ProMEX: a mass spectral reference database for proteins and protein phosphorylation sites.

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：BACKGROUNDS:Next-Generation Sequencing (NGS) is now widely used in biomedical research for various applications. Processing of NGS data requires multiple programs and customization of the processing pipelines according to the data platforms. However, rapid progress of the NGS applications and processing methods urgentl...

journal_title：BMC bioinformatics

authors： Joo T,Choi JH,Lee JH,Park SE,Jeon Y,Jung SH,Woo HG

更新日期：2019-02-20 00:00:00

abstract：BACKGROUND:Dihydrouridine (D) is a modified base found in conserved positions in the D-loop of tRNA in Bacteria, Eukaryota, and some Archaea. Despite the abundant occurrence of D, little is known about its biochemical roles in mediating tRNA function. It is assumed that D may destabilize the structure of tRNA and thus ...

journal_title：BMC bioinformatics

authors： Kasprzak JM,Czerwoniec A,Bujnicki JM

更新日期：2012-06-28 00:00:00

abstract：BACKGROUND:Alignment-free methods for comparing protein sequences have proved to be viable alternatives to approaches that first rely on an alignment of the sequences to be compared. Much work however need to be done before those methods provide reliable fold recognition for proteins whose sequences share little simila...

journal_title：BMC bioinformatics

authors： Nojoomi S,Koehl P

更新日期：2017-08-25 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:Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive model, it is important to know what properties of an oligonucleotide sequence associate significantly with antisense activity. Also, for the m...

journal_title：BMC bioinformatics

authors： McQuisten KA,Peek AS

更新日期：2007-06-07 00:00:00

abstract：BACKGROUND:S-glutathionylation is the formation of disulfide bonds between the tripeptide glutathione and cysteine residues of the protein, protecting them from irreversible oxidation and in some cases causing change in their functions. Regulatory glutathionylation of proteins is a controllable and reversible process a...

journal_title：BMC bioinformatics

authors： Anashkina AA,Poluektov YM,Dmitriev VA,Kuznetsov EN,Mitkevich VA,Makarov AA,Petrushanko IY

更新日期：2020-09-14 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: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：:Shotgun proteomics has recently emerged as a powerful approach to characterizing proteomes in biological samples. Its overall objective is to identify the form and quantity of each protein in a high-throughput manner by coupling liquid chromatography with tandem mass spectrometry. As a consequence of its high throughp...

journal_title：BMC bioinformatics

authors： Li YF,Radivojac P

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Schizophrenia, bipolar disorder, and major depression are devastating mental diseases, each with distinctive yet overlapping epidemiologic characteristics. Microarray and proteomics data have revealed genes which expressed abnormally in patients. Several single nucleotide polymorphisms (SNPs) and mutations a...

journal_title：BMC bioinformatics

authors： Lee SA,Tsao TT,Yang KC,Lin H,Kuo YL,Hsu CH,Lee WK,Huang KC,Kao CY

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:Drug combinations have the potential to improve efficacy while limiting toxicity. To robustly identify synergistic combinations, high-throughput screens using full dose-response surface are desirable but require an impractical number of data points. Screening of a sparse number of doses per drug allows to sc...

journal_title：BMC bioinformatics

authors： Amzallag A,Ramaswamy S,Benes CH

更新日期：2019-02-18 00:00:00

abstract：BACKGROUND:Tiling-arrays are applicable to multiple types of biological research questions. Due to its advantages (high sensitivity, resolution, unbiased), the technology is often employed in genome-wide investigations. A major challenge in the analysis of tiling-array data is to define regions-of-interest, i.e., conti...

journal_title：BMC bioinformatics

authors： Taskesen E,Beekman R,de Ridder J,Wouters BJ,Peeters JK,Touw IP,Reinders MJ,Delwel R

更新日期：2010-05-21 00:00:00

abstract：BACKGROUND:Structural interaction frequency matrices between all genome loci are now experimentally achievable thanks to high-throughput chromosome conformation capture technologies. This ensues a new methodological challenge for computational biology which consists in objectively extracting from these data the structu...

journal_title：BMC bioinformatics

authors： Boulos RE,Tremblay N,Arneodo A,Borgnat P,Audit B

更新日期：2017-04-11 00:00:00

abstract：BACKGROUND:The diagnosis of many diseases can be often formulated as a decision problem; uncertainty affects these problems so that many computerized Diagnostic Decision Support Systems (in the following, DDSSs) have been developed to aid the physician in interpreting clinical data and thus to improve the quality of th...

journal_title：BMC bioinformatics

authors： d'Acierno A,Esposito M,De Pietro G

更新日期：2013-01-01 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:A fundamental fact in biology states that genes do not operate in isolation, and yet, methods that infer regulatory networks for single cell gene expression data have been slow to emerge. With single cell sequencing methods now becoming accessible, general network inference algorithms that were initially dev...

journal_title：BMC bioinformatics

authors： Chen S,Mar JC

更新日期：2018-06-19 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:Extant genomes share regions where genes have the same order and orientation, which are thought to arise from the conservation of an ancestral order of genes during evolution. Such regions of so-called conserved synteny, or synteny blocks, must be precisely identified and quantified, as a prerequisite to bet...

journal_title：BMC bioinformatics

authors： Lucas JM,Muffato M,Roest Crollius H

更新日期：2014-08-08 00:00:00

abstract：BACKGROUND:Patient records contain valuable information regarding explanation of diagnosis, progression of disease, prescription and/or effectiveness of treatment, and more. Automatic recognition of clinically important concepts and the identification of relationships between those concepts in patient records are preli...

journal_title：BMC bioinformatics

authors： Islamaj Doğan R,Névéol A,Lu Z

更新日期：2011-06-09 00:00:00

abstract：BACKGROUND:Peptidases are proteolytic enzymes responsible for fundamental cellular activities in all organisms. Apparently about 2-5% of the genes encode for peptidases, irrespectively of the organism source. The basic peptidase function is "protein digestion" and this can be potentially dangerous in living organisms w...

journal_title：BMC bioinformatics

authors： Bartoli L,Calabrese R,Fariselli P,Mita DG,Casadio R

更新日期：2007-03-08 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：:Following publication of the original article [1], the author reported that there are several errors in the original article. ...

journal_title：BMC bioinformatics

authors： Ranjard L,Wong TKF,Rodrigo AG

更新日期：2020-01-22 00:00:00

abstract：BACKGROUND:In this study, we extended the replica exchange Monte Carlo (REMC) sampling method to protein-small molecule docking conformational prediction using RosettaLigand. In contrast to the traditional Monte Carlo (MC) and REMC sampling methods, these methods use multi-objective optimization Pareto front informatio...

journal_title：BMC bioinformatics

authors： Wang H,Liu H,Cai L,Wang C,Lv Q

更新日期：2017-07-10 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：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:It is possible to predict whether a tuberculosis (TB) patient will fail to respond to specific antibiotics by sequencing the genome of the infecting Mycobacterium tuberculosis (Mtb) and observing whether the pathogen carries specific mutations at drug-resistance sites. This advancement has led to the collati...

journal_title：BMC bioinformatics

authors： Ngo TM,Teo YY

更新日期：2019-02-08 00:00:00

abstract：BACKGROUND:A standard procedure in many areas of bioinformatics is to use a multiple sequence alignment (MSA) as the basis for various types of homology-based inference. Applications include 3D structure modelling, protein functional annotation, prediction of molecular interactions, etc. These applications, however sop...

journal_title：BMC bioinformatics

authors： Vanhoutreve R,Kress A,Legrand B,Gass H,Poch O,Thompson JD

更新日期：2016-07-07 00:00:00

abstract：BACKGROUND:Reverse engineering of transcriptional regulatory networks (TRN) from genomics data has always represented a computational challenge in System Biology. The major issue is modeling the complex crosstalk among transcription factors (TFs) and their target genes, with a method able to handle both the high number...

journal_title：BMC bioinformatics

authors： Sauta E,Demartini A,Vitali F,Riva A,Bellazzi R

更新日期：2020-05-29 00:00:00

abstract：BACKGROUND:The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level probe intensities, then deriving significance by comparing these expression levels between conditions. The proposed PL-LM (Probe-Level Linear ...

journal_title：BMC bioinformatics

authors： Lemieux S

更新日期：2006-08-25 00:00:00