NPBSS: a new PacBio sequencing simulator for generating the continuous long reads with an empirical model.

abstract：BACKGROUND:Multidimensional protein identification technology (MudPIT)-based shot-gun proteomics has been proven to be an effective platform for functional proteomics. In particular, the various sample preparation methods and bioinformatics tools can be integrated to improve the proteomics platform for applications lik...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu S,Dai SY,Yuan JS

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:RNA-seq is a powerful tool for measuring transcriptomes, especially for identifying differentially expressed genes or transcripts (DEGs) between sample groups. A number of methods have been developed for this task, and several evaluation studies have also been reported. However, those evaluations so far have...

journal_title：BMC bioinformatics

authors： Tang M,Sun J,Shimizu K,Kadota K

更新日期：2015-11-04 00:00:00

abstract：BACKGROUND:miRNAs regulate the expression of several genes with one miRNA able to target multiple genes and with one gene able to be simultaneously targeted by more than one miRNA. Therefore, it has become indispensable to shorten the long list of miRNA-target interactions to put in the spotlight in order to gain insig...

journal_title：BMC bioinformatics

authors： Licursi V,Conte F,Fiscon G,Paci P

更新日期：2019-11-04 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:Deep shotgun sequencing on next generation sequencing (NGS) platforms has contributed significant amounts of data to enrich our understanding of genomes, transcriptomes, amplified single-cell genomes, and metagenomes. However, deep coverage variations in short-read data sets and high sequencing error rates o...

journal_title：BMC bioinformatics

authors： McCorrison JM,Venepally P,Singh I,Fouts DE,Lasken RS,Methé BA

更新日期：2014-11-19 00:00:00

abstract：BACKGROUND:High-throughput Next-Generation Sequencing (NGS) techniques are advancing genomics and molecular biology research. This technology generates substantially large data which puts up a major challenge to the scientists for an efficient, cost and time effective solution to analyse such data. Further, for the dif...

journal_title：BMC bioinformatics

authors： Maji RK,Sarkar A,Khatua S,Dasgupta S,Ghosh Z

更新日期：2014-06-04 00:00:00

abstract：BACKGROUND:Protein remote homology detection is one of the central problems in bioinformatics, which is important for both basic research and practical application. Currently, discriminative methods based on Support Vector Machines (SVMs) achieve the state-of-the-art performance. Exploring feature vectors incorporating...

journal_title：BMC bioinformatics

authors： Liu B,Xu J,Zou Q,Xu R,Wang X,Chen Q

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:In microarray data analysis, factors such as data quality, biological variation, and the increasingly multi-layered nature of more complex biological systems complicates the modelling of regulatory networks that can represent and capture the interactions among genes. We believe that the use of multiple datas...

journal_title：BMC bioinformatics

authors： Anvar SY,'t Hoen PA,Tucker A

更新日期：2010-01-15 00:00:00

abstract：BACKGROUND:Many centrality measures have been proposed to mine and characterize the correlations between network topological properties and protein essentiality. However, most of them show limited prediction accuracy, and the number of common predicted essential proteins by different methods is very small. RESULTS:In ...

journal_title：BMC bioinformatics

authors： Zhang X,Xiao W,Acencio ML,Lemke N,Wang X

更新日期：2016-08-25 00:00:00

abstract：BACKGROUND:Detection of genomic DNA copy number variations (CNVs) can provide a complete and more comprehensive view of human disease. It is interesting to identify and represent relevant CNVs from a genome-wide data due to high data volume and the complexity of interactions. RESULTS:In this paper, we incorporate the ...

journal_title：BMC bioinformatics

authors： Liu Y,Lee YF,Ng MK

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:Cancer progression is caused by the sequential accumulation of mutations, but not all orders of accumulation are equally likely. When the fixation of some mutations depends on the presence of previous ones, identifying restrictions in the order of accumulation of mutations can lead to the discovery of therap...

journal_title：BMC bioinformatics

authors： Diaz-Uriarte R

更新日期：2015-02-12 00:00:00

abstract：BACKGROUND:The Acel_2062 protein from Acidothermus cellulolyticus is a protein of unknown function. Initial sequence analysis predicted that it was a metallopeptidase from the presence of a motif conserved amongst the Asp-zincins, which are peptidases that contain a single, catalytic zinc ion ligated by the histidines ...

journal_title：BMC bioinformatics

authors： Trame CB,Chang Y,Axelrod HL,Eberhardt RY,Coggill P,Punta M,Rawlings ND

更新日期：2014-01-03 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:The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising tens of thousands of sequences. In such studies, sequence annotations frequently play an essential role, and reliable results depend on metadata...

journal_title：BMC bioinformatics

authors： Miotto O,Tan TW,Brusic V

更新日期：2008-01-01 00:00:00

abstract：BACKGROUND:Coalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulations resemble the process of molecular evolution as much as possible. To date, no single coalescent program is able to simulate codon sequences s...

journal_title：BMC bioinformatics

authors： Arenas M,Posada D

更新日期：2007-11-20 00:00:00

abstract：BACKGROUND:Bistability and ability to switch between two stable states is the hallmark of cellular responses. Cellular signaling pathways often contain bistable switches that regulate the transmission of the extracellular information to the nucleus where important biological functions are executed. RESULTS:In this wor...

journal_title：BMC bioinformatics

authors： Arkun Y

更新日期：2019-11-28 00:00:00

abstract：BACKGROUND:Prioritizing genes according to their associations with a cancer allows researchers to explore genes in more informed ways. By far, Gene-centric or network-centric gene prioritization methods are predominated. Genes and their protein products carry out cellular processes in the context of functional modules....

journal_title：BMC bioinformatics

authors： Su L,Liu G,Bai T,Meng X,Ma Q

更新日期：2018-06-05 00:00:00

abstract：BACKGROUND:The family of voltage-gated potassium channels comprises a functionally diverse group of membrane proteins. They help maintain and regulate the potassium ion-based component of the membrane potential and are thus central to many critical physiological processes. VKCDB (Voltage-gated potassium [K] Channel Dat...

journal_title：BMC bioinformatics

authors： Li B,Gallin WJ

更新日期：2004-01-09 00:00:00

abstract：BACKGROUND:Over the last few years transcriptome sequencing (RNA-Seq) has almost completely taken over microarrays for high-throughput studies of gene expression. Currently, the most popular use of RNA-Seq is to identify genes which are differentially expressed between two or more conditions. Despite the importance of ...

journal_title：BMC bioinformatics

authors： Rahmatallah Y,Emmert-Streib F,Glazko G

更新日期：2014-12-05 00:00:00

abstract：BACKGROUND:A number of software packages are available to generate DNA multiple sequence alignments (MSAs) evolved under continuous-time Markov processes on phylogenetic trees. On the other hand, methods of simulating the DNA MSA directly from the transition matrices do not exist. Moreover, existing software restricts ...

journal_title：BMC bioinformatics

authors： Kedzierska AM,Casanellas M

更新日期：2012-08-28 00:00:00

abstract：BACKGROUND:Text mining tools have gained popularity to process the vast amount of available research articles in the biomedical literature. It is crucial that such tools extract information with a sufficient level of detail to be applicable in real life scenarios. Studies of mining non-causal molecular relations attrib...

journal_title：BMC bioinformatics

authors： Van Landeghem S,Björne J,Abeel T,De Baets B,Salakoski T,Van de Peer Y

更新日期：2012-06-26 00:00:00

abstract：BACKGROUND:A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published networ...

journal_title：BMC bioinformatics

authors： Macpherson JI,Pinney JW,Robertson DL

更新日期：2009-03-26 00:00:00

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

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

abstract：BACKGROUND:Biological sequences play a major role in molecular and computational biology. They are studied as information-bearing entities that make up DNA, RNA or proteins. The Sequence Ontology, which is part of the OBO Foundry, contains descriptions and definitions of sequences and their properties. Yet the most bas...

journal_title：BMC bioinformatics

authors： Hoehndorf R,Kelso J,Herre H

更新日期：2009-11-18 00:00:00

abstract：BACKGROUND:Analysis of expression quantitative trait loci (eQTL) aims to identify the genetic loci associated with the expression level of genes. Penalized regression with a proper penalty is suitable for the high-dimensional biological data. Its performance should be enhanced when we incorporate biological knowledge o...

journal_title：BMC bioinformatics

authors： Wang W,Zhang X

更新日期：2011-06-30 00:00:00

abstract：BACKGROUND:Recently copy number variation (CNV) has gained considerable interest as a type of genomic/genetic variation that plays an important role in disease susceptibility. Advances in sequencing technology have created an opportunity for detecting CNVs more accurately. Recently whole exome sequencing (WES) has beco...

journal_title：BMC bioinformatics

authors： Zare F,Dow M,Monteleone N,Hosny A,Nabavi S

更新日期：2017-05-31 00:00:00

abstract：BACKGROUND:The advent of array-based genome-wide DNA methylation methods has enabled quantitative measurement of single CpG methylation status at relatively low cost and sample input. Whereas the use of Infinium Human Methylation BeadChips has shown great utility in clinical studies, no equivalent tool is available for...

journal_title：BMC bioinformatics

authors： Needhamsen M,Ewing E,Lund H,Gomez-Cabrero D,Harris RA,Kular L,Jagodic M

更新日期：2017-11-15 00:00:00

abstract：BACKGROUND:Current development of sequencing technologies is towards generating longer and noisier reads. Evidently, accurate alignment of these reads play an important role in any downstream analysis. Similarly, reducing the overall cost of sequencing is related to the time consumption of the aligner. The tradeoff bet...

journal_title：BMC bioinformatics

authors： Nashta-Ali D,Aliyari A,Ahmadian Moghadam A,Edrisi MA,Motahari SA,Hossein Khalaj B

更新日期：2017-02-23 00:00:00

abstract：BACKGROUND:To understand biology and differences among various tissues or cell types, one typically searches for molecular features that display characteristic abundance patterns. Several specificity metrics have been introduced to identify tissue-specific molecular features, but these either require an equal number of...

journal_title：BMC bioinformatics

authors： Everaert C,Volders PJ,Morlion A,Thas O,Mestdagh P

更新日期：2020-02-17 00:00:00

abstract：BACKGROUND:We introduce a novel method, called PuFFIN, that takes advantage of paired-end short reads to build genome-wide nucleosome maps with larger numbers of detected nucleosomes and higher accuracy than existing tools. In contrast to other approaches that require users to optimize several parameters according to t...

journal_title：BMC bioinformatics

authors： Polishko A,Bunnik EM,Le Roch KG,Lonardi S

更新日期：2014-01-01 00:00:00