Deconvolution of gene expression from cell populations across the C. elegans lineage.

abstract：BACKGROUND:In recent times, there has been an exponential rise in the number of protein structures in databases e.g. PDB. So, design of fast algorithms capable of querying such databases is becoming an increasingly important research issue. This paper reports an algorithm, motivated from spectral graph matching techniq...

journal_title：BMC bioinformatics

authors： Bhattacharya S,Bhattacharyya C,Chandra NR

更新日期：2006-12-18 00:00:00

abstract：BACKGROUND:The Immunoglobulins (IG) and the T cell receptors (TR) play the key role in antigen recognition during the adaptive immune response. Recent progress in next-generation sequencing technologies has provided an opportunity for the deep T cell receptor repertoire profiling. However, a specialised software is req...

journal_title：BMC bioinformatics

authors： Nazarov VI,Pogorelyy MV,Komech EA,Zvyagin IV,Bolotin DA,Shugay M,Chudakov DM,Lebedev YB,Mamedov IZ

更新日期：2015-05-28 00:00:00

abstract：BACKGROUND:Understanding the relationship between the protein sequence and the 3D structure is a major research area in bioinformatics. The prediction of complete protein tertiary structure based only on sequence information is still an impractical work. This paper aims at revealing the hidden knowledge of the sequence...

journal_title：BMC bioinformatics

authors： Chen B,Johnson M

更新日期：2009-10-08 00:00:00

abstract：BACKGROUND:Transcriptome sequencing is a powerful tool for measuring gene expression, but as well as some other technologies, various artifacts and biases affect the quantification. In order to correct some of them, several normalization approaches have emerged, differing both in the statistical strategy employed and i...

journal_title：BMC bioinformatics

authors： Filloux C,Cédric M,Romain P,Lionel F,Christophe K,Dominique R,Abderrahman M,Daniel P

更新日期：2014-06-14 00:00:00

abstract：BACKGROUND:Large-scale genomic studies often identify large gene lists, for example, the genes sharing the same expression patterns. The interpretation of these gene lists is generally achieved by extracting concepts overrepresented in the gene lists. This analysis often depends on manual annotation of genes based on c...

journal_title：BMC bioinformatics

authors： He X,Sarma MS,Ling X,Chee B,Zhai C,Schatz B

更新日期：2010-05-20 00:00:00

abstract：BACKGROUND:Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained. RESULTS:We present an R/Bioconductor port of a fast novel algorithm for...

journal_title：BMC bioinformatics

authors： Savage RS,Heller K,Xu Y,Ghahramani Z,Truman WM,Grant M,Denby KJ,Wild DL

更新日期：2009-08-06 00:00:00

abstract：BACKGROUND:Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much debate on the best ways to process data, to design experiments and analyse the output. Furthermore, many of the more sophisticated mathematica...

journal_title：BMC bioinformatics

authors： Chain B,Bowen H,Hammond J,Posch W,Rasaiyaah J,Tsang J,Noursadeghi M

更新日期：2010-06-24 00:00:00

abstract：BACKGROUND:In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. RESULTS:Our method starts with the output from a permutation-based analysis for a set of pilot data, e.g. from the SAM package. Then for a given hypothesized mean difference and various sample...

journal_title：BMC bioinformatics

authors： Tibshirani R

更新日期：2006-03-02 00:00:00

abstract：BACKGROUND:Biclustering has been largely applied for the unsupervised analysis of biological data, being recognised today as a key technique to discover putative modules in both expression data (subsets of genes correlated in subsets of conditions) and network data (groups of coherently interconnected biological entiti...

journal_title：BMC bioinformatics

authors： Henriques R,Ferreira FL,Madeira SC

更新日期：2017-02-02 00:00:00

abstract：BACKGROUND:To understand biological processes and diseases, it is crucial to unravel the concerted interplay of transcription factors (TFs), microRNAs (miRNAs) and their targets within regulatory networks and fundamental sub-networks. An integrative computational resource generating a comprehensive view of these regula...

journal_title：BMC bioinformatics

authors： Le Béchec A,Portales-Casamar E,Vetter G,Moes M,Zindy PJ,Saumet A,Arenillas D,Theillet C,Wasserman WW,Lecellier CH,Friederich E

更新日期：2011-03-04 00:00:00

abstract：BACKGROUND:Manual chemical data curation from publications is error-prone, time consuming, and hard to maintain up-to-date data sets. Automatic information extraction can be used as a tool to reduce these problems. Since chemical structures usually described in images, information extraction needs to combine structure ...

journal_title：BMC bioinformatics

authors： Tharatipyakul A,Numnark S,Wichadakul D,Ingsriswang S

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) are of great importance in cellular systems of organisms, since they are the basis of cellular structure and function and many essential cellular processes are related to that. Most proteins perform their functions by interacting with other proteins, so predicting PPIs acc...

journal_title：BMC bioinformatics

authors： Liu L,Zhu X,Ma Y,Piao H,Yang Y,Hao X,Fu Y,Wang L,Peng J

更新日期：2020-12-16 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) play crucial roles in the execution of various cellular processes and form the basis of biological mechanisms. Although large amount of PPIs data for different species has been generated by high-throughput experimental techniques, current PPI pairs obtained with experiment...

journal_title：BMC bioinformatics

authors： You ZH,Lei YK,Zhu L,Xia J,Wang B

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:As high-throughput sequencing applications continue to evolve, the rapid growth in quantity and variety of sequence-based data calls for the development of new software libraries and tools for data analysis and visualization. Often, effective use of these tools requires computational skills beyond those of m...

journal_title：BMC bioinformatics

authors： Yousif A,Drou N,Rowe J,Khalfan M,Gunsalus KC

更新日期：2020-06-29 00:00:00

abstract：BACKGROUND:Next (second) generation sequencing is an increasingly important tool for many areas of molecular biology, however, care must be taken when interpreting its output. Even a low error rate can cause a large number of errors due to the high number of nucleotides being sequenced. Identifying sequencing errors fr...

journal_title：BMC bioinformatics

authors： Sleep JA,Schreiber AW,Baumann U

更新日期：2013-12-18 00:00:00

abstract：BACKGROUND:The imputation of genotypes increases the power of genome-wide association studies. However, the imputation quality should be assessed in each particular case. Nevertheless, not all imputation softwares control the error of output, e.g., the last release of fastPHASE program (1.4.8) lacks such an option. In ...

journal_title：BMC bioinformatics

authors： Khvorykh GV,Khrunin AV

更新日期：2020-07-24 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:Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles derived from multiple sequence alignments provide an alternative description of functional motifs characterizing families of related sequences. ...

journal_title：BMC bioinformatics

authors： Hummel J,Keshvari N,Weckwerth W,Selbig J

更新日期：2005-06-29 00:00:00

abstract：BACKGROUND:The rapid development of structural genomics has resulted in many "unknown function" proteins being deposited in Protein Data Bank (PDB), thus, the functional prediction of these proteins has become a challenge for structural bioinformatics. Several sequence-based and structure-based methods have been develo...

journal_title：BMC bioinformatics

authors： Li GH,Huang JF

更新日期：2010-08-27 00:00:00

abstract：BACKGROUND:This study addresses a recurrent biological problem, that is to define a formal clustering structure for a set of tissues on the basis of the relative abundance of multiple alternatively spliced isoforms mRNAs generated by the same gene. To this aim, we have used a model-based clustering approach, based on a...

journal_title：BMC bioinformatics

authors： Pelosi M,Alfò M,Martella F,Pappalardo E,Musarò A

更新日期：2015-09-15 00:00:00

abstract：BACKGROUND:The BioCreative text mining evaluation investigated the application of text mining methods to the task of automatically extracting information from text in biomedical research articles. We participated in Task 2 of the evaluation. For this task, we built a system to automatically annotate a given protein wit...

journal_title：BMC bioinformatics

authors： Ray S,Craven M

更新日期：2005-01-01 00:00:00

abstract：BACKGROUND:The creation of a complete genome-wide map of transcription factor binding sites is essential for understanding gene regulatory networks in vivo. However, current prediction methods generally rely on statistical models that imperfectly model transcription factor binding. Generation of new prediction methods ...

journal_title：BMC bioinformatics

authors： Hill JT,Anderson KR,Mastracci TL,Kaestner KH,Sussel L

更新日期：2011-02-25 00:00:00

abstract：BACKGROUND:Membrane transport proteins (transporters) play an essential role in every living cell by transporting hydrophilic molecules across the hydrophobic membranes. While the sequences of many membrane proteins are known, their structure and function is still not well characterized and understood, owing to the imm...

journal_title：BMC bioinformatics

authors： Alballa M,Butler G

更新日期：2020-04-23 00:00:00

abstract：BACKGROUND:Detection of genomic DNA copy number variations (CNVs) can provide a complete and more comprehensive view of human disease. It is interesting to identify and represent relevant CNVs from a genome-wide data due to high data volume and the complexity of interactions. RESULTS:In this paper, we incorporate the ...

journal_title：BMC bioinformatics

authors： Liu Y,Lee YF,Ng MK

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:Phenotype prediction problems are usually considered ill-posed, as the amount of samples is very limited with respect to the scrutinized genetic probes. This fact complicates the sampling of the defective genetic pathways due to the high number of possible discriminatory genetic networks involved. In this re...

journal_title：BMC bioinformatics

authors： Cernea A,Fernández-Martínez JL,deAndrés-Galiana EJ,Fernández-Ovies FJ,Alvarez-Machancoses O,Fernández-Muñiz Z,Saligan LN,Sonis ST

更新日期：2020-03-11 00:00:00

abstract：BACKGROUND:Correctly identifying genomic regions enriched with histone modifications and transcription factors is key to understanding their regulatory and developmental roles. Conceptually, these regions are divided into two categories, narrow peaks and broad domains, and different algorithms are used to identify each...

journal_title：BMC bioinformatics

authors： Starmer J,Magnuson T

更新日期：2016-03-24 00:00:00

abstract：BACKGROUND:Accurate annotation of translation initiation sites (TISs) is essential for understanding the translation initiation mechanism. However, the reliability of TIS annotation in widely used databases such as RefSeq is uncertain due to the lack of experimental benchmarks. RESULTS:Based on a homogeneity assumptio...

journal_title：BMC bioinformatics

authors： Hu GQ,Zheng X,Ju LN,Zhu H,She ZS

更新日期：2008-03-25 00:00:00

abstract：BACKGROUND:The Bacteria Biotope (BB) task is a biomedical relation extraction (RE) that aims to study the interaction between bacteria and their locations. This task is considered to pertain to fundamental knowledge in applied microbiology. Some previous investigations conducted the study by applying feature-based mode...

journal_title：BMC bioinformatics

authors： Jettakul A,Wichadakul D,Vateekul P

更新日期：2019-12-03 00:00:00

abstract：BACKGROUND:Antibacterial peptides are important components of the innate immune system, used by the host to protect itself from different types of pathogenic bacteria. Over the last few decades, the search for new drugs and drug targets has prompted an interest in these antibacterial peptides. We analyzed 486 antibacte...

journal_title：BMC bioinformatics

authors： Lata S,Sharma BK,Raghava GP

更新日期：2007-07-23 00:00:00

abstract：BACKGROUND:The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising tens of thousands of sequences. In such studies, sequence annotations frequently play an essential role, and reliable results depend on metadata...

journal_title：BMC bioinformatics

authors： Miotto O,Tan TW,Brusic V

更新日期：2008-01-01 00:00:00