Evaluating eukaryotic secreted protein prediction.

abstract：BACKGROUND:Knowing the subcellular location of proteins provides clues to their function as well as the interconnectivity of biological processes. Dozens of tools are available for predicting protein location in the eukaryotic cell. Each tool performs well on certain data sets, but their predictions often disagree for ...

journal_title：BMC bioinformatics

authors： Shen YQ,Burger G

更新日期：2007-10-29 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: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:Non-linearities in observed log-ratios of gene expressions, also known as intensity dependent log-ratios, can often be accounted for by global biases in the two channels being compared. Any step in a microarray process may introduce such offsets and in this article we study the biases introduced by the micro...

journal_title：BMC bioinformatics

authors： Bengtsson H,Jönsson G,Vallon-Christersson J

更新日期：2004-11-12 00:00:00

abstract：BACKGROUND:High throughput DNA/RNA sequencing has revolutionized biological and clinical research. Sequencing is widely used, and generates very large amounts of data, mainly due to reduced cost and advanced technologies. Quickly assessing the quality of giga-to-tera base levels of sequencing data has become a routine ...

journal_title：BMC bioinformatics

authors： Chanumolu SK,Albahrani M,Otu HH

更新日期：2019-08-15 00:00:00

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

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

更新日期：2019-01-07 00:00:00

abstract：BACKGROUND:Quadruplexes are specific structure motifs occurring, e.g., in telomeres and transcriptional regulatory regions. Recent discoveries confirmed their importance in biomedicine and led to an intensified examination of their properties. So far, the study of these motifs has focused mainly on the sequence and the...

journal_title：BMC bioinformatics

authors： Zok T,Popenda M,Szachniuk M

更新日期：2020-01-31 00:00:00

abstract：BACKGROUND:The methodologies we use both enable and help define our research. However, as experimental complexity has increased the choice of appropriate methodologies has become an increasingly difficult task. This makes it difficult to keep track of available bioinformatics software, let alone the most suitable proto...

journal_title：BMC bioinformatics

authors： Eales JM,Pinney JW,Stevens RD,Robertson DL

更新日期：2008-09-01 00:00:00

abstract：BACKGROUND:The wide use of high-throughput DNA microarray technology provide an increasingly detailed view of human transcriptome from hundreds to thousands of genes. Although biomedical researchers typically design microarray experiments to explore specific biological contexts, the relationships between genes are hard...

journal_title：BMC bioinformatics

authors： Kong W,Mou X,Hu X

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:Discovering causal genetic variants from large genetic association studies poses many difficult challenges. Assessing which genetic markers are involved in determining trait status is a computationally demanding task, especially in the presence of gene-gene interactions. RESULTS:A non-parametric Bayesian ap...

journal_title：BMC bioinformatics

authors： Beam AL,Motsinger-Reif A,Doyle J

更新日期：2014-11-21 00:00:00

abstract：BACKGROUND:Cellular functions are coordinately carried out by groups of genes forming functional modules. Identifying such modules in the transcriptional regulatory network (TRN) of organisms is important for understanding the structure and function of these fundamental cellular networks and essential for the emerging ...

journal_title：BMC bioinformatics

authors： Ma HW,Buer J,Zeng AP

更新日期：2004-12-16 00:00:00

abstract：BACKGROUND:The distance matrix computed from multiple alignments of homologous sequences is widely used by distance-based phylogenetic methods to provide information on the evolution of protein families. This matrix can also be visualized in a low dimensional space by metric multidimensional scaling (MDS). Applied to p...

journal_title：BMC bioinformatics

authors： Pelé J,Bécu JM,Abdi H,Chabbert M

更新日期：2012-06-15 00:00:00

abstract：BACKGROUND:The toxic effects of many simple organic compounds stem from their biotransformation to chemically reactive metabolites which bind covalently to cellular proteins. To understand the mechanisms of cytotoxic responses it may be important to know which proteins become adducted and whether some may be common tar...

journal_title：BMC bioinformatics

authors： Hanzlik RP,Koen YM,Theertham B,Dong Y,Fang J

更新日期：2007-03-16 00:00:00

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

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

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

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

更新日期：2020-12-14 00:00:00

abstract：BACKGROUND:Compound Heterozygosity (CH) in classical genetics is the presence of two different recessive mutations at a particular gene locus. A relaxed form of CH alleles may account for an essential proportion of the missing heritability, i.e. heritability of phenotypes so far not accounted for by single genetic vari...

journal_title：BMC bioinformatics

authors： Zhong K,Karssen LC,Kayser M,Liu F

更新日期：2016-04-08 00:00:00

abstract：BACKGROUND:Journal articles and databases are two major modes of communication in the biological sciences, and thus integrating these critical resources is of urgent importance to increase the pace of discovery. Projects focused on bridging the gap between journals and databases have been on the rise over the last five...

journal_title：BMC bioinformatics

authors： Rangarajan A,Schedl T,Yook K,Chan J,Haenel S,Otis L,Faelten S,DePellegrin-Connelly T,Isaacson R,Skrzypek MS,Marygold SJ,Stefancsik R,Cherry JM,Sternberg PW,Müller HM

更新日期：2011-05-19 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:The Protein Ontology (PRO) is designed as a formal and principled Open Biomedical Ontologies (OBO) Foundry ontology for proteins. The components of PRO extend from a classification of proteins on the basis of evolutionary relationships at the homeomorphic level to the representation of the multiple protein f...

journal_title：BMC bioinformatics

authors： Arighi CN,Liu H,Natale DA,Barker WC,Drabkin H,Blake JA,Smith B,Wu CH

更新日期：2009-05-06 00:00:00

abstract：BACKGROUND:Sequence comparison is one of the most prominent tools in biological research, and is instrumental in studying gene function and evolution. The rapid development of high-throughput technologies for measuring protein interactions calls for extending this fundamental operation to the level of pathways in prote...

journal_title：BMC bioinformatics

authors： Shlomi T,Segal D,Ruppin E,Sharan R

更新日期：2006-04-10 00:00:00

abstract：BACKGROUND:Adapter trimming is a prerequisite step for analyzing next-generation sequencing (NGS) data when the reads are longer than the target DNA/RNA fragments. Although typically used in small RNA sequencing, adapter trimming is also used widely in other applications, such as genome DNA sequencing and transcriptome...

journal_title：BMC bioinformatics

authors： Jiang H,Lei R,Ding SW,Zhu S

更新日期：2014-06-12 00:00:00

abstract：BACKGROUND:The creation of a complete genome-wide map of transcription factor binding sites is essential for understanding gene regulatory networks in vivo. However, current prediction methods generally rely on statistical models that imperfectly model transcription factor binding. Generation of new prediction methods ...

journal_title：BMC bioinformatics

authors： Hill JT,Anderson KR,Mastracci TL,Kaestner KH,Sussel L

更新日期：2011-02-25 00:00:00

abstract：BACKGROUND:Gene expression measurements from breast cancer (BrCa) tumors are established clinical predictive tools to identify tumor subtypes, identify patients showing poor/good prognosis, and identify patients likely to have disease recurrence. However, diverse breast cancer datasets in conjunction with diagnostic cl...

journal_title：BMC bioinformatics

authors： Smith DD,Saetrom P,Snøve O Jr,Lundberg C,Rivas GE,Glackin C,Larson GP

更新日期：2008-01-28 00:00:00

abstract：BACKGROUND:Numerous models for use in interpreting quantitative PCR (qPCR) data are present in recent literature. The most commonly used models assume the amplification in qPCR is exponential and fit an exponential model with a constant rate of increase to a select part of the curve. Kinetic theory may be used to model...

journal_title：BMC bioinformatics

authors： Cobbs G

更新日期：2012-08-16 00:00:00

abstract：BACKGROUND:Low diversity of the gut microbiome, often progressing to the point of intestinal domination by a single species, has been linked to poor outcomes in patients undergoing hematopoietic cell transplantation (HCT). Our ability to understand how certain organisms attain intestinal domination over others has been...

journal_title：BMC bioinformatics

authors： Kang JB,Siranosian BA,Moss EL,Banaei N,Andermann TM,Bhatt AS

更新日期：2019-12-02 00:00:00

abstract：BACKGROUND:An important application of high dimensional gene expression measurements is the risk prediction and the interpretation of the variables in the resulting survival models. A major problem in this context is the typically large number of genes compared to the number of observations (individuals). Feature selec...

journal_title：BMC bioinformatics

authors： Kammers K,Lang M,Hengstler JG,Schmidt M,Rahnenführer J

更新日期：2011-12-16 00:00:00

abstract：BACKGROUND:Protein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) are the most effective and accurate methods for solving these problems. A key step to improve the performance of the SVM-based methods is to f...

journal_title：BMC bioinformatics

authors： Liu B,Wang X,Lin L,Dong Q,Wang X

更新日期：2008-12-01 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:Continuous enzyme kinetic assays are often used in high-throughput applications, as they allow rapid acquisition of large amounts of kinetic data and increased confidence compared to discontinuous assays. However, data analysis is often rate-limiting in high-throughput enzyme assays, as manual inspection and...

journal_title：BMC bioinformatics

authors： Olp MD,Kalous KS,Smith BC

更新日期：2020-05-14 00:00:00

abstract：BACKGROUND:Event sequences where different types of events often occur close together arise, e.g., when studying potential transcription factor binding sites (TFBS, events) of certain transcription factors (TF, types) in a DNA sequence. These events tend to occur in bursts: in some genomic regions there are more genes ...

journal_title：BMC bioinformatics

authors： Haiminen N,Mannila H,Terzi E

更新日期：2008-08-08 00:00:00