听力与言语-语言病理学

行为科学

医学伦理学

你正在浏览BMC BIOINFORMATICS期刊下所有文献
  • Statistical assessment and visualization of synergies for large-scale sparse drug combination datasets.

    abstract:BACKGROUND:Drug combinations have the potential to improve efficacy while limiting toxicity. To robustly identify synergistic combinations, high-throughput screens using full dose-response surface are desirable but require an impractical number of data points. Screening of a sparse number of doses per drug allows to sc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2642-7

    authors: Amzallag A,Ramaswamy S,Benes CH

    更新日期:2019-02-18 00:00:00

  • Identifying cancer prognostic modules by module network analysis.

    abstract:BACKGROUND:The identification of prognostic genes that can distinguish the prognostic risks of cancer patients remains a significant challenge. Previous works have proven that functional gene sets were more reliable for this task than the gene signature. However, few works have considered the cross-talk among functiona...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2674-z

    authors: Zhou XH,Chu XY,Xue G,Xiong JH,Zhang HY

    更新日期:2019-02-18 00:00:00

  • ADS-HCSpark: A scalable HaplotypeCaller leveraging adaptive data segmentation to accelerate variant calling on Spark.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2665-0

    authors: Xiao A,Wu Z,Dong S

    更新日期:2019-02-14 00:00:00

  • Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms.

    abstract:BACKGROUND:It is possible to predict whether a tuberculosis (TB) patient will fail to respond to specific antibiotics by sequencing the genome of the infecting Mycobacterium tuberculosis (Mtb) and observing whether the pathogen carries specific mutations at drug-resistance sites. This advancement has led to the collati...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2658-z

    authors: Ngo TM,Teo YY

    更新日期:2019-02-08 00:00:00

  • GlyStruct: glycation prediction using structural properties of amino acid residues.

    abstract:BACKGROUND:Glycation is a one of the post-translational modifications (PTM) where sugar molecules and residues in protein sequences are covalently bonded. It has become one of the clinically important PTM in recent times attributed to many chronic and age related complications. Being a non-enzymatic reaction, it is a g...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2547-x

    authors: Reddy HM,Sharma A,Dehzangi A,Shigemizu D,Chandra AA,Tsunoda T

    更新日期:2019-02-04 00:00:00

  • OMeta: an ontology-based, data-driven metadata tracking system.

    abstract:BACKGROUND:The development of high-throughput sequencing and analysis has accelerated multi-omics studies of thousands of microbial species, metagenomes, and infectious disease pathogens. Omics studies are enabling genotype-phenotype association studies which identify genetic determinants of pathogen virulence and drug...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2580-9

    authors: Singh I,Kuscuoglu M,Harkins DM,Sutton G,Fouts DE,Nelson KE

    更新日期:2019-01-07 00:00:00

  • Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2561-z

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

    更新日期:2019-01-05 00:00:00

  • Image-based classification of plant genus and family for trained and untrained plant species.

    abstract:BACKGROUND:Modern plant taxonomy reflects phylogenetic relationships among taxa based on proposed morphological and genetic similarities. However, taxonomical relation is not necessarily reflected by close overall resemblance, but rather by commonality of very specific morphological characters or similarity on the mole...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2474-x

    authors: Seeland M,Rzanny M,Boho D,Wäldchen J,Mäder P

    更新日期:2019-01-03 00:00:00

  • A benchmark study of sequence alignment methods for protein clustering.

    abstract:BACKGROUND:Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment. Former benchmark studies revealed drawbacks of MSA methods on nucleo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2524-4

    authors: Wang Y,Wu H,Cai Y

    更新日期:2018-12-31 00:00:00

  • DLAD4U: deriving and prioritizing disease lists from PubMed literature.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2463-0

    authors: Shen J,Vasaikar S,Zhang B

    更新日期:2018-12-28 00:00:00

  • iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes.

    abstract:BACKGROUND:A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants and genes that confer susceptibility to mental diseases in personal gen...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2469-7

    authors: Khan A,Liu Q,Wang K

    更新日期:2018-12-28 00:00:00

  • MeDEStrand: an improved method to infer genome-wide absolute methylation levels from DNA enrichment data.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2574-7

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

    更新日期:2018-12-22 00:00:00

  • An SVM-based method for assessment of transcription factor-DNA complex models.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2538-y

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

    更新日期:2018-12-21 00:00:00

  • Protein complexes identification based on go attributed network embedding.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2555-x

    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

  • Towards a supervised classification of neocortical interneuron morphologies.

    abstract:BACKGROUND:The challenge of classifying cortical interneurons is yet to be solved. Data-driven classification into established morphological types may provide insight and practical value. RESULTS:We trained models using 217 high-quality morphologies of rat somatosensory neocortex interneurons reconstructed by a single...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2470-1

    authors: Mihaljević B,Larrañaga P,Benavides-Piccione R,Hill S,DeFelipe J,Bielza C

    更新日期:2018-12-17 00:00:00

  • Accelerating a cross-correlation score function to search modifications using a single GPU.

    abstract:BACKGROUND:A cross-correlation (XCorr) score function is one of the most popular score functions utilized to search peptide identifications in databases, and many computer programs, such as SEQUEST, Comet, and Tide, currently use this score function. Recently, the HiXCorr algorithm was developed to speed up this score ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2559-6

    authors: Kim H,Han S,Um JH,Park K

    更新日期:2018-12-12 00:00:00

  • Challenging popular tools for the annotation of genetic variations with a real case, pathogenic mutations of lysosomal alpha-galactosidase.

    abstract:BACKGROUND:Severity gradation of missense mutations is a big challenge for exome annotation. Predictors of deleteriousness that are most frequently used to filter variants found by next generation sequencing, produce qualitative predictions, but also numerical scores. It has never been tested if these scores correlate ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2416-7

    authors: Cimmaruta C,Citro V,Andreotti G,Liguori L,Cubellis MV,Hay Mele B

    更新日期:2018-11-30 00:00:00

  • Multi-omic analysis of signalling factors in inflammatory comorbidities.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2413-x

    authors: Xiao H,Bartoszek K,Lio' P

    更新日期:2018-11-30 00:00:00

  • knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable.

    abstract:BACKGROUND:Testing the dependence of two variables is one of the fundamental tasks in statistics. In this work, we developed an open-source R package (knnAUC) for detecting nonlinear dependence between one continuous variable X and one binary dependent variables Y (0 or 1). RESULTS:We addressed this problem by using k...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2427-4

    authors: Li Y,Liu X,Ma Y,Wang Y,Zhou W,Hao M,Yuan Z,Liu J,Xiong M,Shugart YY,Wang J,Jin L

    更新日期:2018-11-22 00:00:00

  • Comparing the performance of selected variant callers using synthetic data and genome segmentation.

    abstract:BACKGROUND:High-throughput sequencing has rapidly become an essential part of precision cancer medicine. But validating results obtained from analyzing and interpreting genomic data remains a rate-limiting factor. The gold standard, of course, remains manual validation by expert panels, which is not without its weaknes...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2440-7

    authors: Bian X,Zhu B,Wang M,Hu Y,Chen Q,Nguyen C,Hicks B,Meerzaman D

    更新日期:2018-11-19 00:00:00

  • hsegHMM: hidden Markov model-based allele-specific copy number alteration analysis accounting for hypersegmentation.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2412-y

    authors: Choo-Wosoba H,Albert PS,Zhu B

    更新日期:2018-11-14 00:00:00

  • Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection.

    abstract:BACKGROUND:Several studies demonstrated the feasibility of predicting bacterial antibiotic resistance phenotypes from whole-genome sequences, the prediction process usually amounting to detecting the presence of genes involved in antibiotic resistance mechanisms, or of specific mutations, previously identified from a t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2403-z

    authors: Mahé P,Tournoud M

    更新日期:2018-10-17 00:00:00

  • Predicting variant deleteriousness in non-human species: applying the CADD approach in mouse.

    abstract:BACKGROUND:Predicting the deleteriousness of observed genomic variants has taken a step forward with the introduction of the Combined Annotation Dependent Depletion (CADD) approach, which trains a classifier on the wealth of available human genomic information. This raises the question whether it can be done with less ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2337-5

    authors: Groß C,de Ridder D,Reinders M

    更新日期:2018-10-12 00:00:00

  • Accurate prediction of protein-lncRNA interactions by diffusion and HeteSim features across heterogeneous network.

    abstract:BACKGROUND:Identifying the interactions between proteins and long non-coding RNAs (lncRNAs) is of great importance to decipher the functional mechanisms of lncRNAs. However, current experimental techniques for detection of lncRNA-protein interactions are limited and inefficient. Many methods have been proposed to predi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2390-0

    authors: Deng L,Wang J,Xiao Y,Wang Z,Liu H

    更新日期:2018-10-11 00:00:00

  • XenofilteR: computational deconvolution of mouse and human reads in tumor xenograft sequence data.

    abstract:BACKGROUND:Mouse xenografts from (patient-derived) tumors (PDX) or tumor cell lines are widely used as models to study various biological and preclinical aspects of cancer. However, analyses of their RNA and DNA profiles are challenging, because they comprise reads not only from the grafted human cancer but also from t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2353-5

    authors: Kluin RJC,Kemper K,Kuilman T,de Ruiter JR,Iyer V,Forment JV,Cornelissen-Steijger P,de Rink I,Ter Brugge P,Song JY,Klarenbeek S,McDermott U,Jonkers J,Velds A,Adams DJ,Peeper DS,Krijgsman O

    更新日期:2018-10-04 00:00:00

  • Biotite: a unifying open source computational biology framework in Python.

    abstract:BACKGROUND:As molecular biology is creating an increasing amount of sequence and structure data, the multitude of software to analyze this data is also rising. Most of the programs are made for a specific task, hence the user often needs to combine multiple programs in order to reach a goal. This can make the data proc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2367-z

    authors: Kunzmann P,Hamacher K

    更新日期:2018-10-01 00:00:00

  • Efficient inference of homologs in large eukaryotic pan-proteomes.

    abstract:BACKGROUND:Identification of homologous genes is fundamental to comparative genomics, functional genomics and phylogenomics. Extensive public homology databases are of great value for investigating homology but need to be continually updated to incorporate new sequences. As new sequences are rapidly being generated, th...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2362-4

    authors: Sheikhizadeh Anari S,de Ridder D,Schranz ME,Smit S

    更新日期:2018-09-26 00:00:00

  • Progressive multiple sequence alignment with indel evolution.

    abstract:BACKGROUND:Sequence alignment is crucial in genomics studies. However, optimal multiple sequence alignment (MSA) is NP-hard. Thus, modern MSA methods employ progressive heuristics, breaking the problem into a series of pairwise alignments guided by a phylogeny. Changes between homologous characters are typically modell...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2357-1

    authors: Maiolo M,Zhang X,Gil M,Anisimova M

    更新日期:2018-09-21 00:00:00

  • Application of whole genome data for in silico evaluation of primers and probes routinely employed for the detection of viral species by RT-qPCR using dengue virus as a case study.

    abstract:BACKGROUND:Viral infection by dengue virus is a major public health problem in tropical countries. Early diagnosis and detection are increasingly based on quantitative reverse transcriptase real-time polymerase chain reaction (RT-qPCR) directed against genomic regions conserved between different isolates. Genetic varia...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2313-0

    authors: Vanneste K,Garlant L,Broeders S,Van Gucht S,Roosens NH

    更新日期:2018-09-04 00:00:00

  • PseUI: Pseudouridine sites identification based on RNA sequence information.

    abstract:BACKGROUND:Pseudouridylation is the most prevalent type of posttranscriptional modification in various stable RNAs of all organisms, which significantly affects many cellular processes that are regulated by RNA. Thus, accurate identification of pseudouridine (Ψ) sites in RNA will be of great benefit for understanding t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2321-0

    authors: He J,Fang T,Zhang Z,Huang B,Zhu X,Xiong Y

    更新日期:2018-08-29 00:00:00

  • Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture.

    abstract:BACKGROUND:Novel sequence motifs detection is becoming increasingly essential in computational biology. However, the high computational cost greatly constrains the efficiency of most motif discovery algorithms. RESULTS:In this paper, we accelerate MEME algorithm targeted on Intel Many Integrated Core (MIC) Architectur...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2276-1

    authors: Peng S,Cheng M,Huang K,Cui Y,Zhang Z,Guo R,Zhang X,Yang S,Liao X,Lu Y,Zou Q,Shi B

    更新日期:2018-08-13 00:00:00

  • Big data analysis for evaluating bioinvasion risk.

    abstract:BACKGROUND:Global maritime trade plays an important role in the modern transportation industry. It brings significant economic profit along with bioinvasion risk. Species translocate and establish in a non-native area through ballast water and biofouling. Aiming at aquatic bioinvasion issue, people proposed various sug...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2272-5

    authors: Wang S,Wang C,Wang S,Ma L

    更新日期:2018-08-13 00:00:00

  • DeepSort: deep convolutional networks for sorting haploid maize seeds.

    abstract:BACKGROUND:Maize is a leading crop in the modern agricultural industry that accounts for more than 40% grain production worldwide. THe double haploid technique that uses fewer breeding generations for generating a maize line has accelerated the pace of development of superior commercial seed varieties and has been tran...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2267-2

    authors: Veeramani B,Raymond JW,Chanda P

    更新日期:2018-08-13 00:00:00

  • De novo profile generation based on sequence context specificity with the long short-term memory network.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2284-1

    authors: Yamada KD,Kinoshita K

    更新日期:2018-07-18 00:00:00

  • Random forest versus logistic regression: a large-scale benchmark experiment.

    abstract:BACKGROUND AND GOAL:The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-friendly scientific fields. RESULTS:In this conte...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2264-5

    authors: Couronné R,Probst P,Boulesteix AL

    更新日期:2018-07-17 00:00:00

  • Effective automated pipeline for 3D reconstruction of synapses based on deep learning.

    abstract:BACKGROUND:The locations and shapes of synapses are important in reconstructing connectomes and analyzing synaptic plasticity. However, current synapse detection and segmentation methods are still not adequate for accurately acquiring the synaptic connectivity, and they cannot effectively alleviate the burden of synaps...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2232-0

    authors: Xiao C,Li W,Deng H,Chen X,Yang Y,Xie Q,Han H

    更新日期:2018-07-13 00:00:00

  • STAble: a novel approach to de novo assembly of RNA-seq data and its application in a metabolic model network based metatranscriptomic workflow.

    abstract:BACKGROUND:De novo assembly of RNA-seq data allows the study of transcriptome in absence of a reference genome either if data is obtained from a single organism or from a mixed sample as in metatranscriptomics studies. Given the high number of sequences obtained from NGS approaches, a critical step in any analysis work...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2174-6

    authors: Saggese I,Bona E,Conway M,Favero F,Ladetto M,Liò P,Manzini G,Mignone F

    更新日期:2018-07-09 00:00:00

  • A study on multi-omic oscillations in Escherichia coli metabolic networks.

    abstract:BACKGROUND:Two important challenges in the analysis of molecular biology information are data (multi-omic information) integration and the detection of patterns across large scale molecular networks and sequences. They are are actually coupled beause the integration of omic information may provide better means to detec...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2175-5

    authors: Bardozzo F,Lió P,Tagliaferri R

    更新日期:2018-07-09 00:00:00

  • INBIA: a boosting methodology for proteomic network inference.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2183-5

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

    更新日期:2018-07-09 00:00:00

  • PanACEA: a bioinformatics tool for the exploration and visualization of bacterial pan-chromosomes.

    abstract:BACKGROUND:Bacterial pan-genomes, comprised of conserved and variable genes across multiple sequenced bacterial genomes, allow for identification of genomic regions that are phylogenetically discriminating or functionally important. Pan-genomes consist of large amounts of data, which can restrict researchers ability to...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2250-y

    authors: Clarke TH,Brinkac LM,Inman JM,Sutton G,Fouts DE

    更新日期:2018-06-27 00:00:00

978 条记录 4/25 页 « 12345678...2425 »