sun S,Lu H,Shi B,Chen R

更新日期：2006-05-09 00:00:00

abstract：BACKGROUND:In many laboratories, researchers store experimental data on their own workstation using spreadsheets. However, this approach poses a number of problems, ranging from sharing issues to inefficient data-mining. Standard spreadsheets are also error-prone, as data do not undergo any validation process. To overc...

journal_title：BMC bioinformatics

authors： Triplet T,Butler G

更新日期：2012-01-26 00:00:00

abstract：BACKGROUND:Next-generation sequencing allows the analysis of an unprecedented number of viral sequence variants from infected patients, presenting a novel opportunity for understanding virus evolution, drug resistance and immune escape. However, sequencing in bulk is error prone. Thus, the generated data require error ...

journal_title：BMC bioinformatics

authors： Skums P,Dimitrova Z,Campo DS,Vaughan G,Rossi L,Forbi JC,Yokosawa J,Zelikovsky A,Khudyakov Y

更新日期：2012-06-25 00:00:00

abstract：BACKGROUND:During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the widely used dChip as a microarray analysis software package accessible to both biologist and data analysts. However, challenges arise when dC...

journal_title：BMC bioinformatics

authors： Li C

更新日期：2008-05-08 00:00:00

abstract：BACKGROUND:Creating a scalable computational infrastructure to analyze the wealth of information contained in data repositories is difficult due to significant barriers in organizing, extracting and analyzing relevant data. Shared data science infrastructures like Boag is needed to efficiently process and parse data co...

journal_title：BMC bioinformatics

authors： Bagheri H,Muppirala U,Masonbrink RE,Severin AJ,Rajan H

更新日期：2019-08-22 00:00:00

abstract：BACKGROUND:Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of constructing models based on simple and intelligible rules. In this investigation the performance of LLM in classifying patients with cancer was evaluated using a set of eight publicly available gene expression databases f...

journal_title：BMC bioinformatics

authors： Verda D,Parodi S,Ferrari E,Muselli M

更新日期：2019-11-22 00:00:00

abstract：BACKGROUND:Leishmaniasis is a virulent parasitic infection that causes a worldwide disease burden. Most treatments have toxic side-effects and efficacy has decreased due to the emergence of resistant strains. The outlook is worsened by the absence of promising drug targets for this disease. We have taken a computationa...

journal_title：BMC bioinformatics

authors： Flórez AF,Park D,Bhak J,Kim BC,Kuchinsky A,Morris JH,Espinosa J,Muskus C

更新日期：2010-09-27 00:00:00

abstract：BACKGROUND:The sequence of nucleotides in an RNA determines the possible base pairs for an RNA fold and thus also determines the overall shape and function of an RNA. The Swellix program presented here combines a helix abstraction with a combinatorial approach to the RNA folding problem in order to compute all possible...

journal_title：BMC bioinformatics

authors： Sloat N,Liu JW,Schroeder SJ

更新日期：2017-11-21 00:00:00

abstract：BACKGROUND:Activation of naïve B lymphocytes by extracellular ligands, e.g. antigen, lipopolysaccharide (LPS) and CD40 ligand, induces a combination of common and ligand-specific phenotypic changes through complex signal transduction pathways. For example, although all three of these ligands induce proliferation, only ...

journal_title：BMC bioinformatics

authors： Lee JA,Sinkovits RS,Mock D,Rab EL,Cai J,Yang P,Saunders B,Hsueh RC,Choi S,Subramaniam S,Scheuermann RH,Alliance for Cellular Signaling.

更新日期：2006-05-02 00:00:00