听力与言语-语言病理学

行为科学

医学伦理学

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  • Accucopy: accurate and fast inference of allele-specific copy number alterations from low-coverage low-purity tumor sequencing data.

    abstract:BACKGROUND:Copy number alterations (CNAs), due to their large impact on the genome, have been an important contributing factor to oncogenesis and metastasis. Detecting genomic alterations from the shallow-sequencing data of a low-purity tumor sample remains a challenging task. RESULTS:We introduce Accucopy, a method t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03924-5

    authors: Fan X,Luo G,Huang YS

    更新日期:2021-01-15 00:00:00

  • HapSolo: an optimization approach for removing secondary haplotigs during diploid genome assembly and scaffolding.

    abstract:BACKGROUND:Despite marked recent improvements in long-read sequencing technology, the assembly of diploid genomes remains a difficult task. A major obstacle is distinguishing between alternative contigs that represent highly heterozygous regions. If primary and secondary contigs are not properly identified, the primary...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03939-y

    authors: Solares EA,Tao Y,Long AD,Gaut BS

    更新日期:2021-01-06 00:00:00

  • Multi-view feature selection for identifying gene markers: a diversified biological data driven approach.

    abstract:BACKGROUND:In recent years, to investigate challenging bioinformatics problems, the utilization of multiple genomic and proteomic sources has become immensely popular among researchers. One such issue is feature or gene selection and identifying relevant and non-redundant marker genes from high dimensional gene express...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03810-0

    authors: Acharya S,Cui L,Pan Y

    更新日期:2020-12-30 00:00:00

  • Menoci: lightweight extensible web portal enhancing data management for biomedical research projects.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03928-1

    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

  • Combining sequence and network information to enhance protein-protein interaction prediction.

    abstract:BACKGROUND:Protein-protein interactions (PPIs) are of great importance in cellular systems of organisms, since they are the basis of cellular structure and function and many essential cellular processes are related to that. Most proteins perform their functions by interacting with other proteins, so predicting PPIs acc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03896-6

    authors: Liu L,Zhu X,Ma Y,Piao H,Yang Y,Hao X,Fu Y,Wang L,Peng J

    更新日期:2020-12-16 00:00:00

  • Identification of CD8+ T cell epitopes through proteasome cleavage site predictions.

    abstract:BACKGROUND:We previously introduced PCPS (Proteasome Cleavage Prediction Server), a web-based tool to predict proteasome cleavage sites using n-grams. Here, we evaluated the ability of PCPS immunoproteasome cleavage model to discriminate CD8+ T cell epitopes. RESULTS:We first assembled an epitope dataset consisting of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03782-1

    authors: Gomez-Perosanz M,Ras-Carmona A,Lafuente EM,Reche PA

    更新日期:2020-12-14 00:00:00

  • Linear space string correction algorithm using the Damerau-Levenshtein distance.

    abstract:BACKGROUND:The Damerau-Levenshtein (DL) distance metric has been widely used in the biological science. It tries to identify the similar region of DNA,RNA and protein sequences by transforming one sequence to the another using the substitution, insertion, deletion and transposition operations. Lowrance and Wagner have ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3184-8

    authors: Zhao C,Sahni S

    更新日期:2020-12-09 00:00:00

  • Identification of novel alternative splicing biomarkers for breast cancer with LC/MS/MS and RNA-Seq.

    abstract:BACKGROUND:Alternative splicing isoforms have been reported as a new and robust class of diagnostic biomarkers. Over 95% of human genes are estimated to be alternatively spliced as a powerful means of producing functionally diverse proteins from a single gene. The emergence of next-generation sequencing technologies, e...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03824-8

    authors: Zhang F,Deng CK,Wang M,Deng B,Barber R,Huang G

    更新日期:2020-12-03 00:00:00

  • A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs.

    abstract:BACKGROUND:Accumulating evidence has demonstrated that long non-coding RNAs (lncRNAs) are closely associated with human diseases, and it is useful for the diagnosis and treatment of diseases to get the relationships between lncRNAs and diseases. Due to the high costs and time complexity of traditional bio-experiments, ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03906-7

    authors: Xiao Y,Xiao Z,Feng X,Chen Z,Kuang L,Wang L

    更新日期:2020-12-02 00:00:00

  • A novel computational strategy for DNA methylation imputation using mixture regression model (MRM).

    abstract:BACKGROUND:DNA methylation is an important heritable epigenetic mark that plays a crucial role in transcriptional regulation and the pathogenesis of various human disorders. The commonly used DNA methylation measurement approaches, e.g., Illumina Infinium HumanMethylation-27 and -450 BeadChip arrays (27 K and 450 K arr...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03865-z

    authors: Yu F,Xu C,Deng HW,Shen H

    更新日期:2020-12-01 00:00:00

  • Markov chain Monte Carlo for active module identification problem.

    abstract:BACKGROUND:Integrative network methods are commonly used for interpretation of high-throughput experimental biological data: transcriptomics, proteomics, metabolomics and others. One of the common approaches is finding a connected subnetwork of a global interaction network that best encompasses significant individual c...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03572-9

    authors: Alexeev N,Isomurodov J,Sukhov V,Korotkevich G,Sergushichev A

    更新日期:2020-11-18 00:00:00

  • A computational diffusion model to study antibody transport within reconstructed tumor microenvironments.

    abstract:BACKGROUND:Antibodies revolutionized cancer treatment over the past decades. Despite their successfully application, there are still challenges to overcome to improve efficacy, such as the heterogeneous distribution of antibodies within tumors. Tumor microenvironment features, such as the distribution of tumor and othe...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03854-2

    authors: Cartaxo AL,Almeida J,Gualda EJ,Marsal M,Loza-Alvarez P,Brito C,Isidro IA

    更新日期:2020-11-17 00:00:00

  • Novel domain expansion methods to improve the computational efficiency of the Chemical Master Equation solution for large biological networks.

    abstract:BACKGROUND:Numerical solutions of the chemical master equation (CME) are important for understanding the stochasticity of biochemical systems. However, solving CMEs is a formidable task. This task is complicated due to the nonlinear nature of the reactions and the size of the networks which result in different realizat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03668-2

    authors: Kosarwal R,Kulasiri D,Samarasinghe S

    更新日期:2020-11-11 00:00:00

  • DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03809-7

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

    更新日期:2020-11-09 00:00:00

  • SAlign-a structure aware method for global PPI network alignment.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03827-5

    authors: Ayub U,Haider I,Naveed H

    更新日期:2020-11-04 00:00:00

  • CDKAM: a taxonomic classification tool using discriminative k-mers and approximate matching strategies.

    abstract:BACKGROUND:Current taxonomic classification tools use exact string matching algorithms that are effective to tackle the data from the next generation sequencing technology. However, the unique error patterns in the third generation sequencing (TGS) technologies could reduce the accuracy of these programs. RESULTS:We d...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03777-y

    authors: Bui VK,Wei C

    更新日期:2020-10-20 00:00:00

  • REW-ISA: unveiling local functional blocks in epi-transcriptome profiling data via an RNA expression-weighted iterative signature algorithm.

    abstract:BACKGROUND:Recent studies have shown that N6-methyladenosine (m6A) plays a critical role in numbers of biological processes and complex human diseases. However, the regulatory mechanisms of most methylation sites remain uncharted. Thus, in-depth study of the epi-transcriptomic patterns of m6A may provide insights into ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03787-w

    authors: Zhang L,Chen S,Zhu J,Meng J,Liu H

    更新日期:2020-10-09 00:00:00

  • Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma.

    abstract:BACKGROUND:Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. In order to understand the molecular basis of lung adenocarcinoma, integrative analysis have been performed by using genomics, transcriptomics, epigenomics, proteomics an...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03691-3

    authors: Zengin T,Önal-Süzek T

    更新日期:2020-09-30 00:00:00

  • Leveraging TCGA gene expression data to build predictive models for cancer drug response.

    abstract:BACKGROUND:Machine learning has been utilized to predict cancer drug response from multi-omics data generated from sensitivities of cancer cell lines to different therapeutic compounds. Here, we build machine learning models using gene expression data from patients' primary tumor tissues to predict whether a patient wi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03690-4

    authors: Clayton EA,Pujol TA,McDonald JF,Qiu P

    更新日期:2020-09-30 00:00:00

  • Application of the common base method to regression and analysis of covariance (ANCOVA) in qPCR experiments and subsequent relative expression calculation.

    abstract:BACKGROUND:Quantitative polymerase chain reaction (qPCR) is the technique of choice for quantifying gene expression. While the technique itself is well established, approaches for the analysis of qPCR data continue to improve. RESULTS:Here we expand on the common base method to develop procedures for testing linear re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03696-y

    authors: Ganger MT,Dietz GD,Headley P,Ewing SJ

    更新日期:2020-09-29 00:00:00

  • A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method.

    abstract:BACKGROUND:Positron Emission Tomography (PET) is increasingly utilized in radiomics studies for treatment evaluation purposes. Nevertheless, lesion volume identification in PET images is a critical and still challenging step in the process of radiomics, due to the low spatial resolution and high noise level of PET imag...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03647-7

    authors: Stefano A,Comelli A,Bravatà V,Barone S,Daskalovski I,Savoca G,Sabini MG,Ippolito M,Russo G

    更新日期:2020-09-16 00:00:00

  • A computational framework for modeling and studying pertussis epidemiology and vaccination.

    abstract:BACKGROUND:Emerging and re-emerging infectious diseases such as Zika, SARS, ncovid19 and Pertussis, pose a compelling challenge for epidemiologists due to their significant impact on global public health. In this context, computational models and computer simulations are one of the available research tools that epidemi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03648-6

    authors: Castagno P,Pernice S,Ghetti G,Povero M,Pradelli L,Paolotti D,Balbo G,Sereno M,Beccuti M

    更新日期:2020-09-16 00:00:00

  • Accurate determination of node and arc multiplicities in de bruijn graphs using conditional random fields.

    abstract:BACKGROUND:De Bruijn graphs are key data structures for the analysis of next-generation sequencing data. They efficiently represent the overlap between reads and hence, also the underlying genome sequence. However, sequencing errors and repeated subsequences render the identification of the true underlying sequence dif...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03740-x

    authors: Steyaert A,Audenaert P,Fostier J

    更新日期:2020-09-14 00:00:00

  • A novel approach for predicting protein S-glutathionylation.

    abstract:BACKGROUND:S-glutathionylation is the formation of disulfide bonds between the tripeptide glutathione and cysteine residues of the protein, protecting them from irreversible oxidation and in some cases causing change in their functions. Regulatory glutathionylation of proteins is a controllable and reversible process a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03571-w

    authors: Anashkina AA,Poluektov YM,Dmitriev VA,Kuznetsov EN,Mitkevich VA,Makarov AA,Petrushanko IY

    更新日期:2020-09-14 00:00:00

  • LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting.

    abstract:BACKGROUND:A large number of experimental studies show that the mutation and regulation of long non-coding RNAs (lncRNAs) are associated with various human diseases. Accurate prediction of lncRNA-disease associations can provide a new perspective for the diagnosis and treatment of diseases. The main function of many ln...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03721-0

    authors: Zhang Y,Ye F,Xiong D,Gao X

    更新日期:2020-09-03 00:00:00

  • "METAGENOTE: a simplified web platform for metadata annotation of genomic samples and streamlined submission to NCBI's sequence read archive".

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03694-0

    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

  • OscoNet: inferring oscillatory gene networks.

    abstract:BACKGROUND:Oscillatory genes, with periodic expression at the mRNA and/or protein level, have been shown to play a pivotal role in many biological contexts. However, with the exception of the circadian clock and cell cycle, only a few such genes are known. Detecting oscillatory genes from snapshot single-cell experimen...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03561-y

    authors: Cutillo L,Boukouvalas A,Marinopoulou E,Papalopulu N,Rattray M

    更新日期:2020-08-21 00:00:00

  • Clustering analysis of tumor metabolic networks.

    abstract:BACKGROUND:Biological networks are representative of the diverse molecular interactions that occur within cells. Some of the commonly studied biological networks are modeled through protein-protein interactions, gene regulatory, and metabolic pathways. Among these, metabolic networks are probably the most studied, as t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03564-9

    authors: Manipur I,Granata I,Maddalena L,Guarracino MR

    更新日期:2020-08-21 00:00:00

  • ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network.

    abstract:BACKGROUND:While technological advances have made it possible to profile the immune system at high resolution, translating high-throughput data into knowledge of immune mechanisms has been challenged by the complexity of the interactions underlying immune processes. Tools to explore the immune network are critical for ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03702-3

    authors: Atallah MB,Tandon V,Hiam KJ,Boyce H,Hori M,Atallah W,Spitzer MH,Engleman E,Mallick P

    更新日期:2020-08-10 00:00:00

  • Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets.

    abstract:BACKGROUND:The efficient and robust statistical analysis of the shape of plant organs of different cultivars is an important investigation issue in plant breeding and enables a robust cultivar description within the breeding progress. Laserscanning is a highly accurate and high resolution technique to acquire the 3D sh...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03654-8

    authors: Heeren B,Paulus S,Goldbach H,Kuhlmann H,Mahlein AK,Rumpf M,Wirth B

    更新日期:2020-07-29 00:00:00

  • Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets.

    abstract:BACKGROUND:Shotgun metagenomics based on untargeted sequencing can explore the taxonomic profile and the function of unknown microorganisms in samples, and complement the shortage of amplicon sequencing. Binning assembled sequences into individual groups, which represent microbial genomes, is the key step and a major c...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03667-3

    authors: Yue Y,Huang H,Qi Z,Dou HM,Liu XY,Han TF,Chen Y,Song XJ,Zhang YH,Tu J

    更新日期:2020-07-28 00:00:00

  • Amino acid sequence associated with bacteriophage recombination site helps to reveal genes potentially acquired through horizontal gene transfer.

    abstract:BACKGROUND:Horizontal gene transfer, i.e. the acquisition of genetic material from nonparent organism, is considered an important force driving species evolution. Many cases of horizontal gene transfer from prokaryotes to eukaryotes have been registered, but no transfer mechanism has been deciphered so far, although vi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03599-y

    authors: Daugavet MA,Shabelnikov SV,Podgornaya OI

    更新日期:2020-07-24 00:00:00

  • imputeqc: an R package for assessing imputation quality of genotypes and optimizing imputation parameters.

    abstract:BACKGROUND:The imputation of genotypes increases the power of genome-wide association studies. However, the imputation quality should be assessed in each particular case. Nevertheless, not all imputation softwares control the error of output, e.g., the last release of fastPHASE program (1.4.8) lacks such an option. In ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03589-0

    authors: Khvorykh GV,Khrunin AV

    更新日期:2020-07-24 00:00:00

  • BiPOm: a rule-based ontology to represent and infer molecule knowledge from a biological process-centered viewpoint.

    abstract:BACKGROUND:Managing and organizing biological knowledge remains a major challenge, due to the complexity of living systems. Recently, systemic representations have been promising in tackling such a challenge at the whole-cell scale. In such representations, the cell is considered as a system composed of interlocked sub...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03637-9

    authors: Henry V,Saïs F,Inizan O,Marchadier E,Dibie J,Goelzer A,Fromion V

    更新日期:2020-07-23 00:00:00

  • Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.

    abstract:BACKGROUND:Protein-protein interactions (PPIs) are central to many biological processes. Considering that the experimental methods for identifying PPIs are time-consuming and expensive, it is important to develop automated computational methods to better predict PPIs. Various machine learning methods have been proposed...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03646-8

    authors: Yang F,Fan K,Song D,Lin H

    更新日期:2020-07-21 00:00:00

  • PFBNet: a priori-fused boosting method for gene regulatory network inference.

    abstract:BACKGROUND:Inferring gene regulatory networks (GRNs) from gene expression data remains a challenge in system biology. In past decade, numerous methods have been developed for the inference of GRNs. It remains a challenge due to the fact that the data is noisy and high dimensional, and there exists a large number of pot...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03639-7

    authors: Che D,Guo S,Jiang Q,Chen L

    更新日期:2020-07-14 00:00:00

  • Critique of the pairwise method for estimating qPCR amplification efficiency: beware of correlated data!

    abstract:BACKGROUND:A recently proposed method for estimating qPCR amplification efficiency E analyzes fluorescence intensity ratios from pairs of points deemed to lie in the exponential growth region on the amplification curves for all reactions in a dilution series. This method suffers from a serious problem: The resulting ra...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03604-4

    authors: Tellinghuisen J

    更新日期:2020-07-08 00:00:00

  • Drug-target interaction prediction using semi-bipartite graph model and deep learning.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3518-6

    authors: Eslami Manoochehri H,Nourani M

    更新日期:2020-07-06 00:00:00

  • Prediction of heart disease and classifiers' sensitivity analysis.

    abstract:BACKGROUND:Heart disease (HD) is one of the most common diseases nowadays, and an early diagnosis of such a disease is a crucial task for many health care providers to prevent their patients for such a disease and to save lives. In this paper, a comparative analysis of different classifiers was performed for the classi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03626-y

    authors: Almustafa KM

    更新日期:2020-07-02 00:00:00

  • NASQAR: a web-based platform for high-throughput sequencing data analysis and visualization.

    abstract:BACKGROUND:As high-throughput sequencing applications continue to evolve, the rapid growth in quantity and variety of sequence-based data calls for the development of new software libraries and tools for data analysis and visualization. Often, effective use of these tools requires computational skills beyond those of m...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03577-4

    authors: Yousif A,Drou N,Rowe J,Khalfan M,Gunsalus KC

    更新日期:2020-06-29 00:00:00

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