SAMPI: protein identification with mass spectra alignments.

abstract：BACKGROUND:A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published networ...

journal_title：BMC bioinformatics

authors： Macpherson JI,Pinney JW,Robertson DL

更新日期：2009-03-26 00:00:00

abstract：BACKGROUND:Infections are often associated to comorbidity that increases the risk of medical conditions which can lead to further morbidity and mortality. SARS is a threat which is similar to MERS virus, but the comorbidity is the key aspect to underline their different impacts. One UK doctor says "I'd rather have HIV ...

journal_title：BMC bioinformatics

authors： Moni MA,Liò P

更新日期：2014-10-24 00:00:00

abstract：BACKGROUND:In Gene Ontology, the "Molecular Function" (MF) categorization is a widely used knowledge framework for gene function comparison and prediction. Its structure and annotation provide a convenient way to compare gene functional similarities at the molecular level. The existing gene similarity measures, however...

journal_title：BMC bioinformatics

authors： Peng J,Wang Y,Chen J

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible for serious diseases, with a great scientific impact and a wide application area. Several standalone applications had been developed in order t...

journal_title：BMC bioinformatics

authors： Corradi L,Fato M,Porro I,Scaglione S,Torterolo L

更新日期：2008-11-13 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: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:DNA copy number variation (CNV) has been recognized as an important source of genetic variation. Array comparative genomic hybridization (aCGH) is commonly used for CNV detection, but the microarray platform has a number of inherent limitations. RESULTS:Here, we describe a method to detect copy number varia...

journal_title：BMC bioinformatics

authors： Xie C,Tammi MT

更新日期：2009-03-06 00:00:00

abstract：BACKGROUND:Identification of causal SNPs in most genome wide association studies relies on approaches that consider each SNP individually. However, there is a strong correlation structure among SNPs that needs to be taken into account. Hence, increasingly modern computationally expensive regression methods are employed...

journal_title：BMC bioinformatics

authors： Zuber V,Duarte Silva AP,Strimmer K

更新日期：2012-10-31 00:00:00

abstract：BACKGROUND:A massive amount of proteomic data is generated on a daily basis, nonetheless annotating all sequences is costly and often unfeasible. As a countermeasure, machine learning methods have been used to automatically annotate new protein functions. More specifically, many studies have investigated hierarchical m...

journal_title：BMC bioinformatics

authors： Nakano FK,Lietaert M,Vens C

更新日期：2019-09-23 00:00:00

abstract：BACKGROUND:Although most of the current disease candidate gene identification and prioritization methods depend on functional annotations, the coverage of the gene functional annotations is a limiting factor. In the current study, we describe a candidate gene prioritization method that is entirely based on protein-prot...

journal_title：BMC bioinformatics

authors： Chen J,Aronow BJ,Jegga AG

更新日期：2009-02-27 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:Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously reported function annotation methods are of limited utility for fungal protein annotation. They are often trained only to one species, are not a...

journal_title：BMC bioinformatics

authors： Jung J,Yi G,Sukno SA,Thon MR

更新日期：2010-04-29 00:00:00

abstract：BACKGROUND:A common feature of microarray experiments is the occurrence of missing gene expression data. These missing values occur for a variety of reasons, in particular, because of the filtering of poor quality spots and the removal of undefined values when a logarithmic transformation is applied to negative backgro...

journal_title：BMC bioinformatics

authors： Tom BD,Gilks WR,Brooke-Powell ET,Ajioka JW

更新日期：2005-09-26 00:00:00

abstract：BACKGROUND:We introduce Approximate Entropy as a mathematical method of analysis for microarray data. Approximate entropy is applied here as a method to classify the complex gene expression patterns resultant of a clinical sample set. Since Entropy is a measure of disorder in a system, we believe that by choosing genes...

journal_title：BMC bioinformatics

authors： Botting SK,Trzeciakowski JP,Benoit MF,Salama SA,Diaz-Arrastia CR

更新日期：2009-02-20 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:Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been found in the printed literature. With journals now on-line and providing an increasing amount of open access content, often free of copyright ...

journal_title：BMC bioinformatics

authors： Prlić A,Martinez MA,Dimitropoulos D,Beran B,Yukich BT,Rose PW,Bourne PE,Fink JL

更新日期：2010-04-29 00:00:00

abstract：BACKGROUND:Computer-aided segmentation and border detection in dermoscopic images is one of the core components of diagnostic procedures and therapeutic interventions for skin cancer. Automated assessment tools for dermoscopy images have become an important research field mainly because of inter- and intra-observer var...

journal_title：BMC bioinformatics

authors： Kockara S,Mete M,Chen B,Aydin K

更新日期：2010-10-07 00:00:00

abstract：BACKGROUND:Managing and organizing biological knowledge remains a major challenge, due to the complexity of living systems. Recently, systemic representations have been promising in tackling such a challenge at the whole-cell scale. In such representations, the cell is considered as a system composed of interlocked sub...

journal_title：BMC bioinformatics

authors： Henry V,Saïs F,Inizan O,Marchadier E,Dibie J,Goelzer A,Fromion V

更新日期：2020-07-23 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:Cluster analysis is the most common unsupervised method for finding hidden groups in data. Clustering presents two main challenges: (1) finding the optimal number of clusters, and (2) removing "outliers" among the objects being clustered. Few clustering algorithms currently deal directly with the outlier pro...

journal_title：BMC bioinformatics

authors： Wang M,Abrams ZB,Kornblau SM,Coombes KR

更新日期：2018-01-08 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:The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a result, sequencing technologies have been increasingly applied to genomic research. RNA-Seq is becoming a common technique for surveying gene expression based on DNA sequencing. As it is not clear how increased sequencin...

journal_title：BMC bioinformatics

authors： Cai G,Li H,Lu Y,Huang X,Lee J,Müller P,Ji Y,Liang S

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:People with an autistic spectrum disorder (ASD) display a variety of characteristic behavioral traits, including impaired social interaction, communication difficulties and repetitive behavior. This complex neurodevelopment disorder is known to be associated with a combination of genetic and environmental fa...

journal_title：BMC bioinformatics

authors： Patel S,Roncaglia P,Lovering RC

更新日期：2015-06-06 00:00:00

abstract：BACKGROUND:Although carbohydrates are the third major class of biological macromolecules, after proteins and DNA, there is neither a comprehensive database for carbohydrate structures nor an established universal structure encoding scheme for computational purposes. Funding for further development of the Complex Carboh...

journal_title：BMC bioinformatics

authors： Ranzinger R,Herget S,Wetter T,von der Lieth CW

更新日期：2008-09-19 00:00:00

abstract：BACKGROUND:Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods have motivated the development of computational methods for predicting PPIs. As protein interactions generally occur via domains instead of the ...

journal_title：BMC bioinformatics

authors： González AJ,Liao L

更新日期：2010-10-29 00:00:00

abstract：BACKGROUND:In quantitative proteomics, peptide mapping is a valuable approach to combine positional quantitative information with topographical and domain information of proteins. Quantitative proteomic analysis of cell surface shedding is an exemplary application area of this approach. RESULTS:We developed ImproViser...

journal_title：BMC bioinformatics

authors： Videm P,Gunasekaran D,Schröder B,Mayer B,Biniossek ML,Schilling O

更新日期：2014-06-19 00:00:00

abstract：BACKGROUND:In protein design, correct use of topology is among the initial and most critical feature. Meticulous selection of backbone topology aids in drastically reducing the structure search space. With ProLego, we present a server application to explore the component aspect of protein structures and provide an intu...

journal_title：BMC bioinformatics

authors： Khan T,Panday SK,Ghosh I

更新日期：2018-05-04 00:00:00

abstract：BACKGROUND:Processing and analysis of DNA sequences obtained from next-generation sequencing (NGS) face some difficulties in terms of the correct prediction of DNA sequencing outcomes without the implementation of bioinformatics approaches. However, algorithms based on NGS perform inefficiently due to the generation of...

journal_title：BMC bioinformatics

authors： Shityakov S,Bencurova E,Förster C,Dandekar T

更新日期：2020-04-03 00:00:00

abstract：BACKGROUND:The PathoLogic program constructs Pathway/Genome databases by using a genome's annotation to predict the set of metabolic pathways present in an organism. PathoLogic determines the set of reactions composing those pathways from the enzymes annotated in the organism's genome. Most annotation efforts fail to a...

journal_title：BMC bioinformatics

authors： Green ML,Karp PD

更新日期：2004-06-09 00:00:00

abstract：:Transcript quantification is a long-standing problem in genomics and estimating the relative abundance of alternatively-spliced isoforms from the same transcript is an important special case. Both problems have recently been illuminated by high-throughput RNA sequencing experiments which are quickly generating large a...

journal_title：BMC bioinformatics

authors： Kakaradov B,Xiong HY,Lee LJ,Jojic N,Frey BJ

更新日期：2012-04-19 00:00:00