πBUSS: a parallel BEAST/BEAGLE utility for sequence simulation under complex evolutionary scenarios.

abstract：BACKGROUND:Many readers will sympathize with the following story. You are viewing a gene sequence in Entrez, and you want to find whether it contains a particular sequence motif. You reach for the browser's "find in page" button, but those darn spaces every 10 bp get in the way. And what if the motif is on the opposite...

journal_title：BMC bioinformatics

authors： Hu Z,Frith M,Niu T,Weng Z

更新日期：2003-01-04 00:00:00

abstract：BACKGROUND:High throughput sequencing technology provides us unprecedented opportunities to study transcriptome dynamics. Compared to microarray-based gene expression profiling, RNA-Seq has many advantages, such as high resolution, low background, and ability to identify novel transcripts. Moreover, for genes with mult...

journal_title：BMC bioinformatics

authors： Zheng W,Chung LM,Zhao H

更新日期：2011-07-19 00:00:00

abstract：BACKGROUND:Numerous tools have been developed to predict the fitness effects (i.e., neutral, deleterious, or beneficial) of genetic variants on corresponding proteins. However, prediction in terms of whether a variant causes the variant bearing protein to lose the original function or gain new function is also needed f...

journal_title：BMC bioinformatics

authors： Liu M,Watson LT,Zhang L

更新日期：2015-10-30 00:00:00

abstract：BACKGROUND:Genome-wide association studies (GWAS) of single nucleotide polymorphisms (SNPs) have been successful in identifying loci contributing genetic effects to a wide range of complex human diseases and quantitative traits. The traditional approach to GWAS analysis is to consider each phenotype separately, despite...

journal_title：BMC bioinformatics

authors： Mägi R,Suleimanov YV,Clarke GM,Kaakinen M,Fischer K,Prokopenko I,Morris AP

更新日期：2017-01-11 00:00:00

abstract：BACKGROUND:Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks within the field of bioinformatics. Conventional kernels utilized so far do not provide an easy interpretation of the learnt representations i...

journal_title：BMC bioinformatics

authors： Meinicke P,Tech M,Morgenstern B,Merkl R

更新日期：2004-10-28 00:00:00

abstract：BACKGROUND:A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined with physico-chemical properties of the site since the conformation, size and chemical composition of the protein surface are all relevant for ...

journal_title：BMC bioinformatics

authors： Bertolazzi P,Guerra C,Liuzzi G

更新日期：2010-09-29 00:00:00

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

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

更新日期：2018-09-21 00:00:00

abstract：BACKGROUND:To infer gene regulatory networks from time series gene profiles, two important tasks that are related to biological systems must be undertaken. One task is to determine a valid network structure that has topological properties that can influence the network dynamics profoundly. The other task is to optimize...

journal_title：BMC bioinformatics

authors： Hsiao YT,Lee WP

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflows. The improved spectral quality enables more accurate de novo sequencing for identification of post-translational modifications and amino ac...

journal_title：BMC bioinformatics

authors： Pan C,Park BH,McDonald WH,Carey PA,Banfield JF,VerBerkmoes NC,Hettich RL,Samatova NF

更新日期：2010-03-05 00:00:00

abstract：BACKGROUND:A large effort to discover microRNAs (miRNAs) has been under way. Currently miRBase is their primary repository, providing annotations of primary sequences, precursors and probable genomic loci. In many cases miRNAs are identical or very similar between related (or in some cases more distant) species. Howeve...

journal_title：BMC bioinformatics

authors： Guerra-Assunção JA,Enright AJ

更新日期：2010-03-16 00:00:00

abstract：BACKGROUND:Contact-guided protein structure prediction methods are becoming more and more successful because of the latest advances in residue-residue contact prediction. To support contact-driven structure prediction, effective tools that can quickly build tertiary structural models of good quality from predicted cont...

journal_title：BMC bioinformatics

authors： Adhikari B,Cheng J

更新日期：2018-01-25 00:00:00

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

authors： Yu F,Xu C,Deng HW,Shen H

更新日期：2020-12-01 00:00:00

abstract：BACKGROUND:The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appea...

journal_title：BMC bioinformatics

authors： Tatusov RL,Fedorova ND,Jackson JD,Jacobs AR,Kiryutin B,Koonin EV,Krylov DM,Mazumder R,Mekhedov SL,Nikolskaya AN,Rao BS,Smirnov S,Sverdlov AV,Vasudevan S,Wolf YI,Yin JJ,Natale DA

更新日期：2003-09-11 00:00:00

abstract：BACKGROUND:We developed an extendable open-source Loop-mediated isothermal AMPlification (LAMP) signature design program called LAVA (LAMP Assay Versatile Analysis). LAVA was created in response to limitations of existing LAMP signature programs. RESULTS:LAVA identifies combinations of six primer regions for basic LAM...

journal_title：BMC bioinformatics

authors： Torres C,Vitalis EA,Baker BR,Gardner SN,Torres MW,Dzenitis JM

更新日期：2011-06-16 00:00:00

abstract：BACKGROUND:RNA sequencing has become an increasingly affordable way to profile gene expression patterns. Here we introduce a workflow implementing several open-source softwares that can be run on a high performance computing environment. RESULTS:Developed as a tool by the Bioinformatics Shared Resource Group (BISR) at...

journal_title：BMC bioinformatics

authors： Gadepalli VS,Ozer HG,Yilmaz AS,Pietrzak M,Webb A

更新日期：2019-12-20 00:00:00

abstract：BACKGROUNDS:Next-Generation Sequencing (NGS) is now widely used in biomedical research for various applications. Processing of NGS data requires multiple programs and customization of the processing pipelines according to the data platforms. However, rapid progress of the NGS applications and processing methods urgentl...

journal_title：BMC bioinformatics

authors： Joo T,Choi JH,Lee JH,Park SE,Jeon Y,Jung SH,Woo HG

更新日期：2019-02-20 00:00:00

abstract：BACKGROUND:Common existing phylogenetic tree visualisation tools are not able to display readable trees with more than a few thousand nodes. These existing methodologies are based in two dimensional space. RESULTS:We introduce the idea of visualising phylogenetic trees in three dimensional hyperbolic space with the Wa...

journal_title：BMC bioinformatics

authors： Hughes T,Hyun Y,Liberles DA

更新日期：2004-04-29 00:00:00

abstract：BACKGROUND:As whole-genome sequencing is becoming a routine technique, it is important to identify a cost-effective depth of sequencing for such studies. However, the relationship between sequencing depth and biological results from the aspects of whole-genome coverage, variant discovery power and the quality of varian...

journal_title：BMC bioinformatics

authors： Jiang Y,Jiang Y,Wang S,Zhang Q,Ding X

更新日期：2019-11-08 00:00:00

abstract：BACKGROUND:In real-time PCR data analysis, the cycle threshold (CT) method is currently the gold standard. This method is based on an assumption of equal PCR efficiency in all reactions, and precision may suffer if this condition is not met. Nonlinear regression analysis (NLR) or curve fitting has therefore been sugges...

journal_title：BMC bioinformatics

authors： Goll R,Olsen T,Cui G,Florholmen J

更新日期：2006-03-03 00:00:00

abstract：BACKGROUND:The Cancer Genome Atlas (TCGA) is a pool of molecular data sets publicly accessible and freely available to cancer researchers anywhere around the world. However, wide spread use is limited since an advanced knowledge of statistics and statistical software is required. RESULTS:In order to improve accessibil...

journal_title：BMC bioinformatics

authors： Deng M,Brägelmann J,Schultze JL,Perner S

更新日期：2016-02-06 00:00:00

abstract：BACKGROUND:With continuing identification of novel structured noncoding RNAs, there is an increasing need to create schematic diagrams showing the consensus features of these molecules. RNA structural diagrams are typically made either with general-purpose drawing programs like Adobe Illustrator, or with automated or i...

journal_title：BMC bioinformatics

authors： Weinberg Z,Breaker RR

更新日期：2011-01-04 00:00:00

abstract：BACKGROUND:The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a result, sequencing technologies have been increasingly applied to genomic research. RNA-Seq is becoming a common technique for surveying gene expression based on DNA sequencing. As it is not clear how increased sequencin...

journal_title：BMC bioinformatics

authors： Cai G,Li H,Lu Y,Huang X,Lee J,Müller P,Ji Y,Liang S

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been found in the printed literature. With journals now on-line and providing an increasing amount of open access content, often free of copyright ...

journal_title：BMC bioinformatics

authors： Prlić A,Martinez MA,Dimitropoulos D,Beran B,Yukich BT,Rose PW,Bourne PE,Fink JL

更新日期：2010-04-29 00:00:00

abstract：BACKGROUND:The recent explosion in biological and other real-world network data has created the need for improved tools for large network analyses. In addition to well established global network properties, several new mathematical techniques for analyzing local structural properties of large networks have been develop...

journal_title：BMC bioinformatics

authors： Milenković T,Lai J,Przulj N

更新日期：2008-01-30 00:00:00

abstract：BACKGROUND:Virtual screening methods start to be well established as effective approaches to identify hits, candidates and leads for drug discovery research. Among those, structure based virtual screening (SBVS) approaches aim at docking collections of small compounds in the target structure to identify potent compound...

journal_title：BMC bioinformatics

authors： Le Guilloux V,Schmidtke P,Tuffery P

更新日期：2009-06-02 00:00:00

abstract：BACKGROUND:The efficiency of lymph nodes depends on tissue structure and organization, which allow the coordination of lymphocyte traffic. Despite their essential role, our understanding of lymph node specific mechanisms is still incomplete and currently a topic of intense research. RESULTS:In this paper, we present a...

journal_title：BMC bioinformatics

authors： Baldazzi V,Paci P,Bernaschi M,Castiglione F

更新日期：2009-11-25 00:00:00

abstract：BACKGROUND:Intrinsically Disordered Proteins (IDPs) lack an ordered three-dimensional structure and are enriched in various biological processes. The Molecular Recognition Features (MoRFs) are functional regions within IDPs that undergo a disorder-to-order transition on binding to a partner protein. Identifying MoRFs i...

journal_title：BMC bioinformatics

authors： Sharma R,Kumar S,Tsunoda T,Patil A,Sharma A

更新日期：2016-12-22 00:00:00

abstract：BACKGROUND:Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets. However, its estimated loading vectors are non-sparse, which presents challenge...

journal_title：BMC bioinformatics

authors： Min EJ,Long Q

更新日期：2020-04-15 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: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

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

更新日期：2018-12-17 00:00:00