MGC: a metagenomic gene caller.

abstract：BACKGROUND:Observed co-expression of a group of genes is frequently attributed to co-regulation by shared transcription factors. This assumption has led to the hypothesis that promoters of co-expressed genes should share common regulatory motifs, which forms the basis for numerous computational tools that search for th...

journal_title：BMC bioinformatics

authors： Meng G,Mosig A,Vingron M

更新日期：2010-05-20 00:00:00

abstract：BACKGROUND:Physical maps have been historically one of the cornerstones of genome sequencing and map-based cloning strategies. They also support marker assisted breeding and EST mapping. The problem of building a high quality physical map is computationally challenging due to unavoidable noise in the input fingerprint ...

journal_title：BMC bioinformatics

authors： Bozdag S,Close TJ,Lonardi S

更新日期：2009-07-15 00:00:00

abstract：BACKGROUND:Computational and visual data analysis for genomics has traditionally involved a combination of tools and resources, of which the most ubiquitous consist of genome browsers, focused mainly on integrative visualization of large numbers of big datasets, and computational environments, focused on data modeling ...

journal_title：BMC bioinformatics

authors： Chelaru F,Corrada Bravo H

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:Determining differentially expressed genes (DEGs) between biological samples is the key to understand how genotype gives rise to phenotype. RNA-seq and microarray are two main technologies for profiling gene expression levels. However, considerable discrepancy has been found between DEGs detected using the t...

journal_title：BMC bioinformatics

authors： Lyu Y,Li Q

更新日期：2016-01-11 00:00:00

abstract：BACKGROUND:Genome-wide expression quantitative trait loci (eQTL) studies have emerged as a powerful tool to understand the genetic basis of gene expression and complex traits. The traditional eQTL methods focus on testing the associations between individual single-nucleotide polymorphisms (SNPs) and gene expression tra...

journal_title：BMC bioinformatics

authors： Cheng W,Shi Y,Zhang X,Wang W

更新日期：2015-01-16 00:00:00

abstract：BACKGROUND:Existing large-scale metabolic models of sequenced organisms commonly include enzymatic functions which can not be attributed to any gene in that organism. Existing computational strategies for identifying such missing genes rely primarily on sequence homology to known enzyme-encoding genes. RESULTS:We pres...

journal_title：BMC bioinformatics

authors： Kharchenko P,Chen L,Freund Y,Vitkup D,Church GM

更新日期：2006-03-29 00:00:00

abstract：BACKGROUND:Cellular functions are coordinately carried out by groups of genes forming functional modules. Identifying such modules in the transcriptional regulatory network (TRN) of organisms is important for understanding the structure and function of these fundamental cellular networks and essential for the emerging ...

journal_title：BMC bioinformatics

authors： Ma HW,Buer J,Zeng AP

更新日期：2004-12-16 00:00:00

abstract：BACKGROUND:The improvements in genomics methods coupled with readily accessible high-throughput sequencing have contributed to our understanding of microbial species, metagenomes, infectious diseases and more. To maximize the impact of these genomics studies, it is important that data from biological samples will becom...

journal_title：BMC bioinformatics

authors： Quiñones M,Liou DT,Shyu C,Kim W,Vujkovic-Cvijin I,Belkaid Y,Hurt DE

更新日期：2020-09-03 00:00:00

abstract：BACKGROUND:The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of biomedical knowledge in literature, which urges the development of t...

journal_title：BMC bioinformatics

authors： Jin B,Muller B,Zhai C,Lu X

更新日期：2008-12-08 00:00:00

abstract：BACKGROUND:Next Generation Sequencing (NGS) is a commonly used technology for studying the genetic basis of biological processes and it underpins the aspirations of precision medicine. However, there are significant challenges when dealing with NGS data. Firstly, a huge number of bioinformatics tools for a wide range o...

journal_title：BMC bioinformatics

authors： Iacoangeli A,Al Khleifat A,Sproviero W,Shatunov A,Jones AR,Morgan SL,Pittman A,Dobson RJ,Newhouse SJ,Al-Chalabi A

更新日期：2019-04-27 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:Modern plant taxonomy reflects phylogenetic relationships among taxa based on proposed morphological and genetic similarities. However, taxonomical relation is not necessarily reflected by close overall resemblance, but rather by commonality of very specific morphological characters or similarity on the mole...

journal_title：BMC bioinformatics

authors： Seeland M,Rzanny M,Boho D,Wäldchen J,Mäder P

更新日期：2019-01-03 00:00:00

abstract：BACKGROUND:We introduce the decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information (ProCKSI). ProCKSI integrates various protein similarity measures through an easy to use interface that allows the comparison of multiple proteins simultaneously. It employs the Universal Simila...

journal_title：BMC bioinformatics

authors： Barthel D,Hirst JD,Błazewicz J,Burke EK,Krasnogor N

更新日期：2007-10-26 00:00:00

abstract：BACKGROUND:Metabolomics, petroleum and biodiesel chemistry, biomarker discovery, and other fields which rely on high-resolution profiling of complex chemical mixtures generate datasets which contain millions of detector intensity readings, each uniquely addressed along dimensions of time (e.g., retention time of chemic...

journal_title：BMC bioinformatics

authors： Chae M,Shmookler Reis RJ,Thaden JJ

更新日期：2008-08-12 00:00:00

abstract：BACKGROUND:Network co-regulated modules are believed to have the functionality of packaging multiple biological entities, and can thus be assumed to coordinate many biological functions in their network neighbouring regions. RESULTS:Here, we weighted edges of a human protein interaction network and a transcriptional r...

journal_title：BMC bioinformatics

authors： Chen L,Wang H,Zhang L,Li W,Wang Q,Shang Y,He Y,He W,Li X,Tai J,Li X

更新日期：2010-07-22 00:00:00

abstract：BACKGROUND:It is now well established that nearly 20% of human cancers are caused by infectious agents, and the list of human oncogenic pathogens will grow in the future for a variety of cancer types. Whole tumor transcriptome and genome sequencing by next-generation sequencing technologies presents an unparalleled opp...

journal_title：BMC bioinformatics

authors： Borozan I,Wilson S,Blanchette P,Laflamme P,Watt SN,Krzyzanowski PM,Sircoulomb F,Rottapel R,Branton PE,Ferretti V

更新日期：2012-08-17 00:00:00

abstract：BACKGROUND:Mass spectrometry based peptide mass fingerprints (PMFs) offer a fast, efficient, and robust method for protein identification. A protein is digested (usually by trypsin) and its mass spectrum is compared to simulated spectra for protein sequences in a database. However, existing tools for analyzing PMFs oft...

journal_title：BMC bioinformatics

authors： Kaltenbach HM,Wilke A,Böcker S

更新日期：2007-03-26 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:In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as genomics, proteomics or transcriptomics. New information management systems are now needed for the collection, validation and analysis of the...

journal_title：BMC bioinformatics

authors： Thompson JD,Muller A,Waterhouse A,Procter J,Barton GJ,Plewniak F,Poch O

更新日期：2006-06-23 00:00:00

abstract：BACKGROUND:With continuing identification of novel structured noncoding RNAs, there is an increasing need to create schematic diagrams showing the consensus features of these molecules. RNA structural diagrams are typically made either with general-purpose drawing programs like Adobe Illustrator, or with automated or i...

journal_title：BMC bioinformatics

authors： Weinberg Z,Breaker RR

更新日期：2011-01-04 00:00:00

abstract：BACKGROUND:Most single stranded RNA (ssRNA) viruses mutate rapidly to generate large number of strains having highly divergent capsid sequences. Accurate strain recognition in uncharacterized target capsid sequences is essential for epidemiology, diagnostics, and vaccine development. Strain recognition based on similar...

journal_title：BMC bioinformatics

authors： Zhu D,Fox GE,Chakravarty S

更新日期：2007-10-10 00:00:00

abstract：BACKGROUND:Polychromatic flow cytometry is a popular technique that has wide usage in the medical sciences, especially for studying phenotypic properties of cells. The high-dimensionality of data generated by flow cytometry usually makes it difficult to visualize. The naive solution of simply plotting two-dimensional g...

journal_title：BMC bioinformatics

authors： Raj S,Hussain F,Husein Z,Torosdagli N,Turgut D,Deo N,Pattanaik S,Chang CJ,Jha SK

更新日期：2017-06-07 00:00:00

abstract：BACKGROUND:Analysis of sequence composition is a routine task in genome research. Organisms are characterized by their base composition, dinucleotide relative abundance, codon usage, and so on. Unique subsequences are markers of special interest in genome comparison, expression profiling, and genetic engineering. Relat...

journal_title：BMC bioinformatics

authors： Herold J,Kurtz S,Giegerich R

更新日期：2008-03-26 00:00:00

abstract：BACKGROUND:Biological data often originate from samples containing mixtures of subpopulations, corresponding e.g. to distinct cellular phenotypes. However, identification of distinct subpopulations may be difficult if biological measurements yield distributions that are not easily separable. RESULTS:We present Multire...

journal_title：BMC bioinformatics

authors： Feigelman J,Theis FJ,Marr C

更新日期：2014-07-11 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:Great strides have been made in the effective treatment of HIV-1 with the development of second-generation protease inhibitors (PIs) that are effective against historically multi-PI-resistant HIV-1 variants. Nevertheless, mutation patterns that confer decreasing susceptibility to available PIs continue to ar...

journal_title：BMC bioinformatics

authors： Doherty KM,Nakka P,King BM,Rhee SY,Holmes SP,Shafer RW,Radhakrishnan ML

更新日期：2011-12-15 00:00:00

abstract：BACKGROUND:Parsimony and maximum likelihood methods of phylogenetic tree estimation and parsimony methods for genome rearrangements are central to the study of genome evolution yet to date they have largely been pursued in isolation. RESULTS:We present a data structure called a history graph that offers a practical ba...

journal_title：BMC bioinformatics

authors： Paten B,Zerbino DR,Hickey G,Haussler D

更新日期：2014-06-19 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:Systematic mutagenesis studies have shown that only a few interface residues termed hot spots contribute significantly to the binding free energy of protein-protein interactions. Therefore, hot spots prediction becomes increasingly important for well understanding the essence of proteins interactions and hel...

journal_title：BMC bioinformatics

authors： Chen R,Chen W,Yang S,Wu D,Wang Y,Tian Y,Shi Y

更新日期：2011-07-29 00:00:00

abstract：BACKGROUND:High-throughput technology allows for genome-wide measurements at different molecular levels for the same patient, e.g. single nucleotide polymorphisms (SNPs) and gene expression. Correspondingly, it might be beneficial to also integrate complementary information from different molecular levels when building...

journal_title：BMC bioinformatics

authors： Hieke S,Benner A,Schlenl RF,Schumacher M,Bullinger L,Binder H

更新日期：2016-08-30 00:00:00