DisCons: a novel tool to quantify and classify evolutionary conservation of intrinsic protein disorder.

abstract：BACKGROUND:Phylogenetic trees are an important tool to study the evolutionary relationships among organisms. The huge amount of available taxa poses difficulties in their interactive visualization. This hampers the interaction with the users to provide feedback for the further improvement of the taxonomic framework. R...

journal_title：BMC bioinformatics

authors： Beccati A,Gerken J,Quast C,Yilmaz P,Glöckner FO

更新日期：2017-09-30 00:00:00

abstract：BACKGROUND:Comparative analysis of whole genome sequence data from closely related prokaryotic species or strains is becoming an increasingly important and accessible approach for addressing both fundamental and applied biological questions. While there are number of excellent tools developed for performing this task, ...

journal_title：BMC bioinformatics

authors： Thakur S,Guttman DS

更新日期：2016-06-30 00:00:00

abstract：BACKGROUND:Lineage rate heterogeneity can be a major source of bias, especially in multi-gene phylogeny inference. We had previously tackled this issue by developing LS3, a data subselection algorithm that, by removing fast-evolving sequences in a gene-specific manner, identifies subsets of sequences that evolve at a r...

journal_title：BMC bioinformatics

authors： Rivera-Rivera CJ,Montoya-Burgos JI

更新日期：2019-08-13 00:00:00

abstract：BACKGROUND:The miRNAs, a class of short approximately 22-nucleotide non-coding RNAs, often act post-transcriptionally to inhibit mRNA expression. In effect, they control gene expression by targeting mRNA. They also help in carrying out normal functioning of a cell as they play an important role in various cellular proc...

journal_title：BMC bioinformatics

authors： Paul S,Maji P

更新日期：2013-09-04 00:00:00

abstract：BACKGROUND:Uncovering the relationship between the conserved chromosomal segments and the functional relatedness of elements within these segments is an important question in computational genomics. We build upon the series of works on gene teams and homology teams. RESULTS:Our primary contribution is a local sliding-...

journal_title：BMC bioinformatics

authors： Sarkar A,Soueidan H,Nikolski M

更新日期：2011-10-05 00:00:00

abstract：BACKGROUND:With continuing identification of novel structured noncoding RNAs, there is an increasing need to create schematic diagrams showing the consensus features of these molecules. RNA structural diagrams are typically made either with general-purpose drawing programs like Adobe Illustrator, or with automated or i...

journal_title：BMC bioinformatics

authors： Weinberg Z,Breaker RR

更新日期：2011-01-04 00:00:00

abstract：BACKGROUND:The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlations amongst heterogeneous data such as Gene Ontology annotations, gene expression data and genome location of genes. Despite the rapid growth ...

journal_title：BMC bioinformatics

authors： Barriot R,Sherman DJ,Dutour I

更新日期：2007-09-11 00:00:00

abstract：BACKGROUND:SNP genotyping microarrays have revolutionized the study of complex disease. The current range of commercially available genotyping products contain extensive catalogues of low frequency and rare variants. Existing SNP calling algorithms have difficulty dealing with these low frequency variants, as the under...

journal_title：BMC bioinformatics

authors： Liu R,Dai Z,Yeager M,Irizarry RA,Ritchie ME

更新日期：2014-05-23 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:The toxic effects of many simple organic compounds stem from their biotransformation to chemically reactive metabolites which bind covalently to cellular proteins. To understand the mechanisms of cytotoxic responses it may be important to know which proteins become adducted and whether some may be common tar...

journal_title：BMC bioinformatics

authors： Hanzlik RP,Koen YM,Theertham B,Dong Y,Fang J

更新日期：2007-03-16 00:00:00

abstract：BACKGROUND:Metabolomics experiments using Mass Spectrometry (MS) technology measure the mass to charge ratio (m/z) and intensity of ionised molecules in crude extracts of complex biological samples to generate high dimensional metabolite 'fingerprint' or metabolite 'profile' data. High resolution MS instruments perform...

journal_title：BMC bioinformatics

authors： Draper J,Enot DP,Parker D,Beckmann M,Snowdon S,Lin W,Zubair H

更新日期：2009-07-21 00:00:00

abstract：BACKGROUND:Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray platforms. This substantial repository has been used extensively to characterize changes in gene expression between biological samples, but h...

journal_title：BMC bioinformatics

authors： Robinson TJ,Dinan MA,Dewhirst M,Garcia-Blanco MA,Pearson JL

更新日期：2010-02-25 00:00:00

abstract：BACKGROUND:Inferring molecular pathway activity is an important step towards reducing the complexity of genomic data, understanding the heterogeneity in clinical outcome, and obtaining molecular correlates of cancer imaging traits. Increasingly, approaches towards pathway activity inference combine molecular profiles (...

journal_title：BMC bioinformatics

authors： Jiao Y,Lawler K,Patel GS,Purushotham A,Jones AF,Grigoriadis A,Tutt A,Ng T,Teschendorff AE

更新日期：2011-10-19 00:00:00

abstract：BACKGROUND:Inflammation is a core element of many different, systemic and chronic diseases that usually involve an important autoimmune component. The clinical phase of inflammatory diseases is often the culmination of a long series of pathologic events that started years before. The systemic characteristics and relate...

journal_title：BMC bioinformatics

authors： Xiao H,Bartoszek K,Lio' P

更新日期：2018-11-30 00:00:00

abstract：BACKGROUND:The detection of genomic copy number alterations (CNA) in cancer based on SNP arrays requires methods that take into account tumour specific factors such as normal cell contamination and tumour heterogeneity. A number of tools have been recently developed but their performance needs yet to be thoroughly asse...

journal_title：BMC bioinformatics

authors： Mosén-Ansorena D,Aransay AM,Rodríguez-Ezpeleta N

更新日期：2012-08-07 00:00:00

abstract：BACKGROUND:Detecting patterns in high-dimensional multivariate datasets is non-trivial. Clustering and dimensionality reduction techniques often help in discerning inherent structures. In biological datasets such as microbial community composition or gene expression data, observations can be generated from a continuous...

journal_title：BMC bioinformatics

authors： Nguyen LH,Holmes S

更新日期：2017-09-13 00:00:00

abstract：BACKGROUND:Membrane transport proteins (transporters) play an essential role in every living cell by transporting hydrophilic molecules across the hydrophobic membranes. While the sequences of many membrane proteins are known, their structure and function is still not well characterized and understood, owing to the imm...

journal_title：BMC bioinformatics

authors： Alballa M,Butler G

更新日期：2020-04-23 00:00:00

abstract：BACKGROUND:Since proteins perform their functions by interacting with one another and with other biomolecules, reconstructing a map of the protein-protein interactions of a cell, experimentally or computationally, is an important first step toward understanding cellular function and machinery of a proteome. Solely deri...

journal_title：BMC bioinformatics

authors： Wu X,Zhu L,Guo J,Fu C,Zhou H,Dong D,Li Z,Zhang DY,Lin K

更新日期：2006-12-18 00:00:00

abstract：BACKGROUND:The improvements in genomics methods coupled with readily accessible high-throughput sequencing have contributed to our understanding of microbial species, metagenomes, infectious diseases and more. To maximize the impact of these genomics studies, it is important that data from biological samples will becom...

journal_title：BMC bioinformatics

authors： Quiñones M,Liou DT,Shyu C,Kim W,Vujkovic-Cvijin I,Belkaid Y,Hurt DE

更新日期：2020-09-03 00:00:00

abstract：BACKGROUND:Sharing sets of chemical data (e.g., chemical properties, docking scores, etc.) among collaborators with diverse skill sets is a common task in computer-aided drug design and medicinal chemistry. The ability to associate this data with images of the relevant molecular structures greatly facilitates scientifi...

journal_title：BMC bioinformatics

authors： Durrant JD,Amaro RE

更新日期：2014-05-23 00:00:00

abstract：BACKGROUND:Interpretation of gene expression microarray data in the light of external information on both columns and rows (experimental variables and gene annotations) facilitates the extraction of pertinent information hidden in these complex data. Biologists classically interpret genes of interest after retrieving f...

journal_title：BMC bioinformatics

authors： Baty F,Rüdiger J,Miglino N,Kern L,Borger P,Brutsche M

更新日期：2013-06-06 00:00:00

abstract：BACKGROUND:Knowing the subcellular location of proteins provides clues to their function as well as the interconnectivity of biological processes. Dozens of tools are available for predicting protein location in the eukaryotic cell. Each tool performs well on certain data sets, but their predictions often disagree for ...

journal_title：BMC bioinformatics

authors： Shen YQ,Burger G

更新日期：2007-10-29 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA levels. Computational prediction of miRNA targets is essential for elucidating the detailed functions of miRNA. However, the prediction speci...

journal_title：BMC bioinformatics

authors： Liu H,Yue D,Chen Y,Gao SJ,Huang Y

更新日期：2010-09-22 00:00:00

abstract：:Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measures of their expression dynamics. In this paper we apply a correlation based approach to network reconstruction to three datasets of time se...

journal_title：BMC bioinformatics

authors： Neretti N,Remondini D,Tatar M,Sedivy JM,Pierini M,Mazzatti D,Powell J,Franceschi C,Castellani GC

更新日期：2007-03-08 00:00:00

abstract：BACKGROUND:Because common complex diseases are affected by multiple genes and environmental factors, it is essential to investigate gene-gene and/or gene-environment interactions to understand genetic architecture of complex diseases. After the great success of large scale genome-wide association (GWA) studies using th...

journal_title：BMC bioinformatics

authors： Oh S,Lee J,Kwon MS,Weir B,Ha K,Park T

更新日期：2012-06-11 00:00:00

abstract：BACKGROUND:This study addresses a recurrent biological problem, that is to define a formal clustering structure for a set of tissues on the basis of the relative abundance of multiple alternatively spliced isoforms mRNAs generated by the same gene. To this aim, we have used a model-based clustering approach, based on a...

journal_title：BMC bioinformatics

authors： Pelosi M,Alfò M,Martella F,Pappalardo E,Musarò A

更新日期：2015-09-15 00:00:00

abstract：BACKGROUND:The analysis of tissue-specific protein interaction networks and their functional enrichment in pathological and normal tissues provides insights on the etiology of diseases. The Pan-cancer proteomic project, in The Cancer Genome Atlas, collects protein expressions in human cancers and it is a reference reso...

journal_title：BMC bioinformatics

authors： Sardina DS,Micale G,Ferro A,Pulvirenti A,Giugno R

更新日期：2018-07-09 00:00:00

abstract：BACKGROUND:Stable isotope tracing can follow individual atoms through metabolic transformations through the detection of the incorporation of stable isotope within metabolites. This resulting data can be interpreted in terms related to metabolic flux. However, detection of a stable isotope in metabolites by mass spectr...

journal_title：BMC bioinformatics

authors： Jin H,Moseley HNB

更新日期：2019-10-28 00:00:00

abstract：BACKGROUND:An important mechanism of endocrine activity is chemicals entering target cells via transport proteins and then interacting with hormone receptors such as the estrogen receptor (ER). α-Fetoprotein (AFP) is a major transport protein in rodent serum that can bind and sequester estrogens, thus preventing entry ...

journal_title：BMC bioinformatics

authors： Shen J,Zhang W,Fang H,Perkins R,Tong W,Hong H

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Biomedical research projects deal with data management requirements from multiple sources like funding agencies' guidelines, publisher policies, discipline best practices, and their own users' needs. We describe functional and quality requirements based on many years of experience implementing data managemen...

journal_title：BMC bioinformatics

authors： Suhr M,Lehmann C,Bauer CR,Bender T,Knopp C,Freckmann L,Öst Hansen B,Henke C,Aschenbrandt G,Kühlborn LK,Rheinländer S,Weber L,Marzec B,Hellkamp M,Wieder P,Sax U,Kusch H,Nussbeck SY

更新日期：2020-12-17 00:00:00