SEQprocess: a modularized and customizable pipeline framework for NGS processing in R package.

abstract：BACKGROUND:The signal peptide plays an important role in protein targeting and protein translocation in both prokaryotic and eukaryotic cells. This transient, short peptide sequence functions like a postal address on an envelope by targeting proteins for secretion or for transfer to specific organelles for further proc...

journal_title：BMC bioinformatics

authors： Choo KH,Tan TW,Ranganathan S

更新日期：2005-10-13 00:00:00

abstract：BACKGROUND:Sequence similarity searching is a very important bioinformatics task. While Basic Local Alignment Search Tool (BLAST) outperforms exact methods through its use of heuristics, the speed of the current BLAST software is suboptimal for very long queries or database sequences. There are also some shortcomings i...

journal_title：BMC bioinformatics

authors： Camacho C,Coulouris G,Avagyan V,Ma N,Papadopoulos J,Bealer K,Madden TL

更新日期：2009-12-15 00:00:00

abstract：BACKGROUND:The landscape of biological and biomedical research is being changed rapidly with the invention of microarrays which enables simultaneous view on the transcription levels of a huge number of genes across different experimental conditions or time points. Using microarray data sets, clustering algorithms have ...

journal_title：BMC bioinformatics

authors： Maulik U,Mukhopadhyay A,Bandyopadhyay S

更新日期：2009-01-20 00:00:00

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

authors： Acharya S,Cui L,Pan Y

更新日期：2020-12-30 00:00:00

abstract：BACKGROUND:The field of protein sequence analysis is dominated by tools rooted in substitution matrices and alignments. A complementary approach is provided by methods of quantitative characterization. A major advantage of the approach is that quantitative properties defines a multidimensional solution space, where seq...

journal_title：BMC bioinformatics

authors： Konopka BM,Marciniak M,Dyrka W

更新日期：2017-07-17 00:00:00

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

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

更新日期：2021-01-06 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: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: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

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

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

authors： Zengin T,Önal-Süzek T

更新日期：2020-09-30 00:00:00

abstract：BACKGROUND:Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the two main drug discovery methods for now, which have successfully discovered a series of drugs. However, development of new drugs is still an extremely...

journal_title：BMC bioinformatics

authors： Sang S,Yang Z,Wang L,Liu X,Lin H,Wang J

更新日期：2018-05-30 00:00:00

abstract：BACKGROUND:Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of prediction algorithms have been developed based on amino acid compositions or on the N-terminal characteristics (signal peptides) of proteins. Ho...

journal_title：BMC bioinformatics

authors： Sarda D,Chua GH,Li KB,Krishnan A

更新日期：2005-06-17 00:00:00

abstract：BACKGROUND:Eukaryotic whole genome sequences are accumulating at an impressive rate. Effective methods for comparing multiple whole eukaryotic genomes on a large scale are needed. Most attempted solutions involve the production of large scale alignments, and many of these require a high stringency pre-screen for putati...

journal_title：BMC bioinformatics

authors： Stuart GW,Berry MW

更新日期：2004-12-17 00:00:00

abstract：BACKGROUND:Lung adenocarcinoma is the most common type of lung cancer, with high mortality worldwide. Its occurrence and development were thoroughly studied by high-throughput expression microarray, which produced abundant data on gene expression, DNA methylation, and miRNA quantification. However, the hub genes, which...

journal_title：BMC bioinformatics

authors： Fan X,Wang Y,Tang XQ

更新日期：2019-05-01 00:00:00

abstract：BACKGROUND:Protein function in eukaryotic cells is often controlled in a cell cycle-dependent manner. Therefore, the correct assignment of cellular phenotypes to cell cycle phases is a crucial task in cell biology research. Nuclear proteins whose localization varies during the cell cycle are valuable and frequently use...

journal_title：BMC bioinformatics

authors： Schönenberger F,Deutzmann A,Ferrando-May E,Merhof D

更新日期：2015-05-29 00:00:00

abstract：BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most frequent type of sequence variation between individuals, and represent a promising tool for finding genetic determinants of complex diseases and understanding the differences in drug response. In this regard, it is of particular interest to study the effect...

journal_title：BMC bioinformatics

authors： Bauer-Mehren A,Furlong LI,Rautschka M,Sanz F

更新日期：2009-08-27 00:00:00

abstract：BACKGROUND:Recent studies in computational primary protein sequence analysis have leveraged the power of unlabeled data. For example, predictive models based on string kernels trained on sequences known to belong to particular folds or superfamilies, the so-called labeled data set, can attain significantly improved acc...

journal_title：BMC bioinformatics

authors： Kuksa P,Huang PH,Pavlovic V

更新日期：2009-04-29 00:00:00

abstract：BACKGROUND:The analysis of mass spectra suggests that the existence of derivative peaks is strongly dependent on the intensity of the primary peaks. Peak selection from tandem mass spectrum is used to filter out noise and contaminant peaks. It is widely accepted that a valid primary peak tends to have high intensity an...

journal_title：BMC bioinformatics

authors： Zhang S,Wang Y,Bu D,Zhang H,Sun S

更新日期：2011-08-17 00:00:00

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

authors： Fan X,Luo G,Huang YS

更新日期：2021-01-15 00:00:00

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

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

更新日期：2019-02-18 00:00:00

abstract：BACKGROUND:The double-cut-and-join (DCJ) is a model that is able to efficiently sort a genome into another, generalizing the typical mutations (inversions, fusions, fissions, translocations) to which genomes are subject, but allowing the existence of circular chromosomes at the intermediate steps. In the general model ...

journal_title：BMC bioinformatics

authors： da Silva PH,Machado R,Dantas S,Braga MD

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:The complexity and dynamics of microbial communities are major factors in the ecology of a system. With the NGS technique, metagenomics data provides a new way to explore microbial interactions. Lotka-Volterra models, which have been widely used to infer animal interactions in dynamic systems, have recently ...

journal_title：BMC bioinformatics

authors： Shaw GT,Pao YY,Wang D

更新日期：2016-11-25 00:00:00

abstract：BACKGROUND:Molecular signatures are sets of genes, proteins, genetic variants or other variables that can be used as markers for a particular phenotype. Reliable signature discovery methods could yield valuable insight into cell biology and mechanisms of human disease. However, it is currently not clear how to control ...

journal_title：BMC bioinformatics

authors： Nilsson R,Björkegren J,Tegnér J

更新日期：2009-01-29 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:The aberrant expression of microRNAs is closely connected to the occurrence and development of a great deal of human diseases. To study human diseases, numerous effective computational models that are valuable and meaningful have been presented by researchers. RESULTS:Here, we present a computational framew...

journal_title：BMC bioinformatics

authors： Gao Z,Wang YT,Wu QW,Ni JC,Zheng CH

更新日期：2020-02-18 00:00:00

abstract：BACKGROUND:Polychromatic flow cytometry is a popular technique that has wide usage in the medical sciences, especially for studying phenotypic properties of cells. The high-dimensionality of data generated by flow cytometry usually makes it difficult to visualize. The naive solution of simply plotting two-dimensional g...

journal_title：BMC bioinformatics

authors： Raj S,Hussain F,Husein Z,Torosdagli N,Turgut D,Deo N,Pattanaik S,Chang CJ,Jha SK

更新日期：2017-06-07 00:00:00

abstract：BACKGROUND:Microarray technology allows the analysis of genomic aberrations at an ever increasing resolution, making functional interpretation of these vast amounts of data the main bottleneck in routine implementation of high resolution array platforms, and emphasising the need for a centralised and easy to use CNV da...

journal_title：BMC bioinformatics

authors： Vandeweyer G,Reyniers E,Wuyts W,Rooms L,Kooy RF

更新日期：2011-01-05 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：BACKGROUND:Creating a scalable computational infrastructure to analyze the wealth of information contained in data repositories is difficult due to significant barriers in organizing, extracting and analyzing relevant data. Shared data science infrastructures like Boag is needed to efficiently process and parse data co...

journal_title：BMC bioinformatics

authors： Bagheri H,Muppirala U,Masonbrink RE,Severin AJ,Rajan H

更新日期：2019-08-22 00:00:00

abstract：BACKGROUND:Differential co-expression (DCX) signifies change in degree of co-expression of a set of genes among different biological conditions. It has been used to identify differential co-expression networks or interactomes. Many algorithms have been developed for single-factor differential co-expression analysis and...

journal_title：BMC bioinformatics

authors： Liany H,Rajapakse JC,Karuturi RKM

更新日期：2017-12-28 00:00:00