Smith-Waterman peak alignment for comprehensive two-dimensional gas chromatography-mass spectrometry.

abstract：BACKGROUND:In mass spectrometry (MS) based proteomic data analysis, peak detection is an essential step for subsequent analysis. Recently, there has been significant progress in the development of various peak detection algorithms. However, neither a comprehensive survey nor an experimental comparison of these algorith...

journal_title：BMC bioinformatics

authors： Yang C,He Z,Yu W

更新日期：2009-01-06 00:00:00

abstract：BACKGROUND:HH-suite is a widely used open source software suite for sensitive sequence similarity searches and protein fold recognition. It is based on pairwise alignment of profile Hidden Markov models (HMMs), which represent multiple sequence alignments of homologous proteins. RESULTS:We developed a single-instructi...

journal_title：BMC bioinformatics

authors： Steinegger M,Meier M,Mirdita M,Vöhringer H,Haunsberger SJ,Söding J

更新日期：2019-09-14 00:00:00

abstract：BACKGROUND:Cancer progression is caused by the sequential accumulation of mutations, but not all orders of accumulation are equally likely. When the fixation of some mutations depends on the presence of previous ones, identifying restrictions in the order of accumulation of mutations can lead to the discovery of therap...

journal_title：BMC bioinformatics

authors： Diaz-Uriarte R

更新日期：2015-02-12 00:00:00

abstract：BACKGROUND:The identification of prognostic genes that can distinguish the prognostic risks of cancer patients remains a significant challenge. Previous works have proven that functional gene sets were more reliable for this task than the gene signature. However, few works have considered the cross-talk among functiona...

journal_title：BMC bioinformatics

authors： Zhou XH,Chu XY,Xue G,Xiong JH,Zhang HY

更新日期：2019-02-18 00:00:00

abstract：BACKGROUND:High-throughput methods can directly detect the set of interacting proteins in model species but the results are often incomplete and exhibit high false positive and false negative rates. A number of researchers have recently presented methods for integrating direct and indirect data for predicting interacti...

journal_title：BMC bioinformatics

authors： Qi Y,Klein-Seetharaman J,Bar-Joseph Z

更新日期：2007-01-01 00:00:00

abstract：BACKGROUND:Expression quantitative trait loci (eQTL) mapping is often used to identify genetic loci and candidate genes correlated with traits. Although usually a group of genes affect complex traits, genes in most eQTL mapping methods are considered as independent. Recently, some eQTL mapping methods have accounted fo...

journal_title：BMC bioinformatics

authors： Wang Y,Richard R,Pan Y

更新日期：2016-12-13 00:00:00

abstract：BACKGROUND:Analysis of gene expression data in terms of a priori-defined gene sets has recently received significant attention as this approach typically yields more compact and interpretable results than those produced by traditional methods that rely on individual genes. The set-level strategy can also be adopted wit...

journal_title：BMC bioinformatics

authors： Holec M,Kléma J,Zelezný F,Tolar J

更新日期：2012-06-25 00:00:00

abstract：BACKGROUND:Many functional RNA molecules fold into pseudoknot structures, which are often essential for the formation of an RNA's 3D structure. Currently the design of RNA molecules, which fold into a specific structure (known as RNA inverse folding) within biotechnological applications, is lacking the feature of incor...

journal_title：BMC bioinformatics

authors： Kleinkauf R,Houwaart T,Backofen R,Mann M

更新日期：2015-11-18 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:Mouse xenografts from (patient-derived) tumors (PDX) or tumor cell lines are widely used as models to study various biological and preclinical aspects of cancer. However, analyses of their RNA and DNA profiles are challenging, because they comprise reads not only from the grafted human cancer but also from t...

journal_title：BMC bioinformatics

authors： Kluin RJC,Kemper K,Kuilman T,de Ruiter JR,Iyer V,Forment JV,Cornelissen-Steijger P,de Rink I,Ter Brugge P,Song JY,Klarenbeek S,McDermott U,Jonkers J,Velds A,Adams DJ,Peeper DS,Krijgsman O

更新日期：2018-10-04 00:00:00

abstract：BACKGROUND:Infectious disease modeling and computational power have evolved such that large-scale agent-based models (ABMs) have become feasible. However, the increasing hardware complexity requires adapted software designs to achieve the full potential of current high-performance workstations. RESULTS:We have found l...

journal_title：BMC bioinformatics

authors： Willem L,Stijven S,Tijskens E,Beutels P,Hens N,Broeckhove J

更新日期：2015-06-02 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:Affymetrix microarrays are used by many laboratories to generate gene expression profiles. Generally, only large differences (> 1.7-fold) between conditions have been reported. Computational methods to reduce inter-array variability might be of value when attempting to detect smaller differences. We examined...

journal_title：BMC bioinformatics

authors： Welle S,Brooks AI,Thornton CA

更新日期：2002-08-30 00:00:00

abstract：BACKGROUND:Accurate somatic mutation-calling is essential for insightful mutation analyses in cancer studies. Several mutation-callers are publicly available and more are likely to appear. Nonetheless, mutation-calling is still challenging and there is unlikely to be one established caller that systematically outperfor...

journal_title：BMC bioinformatics

authors： Kim SY,Jacob L,Speed TP

更新日期：2014-05-21 00:00:00

abstract：BACKGROUND:The exponential growth of gigantic biological data from various sources, such as protein-protein interaction (PPI), genome sequences scaffolding, Mass spectrometry (MS) molecular networking and metabolic flux, demands an efficient way for better visualization and interpretation beyond the conventional, two-d...

journal_title：BMC bioinformatics

authors： Wang Q,Tang B,Song L,Ren B,Liang Q,Xie F,Zhuo Y,Liu X,Zhang L

更新日期：2013-11-14 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: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:Many processes in molecular biology involve the recognition of short sequences of nucleic-or amino acids, such as the binding of immunogenic peptides to major histocompatibility complex (MHC) molecules. From experimental data, a model of the sequence specificity of these processes can be constructed, such as...

journal_title：BMC bioinformatics

authors： Peters B,Sette A

更新日期：2005-05-31 00:00:00

abstract：BACKGROUND:Recent studies have shown that copy number variations (CNVs) are frequent in higher eukaryotes and associated with a substantial portion of inherited and acquired risk for various human diseases. The increasing availability of high-resolution genome surveillance platforms provides opportunity for rapidly ass...

journal_title：BMC bioinformatics

authors： Gai X,Perin JC,Murphy K,O'Hara R,D'arcy M,Wenocur A,Xie HM,Rappaport EF,Shaikh TH,White PS

更新日期：2010-02-04 00:00:00

abstract：BACKGROUND:A large effort to discover microRNAs (miRNAs) has been under way. Currently miRBase is their primary repository, providing annotations of primary sequences, precursors and probable genomic loci. In many cases miRNAs are identical or very similar between related (or in some cases more distant) species. Howeve...

journal_title：BMC bioinformatics

authors： Guerra-Assunção JA,Enright AJ

更新日期：2010-03-16 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:One of the greatest challenges in Metabolic Engineering is to develop quantitative models and algorithms to identify a set of genetic manipulations that will result in a microbial strain with a desirable metabolic phenotype which typically means having a high yield/productivity. This challenge is not only du...

journal_title：BMC bioinformatics

authors： Rocha M,Maia P,Mendes R,Pinto JP,Ferreira EC,Nielsen J,Patil KR,Rocha I

更新日期：2008-11-27 00:00:00

abstract：BACKGROUND:Identifying similarities between patterns of differential gene expression provides an opportunity to identify similarities between the experimental and biological conditions that give rise to these gene expression alterations. The growing volume of gene expression data in open data repositories such as the N...

journal_title：BMC bioinformatics

authors： Gower AC,Spira A,Lenburg ME

更新日期：2011-09-27 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:Identification of transcription factors (TFs) responsible for modulation of differentially expressed genes is a key step in deducing gene regulatory pathways. Most current methods identify TFs by searching for presence of DNA binding motifs in the promoter regions of co-regulated genes. However, this strateg...

journal_title：BMC bioinformatics

authors： Roy S,Heinrich K,Phan V,Berry MW,Homayouni R

更新日期：2011-10-18 00:00:00

abstract：BACKGROUND:The median of k≥3 genomes was originally defined to find a compromise genome indicative of a common ancestor. However, in gene order comparisons, the usual definitions based on minimizing the sum of distances to the input genomes lead to degenerate medians reflecting only one of the input genomes. "Near-medi...

journal_title：BMC bioinformatics

authors： Larlee CA,Brandts A,Sankoff D

更新日期：2016-12-15 00:00:00

abstract：BACKGROUND:RNA-seq is a powerful tool for measuring transcriptomes, especially for identifying differentially expressed genes or transcripts (DEGs) between sample groups. A number of methods have been developed for this task, and several evaluation studies have also been reported. However, those evaluations so far have...

journal_title：BMC bioinformatics

authors： Tang M,Sun J,Shimizu K,Kadota K

更新日期：2015-11-04 00:00:00

abstract：BACKGROUND:The lack of sufficient training data is the limiting factor for many Machine Learning applications in Computational Biology. If data is available for several different but related problem domains, Multitask Learning algorithms can be used to learn a model based on all available information. In Bioinformatics...

journal_title：BMC bioinformatics

authors： Widmer C,Toussaint NC,Altun Y,Rätsch G

更新日期：2010-10-26 00:00:00

abstract：BACKGROUND:As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of signaling pathways during disease development or therapeutic intervention would assist in drug development, design of therapy, and target ide...

journal_title：BMC bioinformatics

authors： Bidaut G,Suhre K,Claverie JM,Ochs MF

更新日期：2006-02-28 00:00:00