Colony size measurement of the yeast gene deletion strains for functional genomics.

abstract：BACKGROUND:Histopathology image analysis is a gold standard for cancer recognition and diagnosis. Automatic analysis of histopathology images can help pathologists diagnose tumor and cancer subtypes, alleviating the workload of pathologists. There are two basic types of tasks in digital histopathology image analysis: i...

journal_title：BMC bioinformatics

authors： Xu Y,Jia Z,Wang LB,Ai Y,Zhang F,Lai M,Chang EI

更新日期：2017-05-26 00:00:00

abstract：BACKGROUND:The immune system is multifaceted, structured by diverse components that interconnect using multilayered dynamic cellular processes. Genomic technologies provide a means for investigating, at the molecular level, the adaptations of the immune system in host defense and its dysregulation in pathological condi...

journal_title：BMC bioinformatics

authors： Liu H,Liu J,Toups M,Soos T,Arendt C

更新日期：2016-04-18 00:00:00

abstract：BACKGROUND:Many models have been proposed to detect copy number alterations in chromosomal copy number profiles, but it is usually not obvious to decide which is most effective for a given data set. Furthermore, most methods have a smoothing parameter that determines the number of breakpoints and must be chosen using v...

journal_title：BMC bioinformatics

authors： Hocking TD,Schleiermacher G,Janoueix-Lerosey I,Boeva V,Cappo J,Delattre O,Bach F,Vert JP

更新日期：2013-05-22 00:00:00

abstract：BACKGROUND:DNA methylation changes are associated with a wide array of biological processes. Bisulfite conversion of DNA followed by high-throughput sequencing is increasingly being used to assess genome-wide methylation at single-base resolution. The relative slowness of most commonly used aligners for processing such...

journal_title：BMC bioinformatics

authors： Ryan DP,Ehninger D

更新日期：2014-10-18 00:00:00

abstract：BACKGROUND:Microarray has been widely used to measure the gene expression level on the genome scale in the current decade. Many algorithms have been developed to reconstruct gene regulatory networks based on microarray data. Unfortunately, most of these models and algorithms focus on global properties of the expression...

journal_title：BMC bioinformatics

authors： Liu W,Li D,Liu Q,Zhu Y,He F

更新日期：2010-12-14 00:00:00

abstract：BACKGROUND:We aim to solve the problem of determining word senses for ambiguous biomedical terms with minimal human effort. METHODS:We build a fully automated system for Word Sense Disambiguation by designing a system that does not require manually-constructed external resources or manually-labeled training examples e...

journal_title：BMC bioinformatics

authors： Duan W,Song M,Yates A

更新日期：2009-03-19 00:00:00

abstract：BACKGROUND:Many proteins contain conserved sequence patterns (motifs) that contribute to their functionality. The process of experimentally identifying and validating novel protein motifs can be difficult, expensive, and time consuming. A means for helping to identify in advance the possible function of a novel motif i...

journal_title：BMC bioinformatics

authors： Bristow F,He R,Van Domselaar G

更新日期：2011-09-26 00:00:00

abstract：BACKGROUND:Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of constructing models based on simple and intelligible rules. In this investigation the performance of LLM in classifying patients with cancer was evaluated using a set of eight publicly available gene expression databases f...

journal_title：BMC bioinformatics

authors： Verda D,Parodi S,Ferrari E,Muselli M

更新日期：2019-11-22 00:00:00

abstract：BACKGROUND:A number of software packages are available to generate DNA multiple sequence alignments (MSAs) evolved under continuous-time Markov processes on phylogenetic trees. On the other hand, methods of simulating the DNA MSA directly from the transition matrices do not exist. Moreover, existing software restricts ...

journal_title：BMC bioinformatics

authors： Kedzierska AM,Casanellas M

更新日期：2012-08-28 00:00:00

abstract：BACKGROUND:Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilitate high throughput classification of biomedical information. However, to our knowledge, no evaluation has been published on automating classi...

journal_title：BMC bioinformatics

authors： Chen JL,Liu Y,Sam LT,Li J,Lussier YA

更新日期：2007-05-09 00:00:00

abstract：BACKGROUND:The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determine which clustering algorithm is most appropriate to apply, and it is difficult to verify the results of any algorithm due to the lack of a gol...

journal_title：BMC bioinformatics

authors： Hibbs MA,Dirksen NC,Li K,Troyanskaya OG

更新日期：2005-05-12 00:00:00

abstract：BACKGROUND:Two-dimensional data needs to be processed and analysed in almost any experimental laboratory. Some tasks in this context may be performed with generic software such as spreadsheet programs which are available ubiquitously, others may require more specialised software that requires paid licences. Additionall...

journal_title：BMC bioinformatics

authors： Weeratunga S,Hu NJ,Simon A,Hofmann A

更新日期：2012-08-14 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:Observed levels of gene expression strongly depend on both activity of DNA binding transcription factors (TFs) and chromatin state through different histone modifications (HMs). In order to recover the functional relationship between local chromatin state, TF binding and observed levels of gene expression, r...

journal_title：BMC bioinformatics

authors： Aflakparast M,Geeven G,de Gunst MCM

更新日期：2020-01-02 00:00:00

abstract：BACKGROUND:Protein solvent accessibility prediction is a pivotal intermediate step towards modeling protein tertiary structures directly from one-dimensional sequences. It also plays an important part in identifying protein folds and domains. Although some methods have been presented to the protein solvent accessibilit...

journal_title：BMC bioinformatics

authors： Fan C,Liu D,Huang R,Chen Z,Deng L

更新日期：2016-01-11 00:00:00

abstract：BACKGROUND:Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters. However, in the literature there is little work dedicated to this area of research. On...

journal_title：BMC bioinformatics

authors： Yuan Y,Li CT,Wilson R

更新日期：2008-06-18 00:00:00

abstract：BACKGROUND:The rapid growth of protein-protein interaction (PPI) data has led to the emergence of PPI network analysis. Despite advances in high-throughput techniques, the interactomes of several model organisms are still far from complete. Therefore, it is desirable to expand these interactomes with ortholog-based and...

journal_title：BMC bioinformatics

authors： Lee SA,Chan CH,Tsai CH,Lai JM,Wang FS,Kao CY,Huang CY

更新日期：2008-12-12 00:00:00

abstract：BACKGROUND:Zebrafish is a widely used model organism for studying heart development and cardiac-related pathogenesis. With the ability of surviving without a functional circulation at larval stages, strong genetic similarity between zebrafish and mammals, prolific reproduction and optically transparent embryos, zebrafi...

journal_title：BMC bioinformatics

authors： Kang CP,Tu HC,Fu TF,Wu JM,Chu PH,Chang DT

更新日期：2018-05-09 00:00:00

abstract：BACKGROUND:Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray datasets often contain missing values (MVs) representing a major drawback for the use of the clustering methods. Usually the MVs are not treated,...

journal_title：BMC bioinformatics

authors： de Brevern AG,Hazout S,Malpertuy A

更新日期：2004-08-23 00:00:00

abstract：BACKGROUND:Cancer is caused through a multistep process, in which a succession of genetic changes, each conferring a competitive advantage for growth and proliferation, leads to the progressive conversion of normal human cells into malignant cancer cells. Interrogation of cancer genomes holds the promise of understandi...

journal_title：BMC bioinformatics

authors： Sanchez-Garcia F,Akavia UD,Mozes E,Pe'er D

更新日期：2010-04-14 00:00:00

abstract：BACKGROUND:Gene expression microarray experiments are expensive to conduct and guidelines for acceptable quality control at intermediate steps before and after the samples are hybridised to chips are vague. We conducted an experiment hybridising RNA from human brain to 117 U133A Affymetrix GeneChips and used these data...

journal_title：BMC bioinformatics

authors： Jones L,Goldstein DR,Hughes G,Strand AD,Collin F,Dunnett SB,Kooperberg C,Aragaki A,Olson JM,Augood SJ,Faull RL,Luthi-Carter R,Moskvina V,Hodges AK

更新日期：2006-04-19 00:00:00

abstract：BACKGROUND:Scientists rarely reuse expert knowledge of phylogeny, in spite of years of effort to assemble a great "Tree of Life" (ToL). A notable exception involves the use of Phylomatic, which provides tools to generate custom phylogenies from a large, pre-computed, expert phylogeny of plant taxa. This suggests great ...

journal_title：BMC bioinformatics

authors： Stoltzfus A,Lapp H,Matasci N,Deus H,Sidlauskas B,Zmasek CM,Vaidya G,Pontelli E,Cranston K,Vos R,Webb CO,Harmon LJ,Pirrung M,O'Meara B,Pennell MW,Mirarab S,Rosenberg MS,Balhoff JP,Bik HM,Heath TA,Midford PE,Brown

更新日期：2013-05-13 00:00:00

abstract：BACKGROUND:The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been made to analyze the data sets in order to understand protein activities. Considering that the basic units of protein interactions are domain i...

journal_title：BMC bioinformatics

authors： Lee H,Deng M,Sun F,Chen T

更新日期：2006-05-25 00:00:00

abstract：BACKGROUND:Genes occurring co-localized in multiple genomes can be strong indicators for either functional constraints on the genome organization or remnant ancestral gene order. The computational detection of these patterns, which are usually referred to as gene clusters, has become increasingly sensitive over the pas...

journal_title：BMC bioinformatics

authors： Jahn K,Winter S,Stoye J,Böcker S

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Although many of the genic features in Mycobacterium abscessus have been fully validated, a comprehensive understanding of the regulatory elements remains lacking. Moreover, there is little understanding of how the organism regulates its transcriptomic profile, enabling cells to survive in hostile environmen...

journal_title：BMC bioinformatics

authors： Staunton PM,Miranda-CasoLuengo AA,Loftus BJ,Gormley IC

更新日期：2019-09-10 00:00:00

abstract：BACKGROUND:The process of horizontal gene transfer (HGT) is believed to be widespread in Bacteria and Archaea, but little comparative data is available addressing its occurrence in complete microbial genomes. Collection of high-quality, automated HGT prediction data based on phylogenetic evidence has previously been im...

journal_title：BMC bioinformatics

authors： Podell S,Gaasterland T,Allen EE

更新日期：2008-10-07 00:00:00

abstract：BACKGROUND:Microarrays permit biologists to simultaneously measure the mRNA abundance of thousands of genes. An important issue facing investigators planning microarray experiments is how to estimate the sample size required for good statistical power. What is the projected sample size or number of replicate chips need...

journal_title：BMC bioinformatics

authors： Page GP,Edwards JW,Gadbury GL,Yelisetti P,Wang J,Trivedi P,Allison DB

更新日期：2006-02-22 00:00:00

abstract：BACKGROUND:The evolutionary history of genes serves as a cornerstone of contemporary biology. Most conserved sequences in mammalian genomes don't code for proteins, yielding a need to infer evolutionary history of sequences irrespective of what kind of functional element they may encode. Thus, sequence-, as opposed to ...

journal_title：BMC bioinformatics

authors： Gao K,Miller J

更新日期：2020-02-06 00:00:00

abstract：BACKGROUND:Identifying similarities between datasets is a fundamental task in data mining and has become an integral part of modern scientific investigation. Whether the task is to identify co-expressed genes in large-scale expression surveys or to predict combinations of gene knockouts which would elicit a similar phe...

journal_title：BMC bioinformatics

authors： Lee JY,Fujimoto GM,Wilson R,Wiley HS,Payne SH

更新日期：2018-06-11 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