Current approaches to gene regulatory network modelling.

abstract：BACKGROUND:Circular RNAs (circRNAs) are a newly appreciated class of non-coding RNA molecules. Numerous tools have been developed for the detection of circRNAs, however computational tools to perform downstream functional analysis of circRNAs are scarce. RESULTS:We present circRNAprofiler, an R-based computational fra...

journal_title：BMC bioinformatics

authors： Aufiero S,Reckman YJ,Tijsen AJ,Pinto YM,Creemers EE

更新日期：2020-04-29 00:00:00

abstract：BACKGROUND:Analysis of sequence composition is a routine task in genome research. Organisms are characterized by their base composition, dinucleotide relative abundance, codon usage, and so on. Unique subsequences are markers of special interest in genome comparison, expression profiling, and genetic engineering. Relat...

journal_title：BMC bioinformatics

authors： Herold J,Kurtz S,Giegerich R

更新日期：2008-03-26 00:00:00

abstract：BACKGROUND:InterPro is a collection of protein signatures for the classification and automated annotation of proteins. Interproscan is a software tool that scans protein sequences against Interpro member databases using a variety of profile-based, hidden markov model and positional specific score matrix methods. It not...

journal_title：BMC bioinformatics

authors： Kelly RJ,Vincent DE,Friedberg I

更新日期：2010-12-21 00:00:00

abstract：BACKGROUND:Formal classification of a large collection of protein structures aids the understanding of evolutionary relationships among them. Classifications involving manual steps, such as SCOP and CATH, face the challenge of increasing volume of available structures. Automatic methods such as FSSP or Dali Domain Dict...

journal_title：BMC bioinformatics

authors： Sam V,Tai CH,Garnier J,Gibrat JF,Lee B,Munson PJ

更新日期：2008-01-31 00:00:00

abstract：BACKGROUND:To further our understanding of immunopeptidomics, improved tools are needed to identify peptides presented by major histocompatibility complex class I (MHC-I). Many existing tools are limited by their reliance upon chemical affinity data, which is less biologically relevant than sampling by mass spectrometr...

journal_title：BMC bioinformatics

authors： Boehm KM,Bhinder B,Raja VJ,Dephoure N,Elemento O

更新日期：2019-01-05 00:00:00

abstract：BACKGROUND:As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. However, its clinical use is not fully validated yet. An important factor to prevent this young technology to become a mainstream cancer diagnos...

journal_title：BMC bioinformatics

authors： Han H

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:Historically, two categories of computational algorithms (alignment-based and alignment-free) have been applied to sequence comparison-one of the most fundamental issues in bioinformatics. Multiple sequence alignment, although dominantly used by biologists, possesses both fundamental as well as computational...

journal_title：BMC bioinformatics

authors： Lu G,Zhang S,Fang X

更新日期：2008-05-28 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) play several roles in living cells, and computational PPI prediction is a major focus of many researchers. The three-dimensional (3D) structure and binding surface are important for the design of PPI inhibitors. Therefore, rigid body protein-protein docking calculations fo...

journal_title：BMC bioinformatics

authors： Hayashi T,Matsuzaki Y,Yanagisawa K,Ohue M,Akiyama Y

更新日期：2018-05-08 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:The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray technology this enables researchers to gain insights into signaling pathways by observing downstream effects of individual knock-downs on gene ex...

journal_title：BMC bioinformatics

authors： Froehlich H,Fellmann M,Sueltmann H,Poustka A,Beissbarth T

更新日期：2007-10-15 00:00:00

abstract：BACKGROUND:Isocitrate Dehydrogenases (IDHs) are important enzymes present in all living cells. Three subfamilies of functionally dimeric IDHs (subfamilies I, II, III) are known. Subfamily I are well-studied bacterial IDHs, like that of Escherischia coli. Subfamily II has predominantly eukaryotic members, but it also ha...

journal_title：BMC bioinformatics

authors： Vinekar R,Verma C,Ghosh I

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Caspases are a family of proteases that have central functions in programmed cell death (apoptosis) and inflammation. Caspases mediate their effects through aspartate-specific cleavage of their target proteins, and at present almost 400 caspase substrates are known. There are several methods developed to pre...

journal_title：BMC bioinformatics

authors： Piippo M,Lietzén N,Nevalainen OS,Salmi J,Nyman TA

更新日期：2010-06-15 00:00:00

abstract：BACKGROUND:HIV/AIDS is a serious threat to public health. The emergence of drug resistance mutations diminishes the effectiveness of drug therapy for HIV/AIDS. Developing a computational prediction of drug resistance phenotype will enable efficient and timely selection of the best treatment regimens. RESULTS:A unified...

journal_title：BMC bioinformatics

authors： Shen C,Yu X,Harrison RW,Weber IT

更新日期：2016-08-31 00:00:00

abstract：BACKGROUND:The exponential growth of gigantic biological data from various sources, such as protein-protein interaction (PPI), genome sequences scaffolding, Mass spectrometry (MS) molecular networking and metabolic flux, demands an efficient way for better visualization and interpretation beyond the conventional, two-d...

journal_title：BMC bioinformatics

authors： Wang Q,Tang B,Song L,Ren B,Liang Q,Xie F,Zhuo Y,Liu X,Zhang L

更新日期：2013-11-14 00:00:00

abstract：BACKGROUND:Metabolome analysis with GC/MS has meanwhile been established as one of the "omics" techniques. Compound identification is done by comparison of the MS data with compound libraries. Mass spectral libraries in the field of metabolomics ought to connect the relevant mass traces of the metabolites to other rele...

journal_title：BMC bioinformatics

authors： Thielen B,Heinen S,Schomburg D

更新日期：2009-07-22 00:00:00

abstract：BACKGROUND:Parametric feature selection methods for machine learning and association studies based on genetic data are not robust with respect to outliers or influential observations. While rank-based, distribution-free statistics offer a robust alternative to parametric methods, their practical utility can be limited,...

journal_title：BMC bioinformatics

authors： Lin J,Sibley A,Shterev I,Nixon A,Innocenti F,Chan C,Owzar K

更新日期：2019-06-13 00:00:00

abstract：BACKGROUND:Throughout the metazoan lineage, typically gonadal expressed Piwi proteins and their guiding piRNAs (~26-32nt in length) form a protective mechanism of RNA interference directed against the propagation of transposable elements (TEs). Most piRNAs are generated from genomic piRNA clusters. Annotation of experi...

journal_title：BMC bioinformatics

authors： Rosenkranz D,Zischler H

更新日期：2012-01-10 00:00:00

abstract：BACKGROUND:RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and even more so transcript counting methods which avoid mapping and quantify gene and transcript expres...

journal_title：BMC bioinformatics

authors： Pérez-Rubio P,Lottaz C,Engelmann JC

更新日期：2019-05-03 00:00:00

abstract：BACKGROUND:Identifying drug-target interaction is a key element in drug discovery. In silico prediction of drug-target interaction can speed up the process of identifying unknown interactions between drugs and target proteins. In recent studies, handcrafted features, similarity metrics and machine learning methods have...

journal_title：BMC bioinformatics

authors： Eslami Manoochehri H,Nourani M

更新日期：2020-07-06 00:00:00

abstract：BACKGROUND:As whole-genome sequencing is becoming a routine technique, it is important to identify a cost-effective depth of sequencing for such studies. However, the relationship between sequencing depth and biological results from the aspects of whole-genome coverage, variant discovery power and the quality of varian...

journal_title：BMC bioinformatics

authors： Jiang Y,Jiang Y,Wang S,Zhang Q,Ding X

更新日期：2019-11-08 00:00:00

abstract：BACKGROUND:Integration of heterogeneous data types is a challenging problem, especially in biology, where the number of databases and data types increase rapidly. Amongst the problems that one has to face are integrity, consistency, redundancy, connectivity, expressiveness and updatability. DESCRIPTION:Here we present...

journal_title：BMC bioinformatics

authors： Birkland A,Yona G

更新日期：2006-02-15 00:00:00

abstract：BACKGROUND:Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a specific microarray experiment profits enormously from cross-comparing to other experiments. This process is generally performed by numerical ...

journal_title：BMC bioinformatics

authors： Finocchiaro G,Mancuso F,Muller H

更新日期：2005-12-01 00:00:00

abstract：BACKGROUND:Gene expression experiments are common in molecular biology, for example in order to identify genes which play a certain role in a specified biological framework. For that purpose expression levels of several thousand genes are measured simultaneously using DNA microarrays. Comparing two distinct groups of t...

journal_title：BMC bioinformatics

authors： Jung K,Friede T,Beissbarth T

更新日期：2011-07-15 00:00:00

abstract：BACKGROUND:Manual chemical data curation from publications is error-prone, time consuming, and hard to maintain up-to-date data sets. Automatic information extraction can be used as a tool to reduce these problems. Since chemical structures usually described in images, information extraction needs to combine structure ...

journal_title：BMC bioinformatics

authors： Tharatipyakul A,Numnark S,Wichadakul D,Ingsriswang S

更新日期：2012-01-01 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:Protein function in eukaryotic cells is often controlled in a cell cycle-dependent manner. Therefore, the correct assignment of cellular phenotypes to cell cycle phases is a crucial task in cell biology research. Nuclear proteins whose localization varies during the cell cycle are valuable and frequently use...

journal_title：BMC bioinformatics

authors： Schönenberger F,Deutzmann A,Ferrando-May E,Merhof D

更新日期：2015-05-29 00:00:00

abstract：BACKGROUND:Cryo-electron microscopy (Cryo-EM) is widely used in the determination of the three-dimensional (3D) structures of macromolecules. Particle picking from 2D micrographs remains a challenging early step in the Cryo-EM pipeline due to the diversity of particle shapes and the extremely low signal-to-noise ratio ...

journal_title：BMC bioinformatics

authors： Al-Azzawi A,Ouadou A,Max H,Duan Y,Tanner JJ,Cheng J

更新日期：2020-11-09 00:00:00

abstract：BACKGROUND:The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been made to analyze the data sets in order to understand protein activities. Considering that the basic units of protein interactions are domain i...

journal_title：BMC bioinformatics

authors： Lee H,Deng M,Sun F,Chen T

更新日期：2006-05-25 00:00:00

abstract：BACKGROUND:In many biomedical applications, there is a need for developing classification models based on noisy annotations. Recently, various methods addressed this scenario by relaying on unreliable annotations obtained from multiple sources. RESULTS:We proposed a probabilistic classification algorithm based on labe...

journal_title：BMC bioinformatics

authors： Zhang P,Cao W,Obradovic Z

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Long short-term memory (LSTM) is one of the most attractive deep learning methods to learn time series or contexts of input data. Increasing studies, including biological sequence analyses in bioinformatics, utilize this architecture. Amino acid sequence profiles are widely used for bioinformatics studies, s...

journal_title：BMC bioinformatics

authors： Yamada KD,Kinoshita K

更新日期：2018-07-18 00:00:00