ModuleOrganizer: detecting modules in families of transposable elements.

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:Ensemble predictors such as the random forest are known to have superior accuracy but their black-box predictions are difficult to interpret. In contrast, a generalized linear model (GLM) is very interpretable especially when forward feature selection is used to construct the model. However, forward feature ...

journal_title：BMC bioinformatics

authors： Song L,Langfelder P,Horvath S

更新日期：2013-01-16 00:00:00

abstract：BACKGROUND:Automatic quantification of neuronal morphology from images of fluorescence microscopy plays an increasingly important role in high-content screenings. However, there exist very few freeware tools and methods which provide automatic neuronal morphology quantification for pharmacological discovery. RESULTS:T...

journal_title：BMC bioinformatics

authors： Ho SY,Chao CY,Huang HL,Chiu TW,Charoenkwan P,Hwang E

更新日期：2011-06-08 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:Gene duplication events have played a significant role in genome evolution, particularly in plants. Exhaustive searches for all members of a known gene family as well as the identification of new gene families has become increasingly important. Subfunctionalization via changes in regulatory sequences followi...

journal_title：BMC bioinformatics

authors： Frank RL,Mane A,Ercal F

更新日期：2006-09-06 00:00:00

abstract：BACKGROUND:One of the most crucial steps in high-throughput sequence-based microbiome studies is the taxonomic assignment of sequences belonging to operational taxonomic units (OTUs). Without taxonomic classification, functional and biological information of microbial communities cannot be inferred or interpreted. The ...

journal_title：BMC bioinformatics

authors： Gdanetz K,Benucci GMN,Vande Pol N,Bonito G

更新日期：2017-12-06 00:00:00

abstract：BACKGROUND:Cancer is caused through a multistep process, in which a succession of genetic changes, each conferring a competitive advantage for growth and proliferation, leads to the progressive conversion of normal human cells into malignant cancer cells. Interrogation of cancer genomes holds the promise of understandi...

journal_title：BMC bioinformatics

authors： Sanchez-Garcia F,Akavia UD,Mozes E,Pe'er D

更新日期：2010-04-14 00:00:00

abstract：BACKGROUND:Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles derived from multiple sequence alignments provide an alternative description of functional motifs characterizing families of related sequences. ...

journal_title：BMC bioinformatics

authors： Hummel J,Keshvari N,Weckwerth W,Selbig J

更新日期：2005-06-29 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：:Complexes of physically interacting proteins are one of the fundamental functional units responsible for driving key biological mechanisms within the cell. With the advent of high-throughput techniques, significant amount of protein interaction (PPI) data has been catalogued for organisms such as yeast, which has in t...

journal_title：BMC bioinformatics

authors： Srihari S,Leong HW

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:High throughput sequencing technology provides us unprecedented opportunities to study transcriptome dynamics. Compared to microarray-based gene expression profiling, RNA-Seq has many advantages, such as high resolution, low background, and ability to identify novel transcripts. Moreover, for genes with mult...

journal_title：BMC bioinformatics

authors： Zheng W,Chung LM,Zhao H

更新日期：2011-07-19 00:00:00

abstract：BACKGROUND:Cryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles in the field of structural cell biology. However, due to the low signal-to-noise ratio (SNR), large volume and high content complexity within cells, it remains difficult a...

journal_title：BMC bioinformatics

authors： Li R,Zeng X,Sigmund SE,Lin R,Zhou B,Liu C,Wang K,Jiang R,Freyberg Z,Lv H,Xu M

更新日期：2019-03-29 00:00:00

abstract：BACKGROUND:Genome scale data on protein interactions are generally represented as large networks, or graphs, where hundreds or thousands of proteins are linked to one another. Since proteins tend to function in groups, or complexes, an important goal has been to reliably identify protein complexes from these graphs. Th...

journal_title：BMC bioinformatics

authors： Vlasblom J,Wodak SJ

更新日期：2009-03-30 00:00:00

abstract：BACKGROUND:Molecular recognition in proteins occurs due to appropriate arrangements of physical, chemical, and geometric properties of an atomic surface. Similar surface regions should create similar binding interfaces. Effective methods for comparing surface regions can be used in identifying similar regions, and to p...

journal_title：BMC bioinformatics

authors： Cipriano GM,Phillips GN Jr,Gleicher M

更新日期：2012-11-24 00:00:00

abstract：BACKGROUND:Next Generation Sequencing (NGS) is a commonly used technology for studying the genetic basis of biological processes and it underpins the aspirations of precision medicine. However, there are significant challenges when dealing with NGS data. Firstly, a huge number of bioinformatics tools for a wide range o...

journal_title：BMC bioinformatics

authors： Iacoangeli A,Al Khleifat A,Sproviero W,Shatunov A,Jones AR,Morgan SL,Pittman A,Dobson RJ,Newhouse SJ,Al-Chalabi A

更新日期：2019-04-27 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:Knowledge of subcellular localization of proteins is crucial to proteomics, drug target discovery and systems biology since localization and biological function are highly correlated. In recent years, numerous computational prediction methods have been developed. Nevertheless, there is still a need for predi...

journal_title：BMC bioinformatics

authors： Blum T,Briesemeister S,Kohlbacher O

更新日期：2009-09-01 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:Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectral content of a given time series. The exact noise characteristics are unknown in many bioinformatics applications. Furthermore, the observed ...

journal_title：BMC bioinformatics

authors： Ahdesmäki M,Lähdesmäki H,Pearson R,Huttunen H,Yli-Harja O

更新日期：2005-05-13 00:00:00

abstract：BACKGROUND:Microarray has been widely used to measure the gene expression level on the genome scale in the current decade. Many algorithms have been developed to reconstruct gene regulatory networks based on microarray data. Unfortunately, most of these models and algorithms focus on global properties of the expression...

journal_title：BMC bioinformatics

authors： Liu W,Li D,Liu Q,Zhu Y,He F

更新日期：2010-12-14 00:00:00

abstract：BACKGROUND:To identify and prioritize the influential hub genes in a gene-set or biological pathway, most analyses rely on calculation of marginal effects or tests of statistical significance. These procedures may be inappropriate since hub nodes are common connection points and therefore may interact with other nodes ...

journal_title：BMC bioinformatics

authors： Chang HC,Chu CP,Lin SJ,Hsiao CK

更新日期：2020-03-12 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:In recent years, a considerable amount of research effort has been directed to the analysis of biological networks with the availability of genome-scale networks of genes and/or proteins of an increasing number of organisms. A protein-protein interaction (PPI) network is a particular biological network which...

journal_title：BMC bioinformatics

authors： Turanalp ME,Can T

更新日期：2008-06-11 00:00:00

abstract：BACKGROUND:Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introduce additional variability into normalized expression levels due to innate variation (between tissues, individuals, etc). To minimize this inna...

journal_title：BMC bioinformatics

authors： Chervoneva I,Li Y,Schulz S,Croker S,Wilson C,Waldman SA,Hyslop T

更新日期：2010-05-14 00:00:00

abstract：BACKGROUND:Understanding research activity within any given biomedical field is important. Search outputs generated by MEDLINE/PubMed are not well classified and require lengthy manual citation analysis. Automation of citation analytics can be very useful and timesaving for both novices and experts. RESULTS:PubFocus w...

journal_title：BMC bioinformatics

authors： Plikus MV,Zhang Z,Chuong CM

更新日期：2006-10-02 00:00:00

abstract：BACKGROUND:Time- and dose-to-event phenotypes used in basic science and translational studies are commonly measured imprecisely or incompletely due to limitations of the experimental design or data collection schema. For example, drug-induced toxicities are not reported by the actual time or dose triggering the event, ...

journal_title：BMC bioinformatics

authors： Li Z,Lin J,Sibley AB,Truong T,Chua KC,Jiang Y,McCarthy J,Kroetz DL,Allen A,Owzar K

更新日期：2019-05-28 00:00:00

abstract：BACKGROUND:Profile-based comparison of multiple sequence alignments is a powerful methodology for the detection remote protein sequence similarity, which is essential for the inference and analysis of protein structure, function, and evolution. Accurate estimation of statistical significance of detected profile similar...

journal_title：BMC bioinformatics

authors： Sadreyev RI,Wang Y,Grishin NV

更新日期：2009-12-04 00:00:00

abstract：BACKGROUND:High throughput experiments have generated a significantly large amount of protein interaction data, which is being used to study protein networks. Studying complete protein networks can reveal more insight about healthy/disease states than studying proteins in isolation. Similarly, a comparative study of pr...

journal_title：BMC bioinformatics

authors： Ayub U,Haider I,Naveed H

更新日期：2020-11-04 00:00:00

abstract：BACKGROUND:GmrSD is a modification-dependent restriction endonuclease that specifically targets and cleaves glucosylated hydroxymethylcytosine (glc-HMC) modified DNA. It is encoded either as two separate single-domain GmrS and GmrD proteins or as a single protein carrying both domains. Previous studies suggested that G...

journal_title：BMC bioinformatics

authors： Machnicka MA,Kaminska KH,Dunin-Horkawicz S,Bujnicki JM

更新日期：2015-10-23 00:00:00

abstract：:In comparative genomics, the rearrangement distance between two genomes (equal the minimal number of genome rearrangements required to transform them into a single genome) is often used for measuring their evolutionary remoteness. Generalization of this measure to three genomes is known as the median score (while a re...

journal_title：BMC bioinformatics

authors： Aganezov S Jr,Alekseyev MA

更新日期：2012-01-01 00:00:00