An ensemble framework for identifying essential proteins.

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:The continuous flow of EST data remains one of the richest sources for discoveries in modern biology. The first step in EST data mining is usually associated with EST clustering, the process of grouping of original fragments according to their annotation, similarity to known genomic DNA or each other. Cluste...

journal_title：BMC bioinformatics

authors： Ptitsyn A,Hide W

更新日期：2005-07-15 00:00:00

abstract：BACKGROUND:Reference genome assemblies are valuable, as they provide insights into gene content, genetic evolution and domestication. The higher the quality of a reference genome assembly the more accurate the downstream analysis will be. During the last few years, major efforts have been made towards improving the qua...

journal_title：BMC bioinformatics

authors： Yuan Y,Bayer PE,Scheben A,Chan CK,Edwards D

更新日期：2017-06-30 00:00:00

abstract：BACKGROUND:Proteins undergo conformational transitions over different time scales. These transitions are closely intertwined with the protein's function. Numerous standard techniques such as principal component analysis are used to detect these transitions in molecular dynamics simulations. In this work, we add a new m...

journal_title：BMC bioinformatics

authors： Karain WI

更新日期：2017-11-28 00:00:00

abstract：BACKGROUND:The traditional phylogeny analysis within gene family is mainly based on DNA or amino acid sequence homologies. However, these phylogenetic tree analyses are not suitable for those "non-traditional" gene families like microRNA with very short sequences. For the normal protein-coding gene families, low bootst...

journal_title：BMC bioinformatics

authors： Cai B,Yang X,Tuskan GA,Cheng ZM

更新日期：2011-03-18 00:00:00

abstract：BACKGROUND:Ribosomal 16S DNA sequences are an essential tool for identifying and classifying microbes. High-throughput DNA sequencing now makes it economically possible to produce very large datasets of 16S rDNA sequences in short time periods, necessitating new computer tools for analyses. Here we describe FastGroup, ...

journal_title：BMC bioinformatics

authors： Seguritan V,Rohwer F

更新日期：2001-01-01 00:00:00

abstract：BACKGROUND:Cartilage damage is a crucial feature involved in several pathological conditions characterized by joint disorders, such as osteoarthritis and rheumatoid arthritis. Accumulated evidences showed that Wnt/β-catenin pathway plays a role in the pathogenesis of cartilage damage. In addition, it is experimentally ...

journal_title：BMC bioinformatics

authors： Zhou W,He X,Chen Z,Fan D,Wang Y,Feng H,Zhang G,Lu A,Xiao L

更新日期：2019-07-31 00:00:00

abstract：BACKGROUND:Reliability and Reproducibility of differentially expressed genes (DEGs) are essential for the biological interpretation of microarray data. The microarray quality control (MAQC) project launched by US Food and Drug Administration (FDA) elucidated that the lists of DEGs generated by intra- and inter-platform...

journal_title：BMC bioinformatics

authors： Zhang L,Zhang J,Yang G,Wu D,Jiang L,Wen Z,Li M

更新日期：2013-04-29 00:00:00

abstract：BACKGROUND:Visualization tools for deep learning models typically focus on discovering key input features without considering how such low level features are combined in intermediate layers to make decisions. Moreover, many of these methods examine a network's response to specific input examples that may be insufficien...

journal_title：BMC bioinformatics

authors： Liu G,Zeng H,Gifford DK

更新日期：2019-07-19 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:Bioinformatics research for finding biological mechanisms can be done by analysis of transcriptome data with pathway based interpretation. Therefore, researchers have tried to develop tools to analyze transcriptome data with pathway based interpretation. Over the years, the amount of omics data has become hu...

journal_title：BMC bioinformatics

authors： Kim I,Choi S,Kim S

更新日期：2018-02-19 00:00:00

abstract：BACKGROUND:Human immunology studies often rely on the isolation and quantification of cell populations from an input sample based on flow cytometry and related techniques. Such techniques classify cells into populations based on the detection of a pattern of markers. The description of the cell populations targeted in ...

journal_title：BMC bioinformatics

authors： Overton JA,Vita R,Dunn P,Burel JG,Bukhari SAC,Cheung KH,Kleinstein SH,Diehl AD,Peters B

更新日期：2019-04-25 00:00:00

abstract：BACKGROUND:Failure on Highly Active Anti-Retroviral Treatment is often accompanied with development of antiviral resistance to one or more drugs included in the treatment. In general, the virus is more likely to develop resistance to drugs with a lower genetic barrier. Previously, we developed a method to reverse engin...

journal_title：BMC bioinformatics

authors： Theys K,Deforche K,Beheydt G,Moreau Y,van Laethem K,Lemey P,Camacho RJ,Rhee SY,Shafer RW,Van Wijngaerden E,Vandamme AM

更新日期：2010-08-03 00:00:00

abstract：BACKGROUND:Tandem repeats are multiple duplications of substrings in the DNA that occur contiguously, or at a short distance, and may involve some mutations (such as substitutions, insertions, and deletions). Tandem repeats have been extensively studied also for their association with the class of repeat expansion dise...

journal_title：BMC bioinformatics

authors： Pellegrini M,Renda ME,Vecchio A

更新日期：2012-03-28 00:00:00

abstract：BACKGROUND:Dynamic programming algorithms provide exact solutions to many problems in computational biology, such as sequence alignment, RNA folding, hidden Markov models (HMMs), and scoring of phylogenetic trees. Structurally analogous algorithms compute optimal solutions, evaluate score distributions, and perform sto...

journal_title：BMC bioinformatics

authors： zu Siederdissen CH,Prohaska SJ,Stadler PF

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:DNA methylation of CpG dinucleotides is an essential epigenetic modification that plays a key role in transcription. Widely used DNA enrichment-based methods offer high coverage for measuring methylated CpG dinucleotides, with the lowest cost per CpG covered genome-wide. However, these methods measure the DN...

journal_title：BMC bioinformatics

authors： Xu J,Liu S,Yin P,Bulun S,Dai Y

更新日期：2018-12-22 00:00:00

abstract：BACKGROUND:New sequencing techniques require new visualization strategies, as is the case for epigenomics data such as DNA base modifications, small non-coding RNAs, and histone modifications. RESULTS:We present a set of plugins for the genome browser JBrowse that are targeted for epigenomics visualizations. Specifica...

journal_title：BMC bioinformatics

authors： Hofmeister BT,Schmitz RJ

更新日期：2018-04-25 00:00:00

abstract：BACKGROUND:Due to recent technology advancements, disease related knowledge is growing rapidly. It becomes nontrivial to go through all published literature to identify associations between human diseases and genetic, environmental, and life style factors, disease symptoms, and treatment strategies. Here we report DLAD...

journal_title：BMC bioinformatics

authors： Shen J,Vasaikar S,Zhang B

更新日期：2018-12-28 00:00:00

abstract：BACKGROUND:A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For this purpose genome-wide identification of bimodally expressed genes from gene array data is relevant because distinguishability of high and lo...

journal_title：BMC bioinformatics

authors： Hellwig B,Hengstler JG,Schmidt M,Gehrmann MC,Schormann W,Rahnenführer J

更新日期：2010-05-25 00:00:00

abstract：BACKGROUND:Atomic details of protein-DNA complexes can provide insightful information for better understanding of the function and binding specificity of DNA binding proteins. In addition to experimental methods for solving protein-DNA complex structures, protein-DNA docking can be used to predict native or near-native...

journal_title：BMC bioinformatics

authors： Corona RI,Sudarshan S,Aluru S,Guo JT

更新日期：2018-12-21 00:00:00

abstract：BACKGROUND:Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and never with the control provided by simulation analysis. This study ...

journal_title：BMC bioinformatics

authors： Rosenberg MS

更新日期：2005-11-23 00:00:00

abstract：BACKGROUND:Several large-scale gene co-expression networks have been constructed successfully for predicting gene functional modules and cis-regulatory elements in Arabidopsis (Arabidopsis thaliana). However, these networks are usually constructed and analyzed in an ad hoc manner. In this study, we propose a completely...

journal_title：BMC bioinformatics

authors： Ruan J,Perez J,Hernandez B,Lei C,Sunter G,Sponsel VM

更新日期：2011-11-24 00:00:00

abstract：BACKGROUND:XHMM is a widely used tool for copy-number variant (CNV) discovery from whole exome sequencing data but can require hours to days to run for large cohorts. A more scalable implementation would reduce the need for specialized computational resources and enable increased exploration of the configuration parame...

journal_title：BMC bioinformatics

authors： Linderman MD,Chia D,Wallace F,Nothaft FA

更新日期：2019-10-11 00:00:00

abstract：BACKGROUND:The adaptation of the CRISPR-Cas9 system to pooled library gene knockout screens in mammalian cells represents a major technological leap over RNA interference, the prior state of the art. New methods for analyzing the data and evaluating results are needed. RESULTS:We offer BAGEL (Bayesian Analysis of Gene...

journal_title：BMC bioinformatics

authors： Hart T,Moffat J

更新日期：2016-04-16 00:00:00

abstract：BACKGROUND:Identifying protein complexes from protein-protein interaction (PPI) network is one of the most important tasks in proteomics. Existing computational methods try to incorporate a variety of biological evidences to enhance the quality of predicted complexes. However, it is still a challenge to integrate diffe...

journal_title：BMC bioinformatics

authors： Xu B,Li K,Zheng W,Liu X,Zhang Y,Zhao Z,He Z

更新日期：2018-12-20 00:00:00

abstract：BACKGROUND:High-throughput methods can directly detect the set of interacting proteins in model species but the results are often incomplete and exhibit high false positive and false negative rates. A number of researchers have recently presented methods for integrating direct and indirect data for predicting interacti...

journal_title：BMC bioinformatics

authors： Qi Y,Klein-Seetharaman J,Bar-Joseph Z

更新日期：2007-01-01 00:00:00

abstract：BACKGROUND:Determining a suitable sample size is an important step in the planning of microarray experiments. Increasing the number of arrays gives more statistical power, but adds to the total cost of the experiment. Several approaches for sample size determination have been developed for expression array studies, but...

journal_title：BMC bioinformatics

authors： Scheinin I,Ferreira JA,Knuutila S,Meijer GA,van de Wiel MA,Ylstra B

更新日期：2010-06-17 00:00:00

abstract：BACKGROUND:In metabolomics experiments, spectral fingerprints of metabolites with no known structural identity are detected routinely. Computer-assisted structure elucidation (CASE) has been used to determine the structural identities of unknown compounds. It is generally accepted that a single 1D NMR spectrum or mass ...

journal_title：BMC bioinformatics

authors： Jayaseelan KV,Steinbeck C

更新日期：2014-07-05 00:00:00

abstract：BACKGROUND:High throughput DNA/RNA sequencing has revolutionized biological and clinical research. Sequencing is widely used, and generates very large amounts of data, mainly due to reduced cost and advanced technologies. Quickly assessing the quality of giga-to-tera base levels of sequencing data has become a routine ...

journal_title：BMC bioinformatics

authors： Chanumolu SK,Albahrani M,Otu HH

更新日期：2019-08-15 00:00:00

abstract：BACKGROUND:The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computational tool for the prediction of subnuclear and subcellular localizations generally applicable to protein sequences. The information on localiza...

journal_title：BMC bioinformatics

authors： Lei Z,Dai Y

更新日期：2005-12-07 00:00:00