Exploring the transcription factor activity in high-throughput gene expression data using RLQ analysis.

abstract：BACKGROUND:In many biomedical applications, there is a need for developing classification models based on noisy annotations. Recently, various methods addressed this scenario by relaying on unreliable annotations obtained from multiple sources. RESULTS:We proposed a probabilistic classification algorithm based on labe...

journal_title：BMC bioinformatics

authors： Zhang P,Cao W,Obradovic Z

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:The biological network is highly dynamic. Functional relations between genes can be activated or deactivated depending on the biological conditions. On the genome-scale network, subnetworks that gain or lose local expression consistency may shed light on the regulatory mechanisms related to the changing biol...

journal_title：BMC bioinformatics

authors： Lu J,Lu Y,Ding Y,Xiao Q,Liu L,Cai Q,Kong Y,Bai Y,Yu T

更新日期：2019-12-24 00:00:00

abstract：BACKGROUND:The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of molecular sequence and profiling data. Here, the potential of such modeling is demonstrated by examining the 5,225 free-text items in the Caeno...

journal_title：BMC bioinformatics

authors： Blei DM,Franks K,Jordan MI,Mian IS

更新日期：2006-05-08 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:Here we introduce the Protein Sequence Annotation Tool (PSAT), a web-based, sequence annotation meta-server for performing integrated, high-throughput, genome-wide sequence analyses. Our goals in building PSAT were to (1) create an extensible platform for integration of multiple sequence-based bioinformatics...

journal_title：BMC bioinformatics

authors： Leung E,Huang A,Cadag E,Montana A,Soliman JL,Zhou CL

更新日期：2016-01-20 00:00:00

abstract：:Environmental shotgun sequencing (ESS) has potential to give greater insight into microbial communities than targeted sequencing of 16S regions, but requires much higher sequence coverage. The advent of next-generation sequencing has made it feasible for the Human Microbiome Project and other initiatives to generate E...

journal_title：BMC bioinformatics

authors： Ander C,Schulz-Trieglaff OB,Stoye J,Cox AJ

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND AND GOAL:The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-friendly scientific fields. RESULTS:In this conte...

journal_title：BMC bioinformatics

authors： Couronné R,Probst P,Boulesteix AL

更新日期：2018-07-17 00:00:00

abstract：BACKGROUND:Clustering of protein sequences is of key importance in predicting the structure and function of newly sequenced proteins and is also of use for their annotation. With the advent of multiple high-throughput sequencing technologies, new protein sequences are becoming available at an extraordinary rate. The ra...

journal_title：BMC bioinformatics

authors： Abnousi A,Broschat SL,Kalyanaraman A

更新日期：2018-03-05 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:Complex networks are studied across many fields of science and are particularly important to understand biological processes. Motifs in networks are small connected sub-graphs that occur significantly in higher frequencies than in random networks. They have recently gathered much attention as a useful concep...

journal_title：BMC bioinformatics

authors： Kashani ZR,Ahrabian H,Elahi E,Nowzari-Dalini A,Ansari ES,Asadi S,Mohammadi S,Schreiber F,Masoudi-Nejad A

更新日期：2009-10-04 00:00:00

abstract：BACKGROUND:Recently, the availability of high-resolution microscopy together with the advancements in the development of biomarkers as reporters of biomolecular interactions increased the importance of imaging methods in molecular cell biology. These techniques enable the investigation of cellular characteristics like ...

journal_title：BMC bioinformatics

authors： Stoma S,Fröhlich M,Gerber S,Klipp E

更新日期：2011-04-28 00:00:00

abstract：BACKGROUND:Genes encoding transcription factors that constitute gene-regulatory networks and maternal factors accumulating in egg cytoplasm are two classes of essential genes that play crucial roles in developmental processes. Transcription factors control the expression of their downstream target genes by interacting ...

journal_title：BMC bioinformatics

authors： Wang K,Nishida H

更新日期：2015-04-10 00:00:00

abstract：BACKGROUND:Automated genotype calling in tetraploid species was until recently not possible, which hampered genetic analysis. Modern genotyping assays often produce two signals, one for each allele of a bi-allelic marker. While ample software is available to obtain genotypes (homozygous for either allele, or heterozygo...

journal_title：BMC bioinformatics

authors： Voorrips RE,Gort G,Vosman B

更新日期：2011-05-19 00:00:00

abstract：:After publication of this supplement article. ...

journal_title：BMC bioinformatics

authors： Pan B,Kusko R,Xiao W,Zheng Y,Liu Z,Xiao C,Sakkiah S,Guo W,Gong P,Zhang C,Ge W,Shi L,Tong W,Hong H

更新日期：2019-05-15 00:00:00

abstract：BACKGROUND:The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray technology this enables researchers to gain insights into signaling pathways by observing downstream effects of individual knock-downs on gene ex...

journal_title：BMC bioinformatics

authors： Froehlich H,Fellmann M,Sueltmann H,Poustka A,Beissbarth T

更新日期：2007-10-15 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are recognized as one of the most important families of non-coding RNAs that serve as important sequence-specific post-transcriptional regulators of gene expression. Identification of miRNAs is an important requirement for understanding the mechanisms of post-transcriptional regulation. Hu...

journal_title：BMC bioinformatics

authors： Huang TH,Fan B,Rothschild MF,Hu ZL,Li K,Zhao SH

更新日期：2007-09-17 00:00:00

abstract：:Advances of high-throughput technologies have rapidly produced more and more data from DNAs and RNAs to proteins, especially large volumes of genome-scale data. However, connection of the genomic information to cellular functions and biological behaviours relies on the development of effective approaches at higher sys...

journal_title：BMC bioinformatics

authors： Yang JY,Dunker A,Liu JS,Qin X,Arabnia HR,Yang W,Niemierko A,Chen Z,Luo Z,Wang L,Liu Y,Xu D,Deng Y,Tong W,Yang M

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:RNA secondary structure prediction, or folding, is a classic problem in bioinformatics: given a sequence of nucleotides, the aim is to predict the base pairs formed in its three dimensional conformation. The inverse problem of designing a sequence folding into a particular target structure has only more rece...

journal_title：BMC bioinformatics

authors： Lyngsø RB,Anderson JW,Sizikova E,Badugu A,Hyland T,Hein J

更新日期：2012-10-09 00:00:00

abstract：BACKGROUND:A survey of presences and absences of specific species across multiple biogeographic units (or bioregions) are used in a broad area of biological studies from ecology to microbiology. Using binary presence-absence data, we evaluate species co-occurrences that help elucidate relationships among organisms and ...

journal_title：BMC bioinformatics

authors： Chung NC,Miasojedow B,Startek M,Gambin A

更新日期：2019-12-24 00:00:00

abstract：BACKGROUND:Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple organisms up to higher eukaryotes. Admittedly, a key ingredient in developing a reconstruction method is its ability to integrate heterogeneo...

journal_title：BMC bioinformatics

authors： Veber P,Guziolowski C,Le Borgne M,Radulescu O,Siegel A

更新日期：2008-05-06 00:00:00

abstract：BACKGROUND:Recent advances in genomics and proteomics have allowed us to study the nuances of the Warburg effect--a long-standing puzzle in cancer energy metabolism--at an unprecedented level of detail. While modern next-generation sequencing technologies are extremely powerful, the lack of appropriate data analysis to...

journal_title：BMC bioinformatics

authors： Markovets AA,Herman D

更新日期：2011-10-18 00:00:00

abstract：BACKGROUND:Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical methods often fail to identify biologically meaningful biomarkers related to a specific disease under study. In this paper, we develop a nove...

journal_title：BMC bioinformatics

authors： Chen L,Xuan J,Wang C,Shih IeM,Wang Y,Zhang Z,Hoffman E,Clarke R

更新日期：2008-10-06 00:00:00

abstract：BACKGROUND:Hierarchical Multi-Label Classification is a classification task where the classes to be predicted are hierarchically organized. Each instance can be assigned to classes belonging to more than one path in the hierarchy. This scenario is typically found in protein function prediction, considering that each pr...

journal_title：BMC bioinformatics

authors： Cerri R,Barros RC,P L F de Carvalho AC,Jin Y

更新日期：2016-09-15 00:00:00

abstract：BACKGROUND:Numerous functional genomics approaches have been developed to study the model organism yeast, Saccharomyces cerevisiae, with the aim of systematically understanding the biology of the cell. Some of these techniques are based on yeast growth differences under different conditions, such as those generated by ...

journal_title：BMC bioinformatics

authors： Memarian N,Jessulat M,Alirezaie J,Mir-Rashed N,Xu J,Zareie M,Smith M,Golshani A

更新日期：2007-04-04 00:00:00

abstract：BACKGROUND:Urokinase, its receptor and the integrins are functionally associated and involved in regulation of cell signaling, migration, adhesion and proliferation. No structural information is available on this potential multimolecular complex. However, the tri-dimensional structure of urokinase, urokinase receptor a...

journal_title：BMC bioinformatics

authors： Degryse B,Fernandez-Recio J,Citro V,Blasi F,Cubellis MV

更新日期：2008-03-26 00:00:00

abstract：BACKGROUND:Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides within repeated identical experiments are often produced. Pooling information across studies can help more accurately identify true target genes. ...

journal_title：BMC bioinformatics

authors： Conlon EM,Song JJ,Liu JS

更新日期：2006-05-05 00:00:00

abstract：BACKGROUND:Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ultimately effect transcriptional changes. Understanding the mechanisms cells use to accomplish this important process requires a detailed molec...

journal_title：BMC bioinformatics

authors： Steffen M,Petti A,Aach J,D'haeseleer P,Church G

更新日期：2002-11-01 00:00:00

abstract：BACKGROUND:Selective pressures at the DNA level shape genes into profiles consisting of patterns of rapidly evolving sites and sites withstanding change. These profiles remain detectable even when protein sequences become extensively diverged. A common task in molecular biology is to infer functional, structural or evo...

journal_title：BMC bioinformatics

authors： Ndhlovu A,Hazelhurst S,Durand PM

更新日期：2015-08-14 00:00:00

abstract：BACKGROUND:An increasing number of bioinformatics methods are considering the phylogenetic relationships between biological sequences. Implementing new methodologies using the maximum likelihood phylogenetic framework can be a time consuming task. RESULTS:The bioinformatics library libcov is a collection of C++ classe...

journal_title：BMC bioinformatics

authors： Butt D,Roger AJ,Blouin C

更新日期：2005-06-06 00:00:00

abstract：BACKGROUND:The improvements of high throughput technologies have produced large amounts of multi-omics experiments datasets. Initial analysis of these data has revealed many concurrent gene alterations within single dataset or/and among multiple omics datasets. Although powerful bioinformatics pipelines have been devel...

journal_title：BMC bioinformatics

authors： Chen D,Zhang F,Zhao Q,Xu J

更新日期：2019-11-08 00:00:00