JISTIC: identification of significant targets in cancer.

abstract：BACKGROUND:Interest in de novo genome assembly has been renewed in the past decade due to rapid advances in high-throughput sequencing (HTS) technologies which generate relatively short reads resulting in highly fragmented assemblies consisting of contigs. Additional long-range linkage information is typically used to ...

journal_title：BMC bioinformatics

authors： Lindsay J,Salooti H,Măndoiu I,Zelikovsky A

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Metabolomics, petroleum and biodiesel chemistry, biomarker discovery, and other fields which rely on high-resolution profiling of complex chemical mixtures generate datasets which contain millions of detector intensity readings, each uniquely addressed along dimensions of time (e.g., retention time of chemic...

journal_title：BMC bioinformatics

authors： Chae M,Shmookler Reis RJ,Thaden JJ

更新日期：2008-08-12 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are a class of endogenous regulatory small RNAs which play an important role in posttranscriptional regulations by targeting mRNAs for cleavage or translational repression. The base-pairing between the 5'-end of miRNA and the target mRNA 3'-UTRs is essential for the miRNA:mRNA recognition....

journal_title：BMC bioinformatics

authors： Gu J,Fu H,Zhang X,Li Y

更新日期：2007-11-08 00:00:00

abstract：BACKGROUND:Identification of expression quantitative trait loci (eQTLs) is an emerging area in genomic study. The task requires an integrated analysis of genome-wide single nucleotide polymorphism (SNP) data and gene expression data, raising a new computational challenge due to the tremendous size of data. RESULTS:We ...

journal_title：BMC bioinformatics

authors： Chang HH,McGeachie M,Alterovitz G,Ramoni MF

更新日期：2010-10-28 00:00:00

abstract：BACKGROUND:The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet, the goal of developing actionable, robust, and reproducible predictive signatures of phenotypes such as clinical outcome has not been attained in almost any disease area. Here, w...

journal_title：BMC bioinformatics

authors： Smith AM,Walsh JR,Long J,Davis CB,Henstock P,Hodge MR,Maciejewski M,Mu XJ,Ra S,Zhao S,Ziemek D,Fisher CK

更新日期：2020-03-20 00:00:00

abstract：:Shotgun proteomics has recently emerged as a powerful approach to characterizing proteomes in biological samples. Its overall objective is to identify the form and quantity of each protein in a high-throughput manner by coupling liquid chromatography with tandem mass spectrometry. As a consequence of its high throughp...

journal_title：BMC bioinformatics

authors： Li YF,Radivojac P

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Feed-forward loops (FFLs), consisting of miRNAs, transcription factors (TFs) and their common target genes, have been validated to be important for the initialization and development of complex diseases, including cancer. Esophageal Carcinoma (ESCA) and Stomach Adenocarcinoma (STAD) are two types of malignan...

journal_title：BMC bioinformatics

authors： Qin G,Yang L,Ma Y,Liu J,Huo Q

更新日期：2019-12-30 00:00:00

abstract：BACKGROUND:Polymorphic variants and mutations disrupting canonical splicing isoforms are among the leading causes of human hereditary disorders. While there is a substantial evidence of aberrant splicing causing Mendelian diseases, the implication of such events in multi-genic disorders is yet to be well understood. We...

journal_title：BMC bioinformatics

authors： Churbanov A,Vorechovský I,Hicks C

更新日期：2010-01-12 00:00:00

abstract：BACKGROUND:The traditional phylogeny analysis within gene family is mainly based on DNA or amino acid sequence homologies. However, these phylogenetic tree analyses are not suitable for those "non-traditional" gene families like microRNA with very short sequences. For the normal protein-coding gene families, low bootst...

journal_title：BMC bioinformatics

authors： Cai B,Yang X,Tuskan GA,Cheng ZM

更新日期：2011-03-18 00:00:00

abstract：BACKGROUND:Analyses of biomolecules for biodiversity, phylogeny or structure/function studies often use graphical tree representations. Many powerful tree editors are now available, but existing tree visualization tools make little use of meta-information related to the entities under study such as taxonomic descriptio...

journal_title：BMC bioinformatics

authors： Chevenet F,Brun C,Bañuls AL,Jacq B,Christen R

更新日期：2006-10-10 00:00:00

abstract：BACKGROUND:Non-coding RNAs gain more attention as their diverse roles in many cellular processes are discovered. At the same time, the need for efficient computational prediction of ncRNAs increases with the pace of sequencing technology. Existing tools are based on various approaches and techniques, but none of them p...

journal_title：BMC bioinformatics

authors： Raasch P,Schmitz U,Patenge N,Vera J,Kreikemeyer B,Wolkenhauer O

更新日期：2010-09-29 00:00:00

abstract：BACKGROUND:In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task is performed by a multi-classifier system where each classifier (Linear or Radial Basis function Support Vector Machines) is trained using feat...

journal_title：BMC bioinformatics

authors： Nanni L,Lumini A

更新日期：2008-01-24 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:Domain fusion analysis is a useful method to predict functionally linked proteins that may be involved in direct protein-protein interactions or in the same metabolic or signaling pathway. As separate domain databases like BLOCKS, PROSITE, Pfam, SMART, PRINTS-S, ProDom, TIGRFAMs, and amalgamated domain datab...

journal_title：BMC bioinformatics

authors： Truong K,Ikura M

更新日期：2003-05-06 00:00:00

abstract：BACKGROUND:Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and...

journal_title：BMC bioinformatics

authors： Liu Q,Crammer K,Pereira FC,Roos DS

更新日期：2008-10-14 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:Bioinformatics tools for automatic processing of biomedical literature are invaluable for both the design and interpretation of large-scale experiments. Many information extraction (IE) systems that incorporate natural language processing (NLP) techniques have thus been developed for use in the biomedical fi...

journal_title：BMC bioinformatics

authors： Tsai RT,Chou WC,Su YS,Lin YC,Sung CL,Dai HJ,Yeh IT,Ku W,Sung TY,Hsu WL

更新日期：2007-09-01 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:Clustering techniques are routinely used in gene expression data analysis to organize the massive data. Clustering techniques arrange a large number of genes or assays into a few clusters while maximizing the intra-cluster similarity and inter-cluster separation. While clustering of genes facilitates learnin...

journal_title：BMC bioinformatics

authors： Jonnalagadda S,Srinivasan R

更新日期：2009-01-30 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:Systematic mutagenesis studies have shown that only a few interface residues termed hot spots contribute significantly to the binding free energy of protein-protein interactions. Therefore, hot spots prediction becomes increasingly important for well understanding the essence of proteins interactions and hel...

journal_title：BMC bioinformatics

authors： Chen R,Chen W,Yang S,Wu D,Wang Y,Tian Y,Shi Y

更新日期：2011-07-29 00:00:00

abstract：BACKGROUND:In microarray experiments the numbers of replicates are often limited due to factors such as cost, availability of sample or poor hybridization. There are currently few choices for the analysis of a pair of microarrays where N = 1 in each condition. In this paper, we demonstrate the effectiveness of a new al...

journal_title：BMC bioinformatics

authors： Reid RW,Fodor AA

更新日期：2008-11-21 00:00:00

abstract：BACKGROUND:Somatic copy number alternation (SCNA) is a common feature of the cancer genome and is associated with cancer etiology and prognosis. The allele-specific SCNA analysis of a tumor sample aims to identify the allele-specific copy numbers of both alleles, adjusting for the ploidy and the tumor purity. Next gene...

journal_title：BMC bioinformatics

authors： Choo-Wosoba H,Albert PS,Zhu B

更新日期：2018-11-14 00:00:00

abstract：BACKGROUND:Inflammation is a core element of many different, systemic and chronic diseases that usually involve an important autoimmune component. The clinical phase of inflammatory diseases is often the culmination of a long series of pathologic events that started years before. The systemic characteristics and relate...

journal_title：BMC bioinformatics

authors： Xiao H,Bartoszek K,Lio' P

更新日期：2018-11-30 00:00:00

abstract：UNLABELLED: BACKGROUND:Acquiring and exploring whole genome sequence information for a species under investigation is now a routine experimental approach. On most genome browsers, typically, only the DNA sequence, EST support, motif search results, and GO annotations are displayed. However, for many species, a growing...

journal_title：BMC bioinformatics

authors： Antoniw J,Beacham AM,Baldwin TK,Urban M,Rudd JJ,Hammond-Kosack KE

更新日期：2011-11-15 00:00:00

abstract：BACKGROUND:Hepatocellular carcinoma (HCC) is an aggressive epithelial tumor which shows very poor prognosis and high rate of recurrence, representing an urgent problem for public healthcare. MicroRNAs (miRNAs/miRs) are a class of small, non-coding RNAs that attract great attention because of their role in regulation of...

journal_title：BMC bioinformatics

authors： Del Vecchio F,Gallo F,Di Marco A,Mastroiaco V,Caianiello P,Zazzeroni F,Alesse E,Tessitore A

更新日期：2015-12-10 00:00:00

abstract：BACKGROUND:Current taxonomic classification tools use exact string matching algorithms that are effective to tackle the data from the next generation sequencing technology. However, the unique error patterns in the third generation sequencing (TGS) technologies could reduce the accuracy of these programs. RESULTS:We d...

journal_title：BMC bioinformatics

authors： Bui VK,Wei C

更新日期：2020-10-20 00:00:00

abstract：BACKGROUND:Bacterial pan-genomes, comprised of conserved and variable genes across multiple sequenced bacterial genomes, allow for identification of genomic regions that are phylogenetically discriminating or functionally important. Pan-genomes consist of large amounts of data, which can restrict researchers ability to...

journal_title：BMC bioinformatics

authors： Clarke TH,Brinkac LM,Inman JM,Sutton G,Fouts DE

更新日期：2018-06-27 00:00:00

abstract：BACKGROUND:Structural interaction frequency matrices between all genome loci are now experimentally achievable thanks to high-throughput chromosome conformation capture technologies. This ensues a new methodological challenge for computational biology which consists in objectively extracting from these data the structu...

journal_title：BMC bioinformatics

authors： Boulos RE,Tremblay N,Arneodo A,Borgnat P,Audit B

更新日期：2017-04-11 00:00:00

abstract：BACKGROUND:Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These methods, however, either apply to specific subsets, or their predictions are not formalised, or they do not provide precise confidence values for th...

journal_title：BMC bioinformatics

authors： Vinayagam A,del Val C,Schubert F,Eils R,Glatting KH,Suhai S,König R

更新日期：2006-03-20 00:00:00