Informative gene selection and the direct classification of tumors based on relative simplicity.

abstract：BACKGROUND:The ability to detect nuclei in embryos is essential for studying the development of multicellular organisms. A system of automated nuclear detection has already been tested on a set of four-dimensional (4D) Nomarski differential interference contrast (DIC) microscope images of Caenorhabditis elegans embryos...

journal_title：BMC bioinformatics

authors： Hamahashi S,Onami S,Kitano H

更新日期：2005-05-24 00:00:00

abstract：BACKGROUND:In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as genomics, proteomics or transcriptomics. New information management systems are now needed for the collection, validation and analysis of the...

journal_title：BMC bioinformatics

authors： Thompson JD,Muller A,Waterhouse A,Procter J,Barton GJ,Plewniak F,Poch O

更新日期：2006-06-23 00:00:00

abstract：BACKGROUND:The topology of a biological pathway provides clues as to how a pathway operates, but rationally using this topology information with observed gene expression data remains a challenge. RESULTS:We introduce a new general-purpose analytic method called Mechanistic Bayesian Networks (MBNs) that allows for the ...

journal_title：BMC bioinformatics

authors： Shah A,Tenzen T,McMahon AP,Woolf PJ

更新日期：2009-12-18 00:00:00

abstract：BACKGROUND:Analysis of cellular processes with microscopic bright field defocused imaging has the advantage of low phototoxicity and minimal sample preparation. However bright field images lack the contrast and nuclei reporting available with florescent approaches and therefore present a challenge to methods that segme...

journal_title：BMC bioinformatics

authors： Mohamadlou H,Shope JC,Flann NS

更新日期：2014-01-30 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:Supervised learning and many stochastic methods for predicting protein-protein interactions require both negative and positive interactions in the training data set. Unlike positive interactions, negative interactions cannot be readily obtained from interaction data, so these must be generated. In protein-pr...

journal_title：BMC bioinformatics

authors： Kim J,Huang DS,Han K

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:Light microscopy is of central importance in cell biology. The recent introduction of automated high content screening has expanded this technology towards automation of experiments and performing large scale perturbation assays. Nevertheless, evaluation of microscopy data continues to be a bottleneck in man...

journal_title：BMC bioinformatics

authors： Misselwitz B,Strittmatter G,Periaswamy B,Schlumberger MC,Rout S,Horvath P,Kozak K,Hardt WD

更新日期：2010-01-14 00:00:00

abstract：BACKGROUND:RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and even more so transcript counting methods which avoid mapping and quantify gene and transcript expres...

journal_title：BMC bioinformatics

authors： Pérez-Rubio P,Lottaz C,Engelmann JC

更新日期：2019-05-03 00:00:00

abstract：BACKGROUND:The efficient and robust statistical analysis of the shape of plant organs of different cultivars is an important investigation issue in plant breeding and enables a robust cultivar description within the breeding progress. Laserscanning is a highly accurate and high resolution technique to acquire the 3D sh...

journal_title：BMC bioinformatics

authors： Heeren B,Paulus S,Goldbach H,Kuhlmann H,Mahlein AK,Rumpf M,Wirth B

更新日期：2020-07-29 00:00:00

abstract：BACKGROUND:XHMM is a widely used tool for copy-number variant (CNV) discovery from whole exome sequencing data but can require hours to days to run for large cohorts. A more scalable implementation would reduce the need for specialized computational resources and enable increased exploration of the configuration parame...

journal_title：BMC bioinformatics

authors： Linderman MD,Chia D,Wallace F,Nothaft FA

更新日期：2019-10-11 00:00:00

abstract：BACKGROUND:Variation in DNA copy number, due to gains and losses of chromosome segments, is common. A first step for analyzing DNA copy number data is to identify amplified or deleted regions in individuals. To locate such regions, we propose a circular binary segmentation procedure, which is based on a sequence of nes...

journal_title：BMC bioinformatics

authors： Yang TY

更新日期：2012-10-30 00:00:00

abstract：BACKGROUND:Various computer-based methods exist for the detection and quantification of protein spots in two dimensional gel electrophoresis images. Area-based methods are commonly used for spot quantification: an area is assigned to each spot and the sum of the pixel intensities in that area, the so-called volume, is ...

journal_title：BMC bioinformatics

authors： Brauner JM,Groemer TW,Stroebel A,Grosse-Holz S,Oberstein T,Wiltfang J,Kornhuber J,Maler JM

更新日期：2014-06-11 00:00:00

abstract：BACKGROUND:Cryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles in the field of structural cell biology. However, due to the low signal-to-noise ratio (SNR), large volume and high content complexity within cells, it remains difficult a...

journal_title：BMC bioinformatics

authors： Li R,Zeng X,Sigmund SE,Lin R,Zhou B,Liu C,Wang K,Jiang R,Freyberg Z,Lv H,Xu M

更新日期：2019-03-29 00:00:00

abstract：BACKGROUND:Accumulating evidence has demonstrated that long non-coding RNAs (lncRNAs) are closely associated with human diseases, and it is useful for the diagnosis and treatment of diseases to get the relationships between lncRNAs and diseases. Due to the high costs and time complexity of traditional bio-experiments, ...

journal_title：BMC bioinformatics

authors： Xiao Y,Xiao Z,Feng X,Chen Z,Kuang L,Wang L

更新日期：2020-12-02 00:00:00

abstract：BACKGROUND:Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamically expressed under given conditions, and to determine the interaction between these genes. Because of cost and resource issues, most time se...

journal_title：BMC bioinformatics

authors： Sinha A,Markatou M

更新日期：2011-01-11 00:00:00

abstract：BACKGROUND:Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central aspects graphically in an intuitively understandable way. RESULTS:We present a visualization method that incorporates both emission and transi...

journal_title：BMC bioinformatics

authors： Schuster-Böckler B,Schultz J,Rahmann S

更新日期：2004-01-21 00:00:00

abstract：BACKGROUND:Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introduce additional variability into normalized expression levels due to innate variation (between tissues, individuals, etc). To minimize this inna...

journal_title：BMC bioinformatics

authors： Chervoneva I,Li Y,Schulz S,Croker S,Wilson C,Waldman SA,Hyslop T

更新日期：2010-05-14 00:00:00

abstract：BACKGROUND:The analysis of genome synteny is a common practice in comparative genomics. With the advent of DNA sequencing technologies, individual biologists can rapidly produce their genomic sequences of interest. Although web-based synteny visualization tools are convenient for biologists to use, none of the existing...

journal_title：BMC bioinformatics

authors： Revanna KV,Chiu CC,Bierschank E,Dong Q

更新日期：2011-08-02 00:00:00

abstract：BACKGROUND:Modules of interacting components arranged in specific network topologies have evolved to perform a diverse array of cellular functions. For a network with a constant topological structure, its function within a cell may still be tuned by changing the number of instances of a particular component (e.g., gene...

journal_title：BMC bioinformatics

authors： Shah NA,Sarkar CA

更新日期：2019-05-14 00:00:00

abstract：BACKGROUND:Under conditions of no strand bias the number of Gs is equal to that of Cs for each DNA strand; similarly, the total number of Ts is equal to that of As. However, within each strand there are considerable local deviations from the A = T and G = C equality. These asymmetries in nucleotide composition have bee...

journal_title：BMC bioinformatics

authors： Thomas JM,Horspool D,Brown G,Tcherepanov V,Upton C

更新日期：2007-01-23 00:00:00

abstract：BACKGROUND:It is possible to predict whether a tuberculosis (TB) patient will fail to respond to specific antibiotics by sequencing the genome of the infecting Mycobacterium tuberculosis (Mtb) and observing whether the pathogen carries specific mutations at drug-resistance sites. This advancement has led to the collati...

journal_title：BMC bioinformatics

authors： Ngo TM,Teo YY

更新日期：2019-02-08 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:Biomedical processes can provide essential information about the (mal-) functioning of an organism and are thus frequently represented in biomedical terminologies and ontologies, including the GO Biological Process branch. These processes often need to be described and categorised in terms of their attribute...

journal_title：BMC bioinformatics

authors： Andrade AQ,Blondé W,Hastings J,Schulz S

更新日期：2012-08-28 00:00:00

abstract：BACKGROUND:Understanding the relationship between gene expression changes, enzyme activity shifts, and the corresponding physiological adaptive response of organisms to environmental cues is crucial in explaining how cells cope with stress. For example, adaptation of yeast to heat shock involves a characteristic profil...

journal_title：BMC bioinformatics

authors： Vilaprinyo E,Alves R,Sorribas A

更新日期：2006-04-03 00:00:00

abstract：BACKGROUND:A fundamental fact in biology states that genes do not operate in isolation, and yet, methods that infer regulatory networks for single cell gene expression data have been slow to emerge. With single cell sequencing methods now becoming accessible, general network inference algorithms that were initially dev...

journal_title：BMC bioinformatics

authors： Chen S,Mar JC

更新日期：2018-06-19 00:00:00

abstract：BACKGROUND:Recent years have seen an increased amount of natural language processing (NLP) work on full text biomedical journal publications. Much of this work is done with Open Access journal articles. Such work assumes that Open Access articles are representative of biomedical publications in general and that methods...

journal_title：BMC bioinformatics

authors： Verspoor K,Cohen KB,Hunter L

更新日期：2009-06-15 00:00:00

abstract：BACKGROUND:High throughput experiments have generated a significantly large amount of protein interaction data, which is being used to study protein networks. Studying complete protein networks can reveal more insight about healthy/disease states than studying proteins in isolation. Similarly, a comparative study of pr...

journal_title：BMC bioinformatics

authors： Ayub U,Haider I,Naveed H

更新日期：2020-11-04 00:00:00

abstract：BACKGROUND:Reverse engineering of transcriptional regulatory networks (TRN) from genomics data has always represented a computational challenge in System Biology. The major issue is modeling the complex crosstalk among transcription factors (TFs) and their target genes, with a method able to handle both the high number...

journal_title：BMC bioinformatics

authors： Sauta E,Demartini A,Vitali F,Riva A,Bellazzi R

更新日期：2020-05-29 00:00:00

abstract：BACKGROUND:Several studies demonstrated the feasibility of predicting bacterial antibiotic resistance phenotypes from whole-genome sequences, the prediction process usually amounting to detecting the presence of genes involved in antibiotic resistance mechanisms, or of specific mutations, previously identified from a t...

journal_title：BMC bioinformatics

authors： Mahé P,Tournoud M

更新日期：2018-10-17 00:00:00

abstract：BACKGROUND:Although high-throughput microarray based molecular diagnostic technologies show a great promise in cancer diagnosis, it is still far from a clinical application due to its low and instable sensitivities and specificities in cancer molecular pattern recognition. In fact, high-dimensional and heterogeneous tu...

journal_title：BMC bioinformatics

authors： Han H,Li XL

更新日期：2011-02-15 00:00:00