Predicting variant deleteriousness in non-human species: applying the CADD approach in mouse.

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:The main goal of the whole transcriptome analysis is to correctly identify all expressed transcripts within a specific cell/tissue--at a particular stage and condition--to determine their structures and to measure their abundances. RNA-seq data promise to allow identification and quantification of transcript...

journal_title：BMC bioinformatics

authors： Angelini C,De Canditiis D,De Feis I

更新日期：2014-05-09 00:00:00

abstract：BACKGROUND:To further our understanding of immunopeptidomics, improved tools are needed to identify peptides presented by major histocompatibility complex class I (MHC-I). Many existing tools are limited by their reliance upon chemical affinity data, which is less biologically relevant than sampling by mass spectrometr...

journal_title：BMC bioinformatics

authors： Boehm KM,Bhinder B,Raja VJ,Dephoure N,Elemento O

更新日期：2019-01-05 00:00:00

abstract：BACKGROUND:The central element of each enzyme is the catalytic site, which commonly catalyzes a single biochemical reaction with high specificity. It was unclear to us how often sites that catalyze the same or highly similar reactions evolved on different, i. e. non-homologous protein folds and how similar their 3D pos...

journal_title：BMC bioinformatics

authors： Žváček C,Friedrichs G,Heizinger L,Merkl R

更新日期：2015-11-04 00:00:00

abstract：BACKGROUND:Identifying similarities between patterns of differential gene expression provides an opportunity to identify similarities between the experimental and biological conditions that give rise to these gene expression alterations. The growing volume of gene expression data in open data repositories such as the N...

journal_title：BMC bioinformatics

authors： Gower AC,Spira A,Lenburg ME

更新日期：2011-09-27 00:00:00

abstract：BACKGROUND:High-throughput sequencing technologies, such as the Illumina Genome Analyzer, are powerful new tools for investigating a wide range of biological and medical questions. Statistical and computational methods are key for drawing meaningful and accurate conclusions from the massive and complex datasets generat...

journal_title：BMC bioinformatics

authors： Bullard JH,Purdom E,Hansen KD,Dudoit S

更新日期：2010-02-18 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:Molecular docking is a widely-employed method in structure-based drug design. An essential component of molecular docking programs is a scoring function (SF) that can be used to identify the most stable binding pose of a ligand, when bound to a receptor protein, from among a large set of candidate poses. Des...

journal_title：BMC bioinformatics

authors： Ashtawy HM,Mahapatra NR

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of signaling pathways during disease development or therapeutic intervention would assist in drug development, design of therapy, and target ide...

journal_title：BMC bioinformatics

authors： Bidaut G,Suhre K,Claverie JM,Ochs MF

更新日期：2006-02-28 00:00:00

abstract：BACKGROUND:Techniques for reconstruction of biological networks which are based on perturbation experiments often predict direct interactions between nodes that do not exist. Transitive reduction removes such relations if they can be explained by an indirect path of influences. The existing algorithms for transitive re...

journal_title：BMC bioinformatics

authors： Bošnački D,Odenbrett MR,Wijs A,Ligtenberg W,Hilbers P

更新日期：2012-10-30 00:00:00

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

authors： Tellinghuisen J

更新日期：2020-07-08 00:00:00

abstract：BACKGROUND:A phylogeny postulates shared ancestry relationships among organisms in the form of a binary tree. Phylogenies attempt to answer an important question posed in biology: what are the ancestor-descendent relationships between organisms? At the core of every biological problem lies a phylogenetic component. The...

journal_title：BMC bioinformatics

authors： Varón A,Wheeler WC

更新日期：2013-02-26 00:00:00

abstract：BACKGROUND:Genome and metagenome studies have identified thousands of protein families whose functions are poorly understood and for which techniques for functional characterization provide only partial information. For such proteins, the genome context can give further information about their functional context. RESU...

journal_title：BMC bioinformatics

authors： Konietzny SG,Dietz L,McHardy AC

更新日期：2011-05-09 00:00:00

abstract：BACKGROUND:SNP genotyping microarrays have revolutionized the study of complex disease. The current range of commercially available genotyping products contain extensive catalogues of low frequency and rare variants. Existing SNP calling algorithms have difficulty dealing with these low frequency variants, as the under...

journal_title：BMC bioinformatics

authors： Liu R,Dai Z,Yeager M,Irizarry RA,Ritchie ME

更新日期：2014-05-23 00:00:00

abstract：BACKGROUND:Orthologs inference is the starting point of most comparative genomics studies, and a plethora of methods have been designed in the last decade to address this challenging task. In this paper we focus on the problems of deciding consistency with a species tree (known or not) of a partial set of orthology/par...

journal_title：BMC bioinformatics

authors： Jones M,Paul C,Scornavacca C

更新日期：2016-11-11 00:00:00

abstract：BACKGROUND:Population stratification is a systematic difference in allele frequencies between subpopulations. This can lead to spurious association findings in the case-control genome wide association studies (GWASs) used to identify single nucleotide polymorphisms (SNPs) associated with disease-linked phenotypes. Meth...

journal_title：BMC bioinformatics

authors： Hajiloo M,Sapkota Y,Mackey JR,Robson P,Greiner R,Damaraju S

更新日期：2013-02-22 00:00:00

abstract：BACKGROUND:Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and never with the control provided by simulation analysis. This study ...

journal_title：BMC bioinformatics

authors： Rosenberg MS

更新日期：2005-11-23 00:00:00

abstract：BACKGROUND:The total number of known three-dimensional protein structures is rapidly increasing. Consequently, the need for fast structural search against complete databases without a significant loss of accuracy is increasingly demanding. Recently, TopSearch, an ultra-fast method for finding rigid structural relations...

journal_title：BMC bioinformatics

authors： Gutiérrez FI,Rodriguez-Valenzuela F,Ibarra IL,Devos DP,Melo F

更新日期：2016-01-05 00:00:00

abstract：BACKGROUND:Mammalian germ cells undergo meiosis to produce sperm or eggs, haploid cells that are primed to meet and propagate life. Meiosis is initiated by retinoic acid and meiotic prophase is the first and most complex stage of meiosis when homologous chromosomes pair to exchange genetic information. Errors in meiosi...

journal_title：BMC bioinformatics

authors： Li Y,Ray D,Ye P

更新日期：2013-02-27 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:Many processes in molecular biology involve the recognition of short sequences of nucleic-or amino acids, such as the binding of immunogenic peptides to major histocompatibility complex (MHC) molecules. From experimental data, a model of the sequence specificity of these processes can be constructed, such as...

journal_title：BMC bioinformatics

authors： Peters B,Sette A

更新日期：2005-05-31 00:00:00

abstract：BACKGROUND:Biocatalysis in organic solvents is nowadays a common practice with a large potential in Biotechnology. Several studies report that proteins which are co-crystallized or soaked in organic solvents preserve their fold integrity showing almost identical arrangements when compared to their aqueous forms. Howeve...

journal_title：BMC bioinformatics

authors： Rueda AJV,Monzon AM,Ardanaz SM,Iglesias LE,Parisi G

更新日期：2018-01-30 00:00:00

abstract：BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most abundant genetic variant found in vertebrates and invertebrates. SNP discovery has become a highly automated, robust and relatively inexpensive process allowing the identification of many thousands of mutations for model and non-model organisms. Annotating ...

journal_title：BMC bioinformatics

authors： Doran AG,Creevey CJ

更新日期：2013-02-08 00:00:00

abstract：BACKGROUND:One approach to improving the personalized treatment of cancer is to understand the cellular signaling transduction pathways that cause cancer at the level of the individual patient. In this study, we used unsupervised deep learning to learn the hierarchical structure within cancer gene expression data. Deep...

journal_title：BMC bioinformatics

authors： Young JD,Cai C,Lu X

更新日期：2017-10-03 00:00:00

abstract：BACKGROUND:A phylogeny is the evolutionary history of a group of organisms. To date, sequence data is still the most used data type for phylogenetic reconstruction. Before any sequences can be used for phylogeny reconstruction, they must be aligned, and the quality of the multiple sequence alignment has been shown to a...

journal_title：BMC bioinformatics

authors： Yue F,Shi J,Tang J

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex diseases. Replication-based analysis, which considers data from each stage separately, often suffers from loss of efficiency. Joint test that co...

journal_title：BMC bioinformatics

authors： Pan D,Li Q,Jiang N,Liu A,Yu K

更新日期：2011-01-07 00:00:00

abstract：BACKGROUND:The development of high-throughput experimentation has led to astronomical growth in biologically relevant lipids and lipid derivatives identified, screened, and deposited in numerous online databases. Unfortunately, efforts to annotate, classify, and analyze these chemical entities have largely remained in ...

journal_title：BMC bioinformatics

authors： Chepelev LL,Riazanov A,Kouznetsov A,Low HS,Dumontier M,Baker CJ

更新日期：2011-07-26 00:00:00

abstract：BACKGROUND:Computational discovery of microRNAs (miRNA) is based on pre-determined sets of features from miRNA precursors (pre-miRNA). Some feature sets are composed of sequence-structure patterns commonly found in pre-miRNAs, while others are a combination of more sophisticated RNA features. In this work, we analyze t...

journal_title：BMC bioinformatics

authors： Lopes Ide O,Schliep A,de Carvalho AC

更新日期：2014-05-02 00:00:00

abstract：BACKGROUND:Ensemble predictors such as the random forest are known to have superior accuracy but their black-box predictions are difficult to interpret. In contrast, a generalized linear model (GLM) is very interpretable especially when forward feature selection is used to construct the model. However, forward feature ...

journal_title：BMC bioinformatics

authors： Song L,Langfelder P,Horvath S

更新日期：2013-01-16 00:00:00

abstract：BACKGROUND:Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans in the process when intuition and human reasoning are required. Workflows for experiments also highlight transitions among experimental phase...

journal_title：BMC bioinformatics

authors： Verdi KK,Ellis HJ,Gryk MR

更新日期：2007-01-30 00:00:00