DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM.

abstract：BACKGROUND:Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data flow involves heuristics with large seed indexes. In order to speed up this technique, the index can be enhanced by storing additional informa...

journal_title：BMC bioinformatics

authors： Peterlongo P,Noé L,Lavenier D,Nguyen VH,Kucherov G,Giraud M

更新日期：2008-12-16 00:00:00

abstract：BACKGROUND:Microbial genomes contain an abundance of genes with conserved proximity forming clusters on the chromosome. However, the conservation can be a result of many factors such as vertical inheritance, or functional selection. Thus, identification of conserved gene clusters that are under functional selection pro...

journal_title：BMC bioinformatics

authors： Zheng Y,Anton BP,Roberts RJ,Kasif S

更新日期：2005-10-03 00:00:00

abstract：BACKGROUND:Handling the vast amount of gene expression data generated by genome-wide transcriptional profiling techniques is a challenging task, demanding an informed combination of pre-processing, filtering and analysis methods if meaningful biological conclusions are to be drawn. For example, a range of traditional s...

journal_title：BMC bioinformatics

authors： Ibrahim M,Jassim S,Cawthorne MA,Langlands K

更新日期：2014-11-04 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:In many biomedical applications, there is a need for developing classification models based on noisy annotations. Recently, various methods addressed this scenario by relaying on unreliable annotations obtained from multiple sources. RESULTS:We proposed a probabilistic classification algorithm based on labe...

journal_title：BMC bioinformatics

authors： Zhang P,Cao W,Obradovic Z

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Structural variants (SVs) in human genomes are implicated in a variety of human diseases. Long-read sequencing delivers much longer read lengths than short-read sequencing and may greatly improve SV detection. However, due to the relatively high cost of long-read sequencing, it is unclear what coverage is ne...

journal_title：BMC bioinformatics

authors： Fang L,Hu J,Wang D,Wang K

更新日期：2018-05-23 00:00:00

abstract：BACKGROUND:Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from sequence alignments, which often involves some sort of correction for multiple substitutions. The problem is to accurately estimate the number...

journal_title：BMC bioinformatics

authors： Sonnhammer EL,Hollich V

更新日期：2005-04-27 00:00:00

abstract：BACKGROUND:The NTF2-like superfamily is a versatile group of protein domains sharing a common fold. The sequences of these domains are very diverse and they share no common sequence motif. These domains serve a range of different functions within the proteins in which they are found, including both catalytic and non-ca...

journal_title：BMC bioinformatics

authors： Eberhardt RY,Chang Y,Bateman A,Murzin AG,Axelrod HL,Hwang WC,Aravind L

更新日期：2013-11-19 00:00:00

abstract：BACKGROUND:Quantitative polymerase chain reaction (qPCR) is the technique of choice for quantifying gene expression. While the technique itself is well established, approaches for the analysis of qPCR data continue to improve. RESULTS:Here we expand on the common base method to develop procedures for testing linear re...

journal_title：BMC bioinformatics

authors： Ganger MT,Dietz GD,Headley P,Ewing SJ

更新日期：2020-09-29 00:00:00

abstract：BACKGROUND:Stable isotope tracing can follow individual atoms through metabolic transformations through the detection of the incorporation of stable isotope within metabolites. This resulting data can be interpreted in terms related to metabolic flux. However, detection of a stable isotope in metabolites by mass spectr...

journal_title：BMC bioinformatics

authors： Jin H,Moseley HNB

更新日期：2019-10-28 00:00:00

abstract：BACKGROUND:A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined with physico-chemical properties of the site since the conformation, size and chemical composition of the protein surface are all relevant for ...

journal_title：BMC bioinformatics

authors： Bertolazzi P,Guerra C,Liuzzi G

更新日期：2010-09-29 00:00:00

abstract：BACKGROUND:The canonical code, although prevailing in complex genomes, is not universal. It was shown the canonical genetic code superior robustness compared to random codes, but it is not clearly determined how it evolved towards its current form. The error minimization theory considers the minimization of point mutat...

journal_title：BMC bioinformatics

authors： Santos J,Monteagudo Á

更新日期：2017-03-27 00:00:00

abstract：BACKGROUND:Single-pass, partial sequencing of complementary DNA (cDNA) libraries generates thousands of chromatograms that are processed into high quality expressed sequence tags (ESTs), and then assembled into contigs representative of putative genes. Usually, to be of value, ESTs and contigs must be associated with m...

journal_title：BMC bioinformatics

authors： Kumar CG,LeDuc R,Gong G,Roinishivili L,Lewin HA,Liu L

更新日期：2004-11-04 00:00:00

abstract：BACKGROUND:Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters. However, in the literature there is little work dedicated to this area of research. On...

journal_title：BMC bioinformatics

authors： Yuan Y,Li CT,Wilson R

更新日期：2008-06-18 00:00:00

abstract：BACKGROUND:Relative isotope abundance quantification, which can be used for peptide identification and differential peptide quantification, plays an important role in liquid chromatography-mass spectrometry (LC-MS)-based proteomics. However, several major issues exist in the relative isotopic quantification of peptides...

journal_title：BMC bioinformatics

authors： Haskins WE,Petritis K,Zhang J

更新日期：2011-03-15 00:00:00

abstract：BACKGROUND:In microarray data analysis, factors such as data quality, biological variation, and the increasingly multi-layered nature of more complex biological systems complicates the modelling of regulatory networks that can represent and capture the interactions among genes. We believe that the use of multiple datas...

journal_title：BMC bioinformatics

authors： Anvar SY,'t Hoen PA,Tucker A

更新日期：2010-01-15 00:00:00

abstract：BACKGROUND:Alternative splicing is the critical process in a single gene coding, which removes introns and joins exons, and splicing branchpoints are indicators for the alternative splicing. Wet experiments have identified a great number of human splicing branchpoints, but many branchpoints are still unknown. In order ...

journal_title：BMC bioinformatics

authors： Zhang W,Zhu X,Fu Y,Tsuji J,Weng Z

更新日期：2017-12-01 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:Microevolution is the study of short-term changes of alleles within a population and their effects on the phenotype of organisms. The result of the below-species-level evolution is heterogeneity, where populations consist of subpopulations with a large number of structural variations. Heterogeneity analysis ...

journal_title：BMC bioinformatics

authors： Yu G

更新日期：2010-10-12 00:00:00

abstract：BACKGROUND:The analysis of DNA copy number variants (CNV) has increasing impact in the field of genetic diagnostics and research. However, the interpretation of CNV data derived from high resolution array CGH or NGS platforms is complicated by the considerable variability of the human genome. Therefore, tools for multi...

journal_title：BMC bioinformatics

authors： Tebel K,Boldt V,Steininger A,Port M,Ebert G,Ullmann R

更新日期：2017-01-06 00:00:00

abstract：BACKGROUND:The traditional phylogeny analysis within gene family is mainly based on DNA or amino acid sequence homologies. However, these phylogenetic tree analyses are not suitable for those "non-traditional" gene families like microRNA with very short sequences. For the normal protein-coding gene families, low bootst...

journal_title：BMC bioinformatics

authors： Cai B,Yang X,Tuskan GA,Cheng ZM

更新日期：2011-03-18 00:00:00

abstract：BACKGROUND:The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the interpretation of cellular phenotypes in different experimental conditions has been dependent upon the expert opinions of well-trained biologist...

journal_title：BMC bioinformatics

authors： Yin Z,Zhou X,Bakal C,Li F,Sun Y,Perrimon N,Wong ST

更新日期：2008-06-05 00:00:00

abstract：BACKGROUND:The biological network is highly dynamic. Functional relations between genes can be activated or deactivated depending on the biological conditions. On the genome-scale network, subnetworks that gain or lose local expression consistency may shed light on the regulatory mechanisms related to the changing biol...

journal_title：BMC bioinformatics

authors： Lu J,Lu Y,Ding Y,Xiao Q,Liu L,Cai Q,Kong Y,Bai Y,Yu T

更新日期：2019-12-24 00:00:00

abstract：BACKGROUND:Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets. However, its estimated loading vectors are non-sparse, which presents challenge...

journal_title：BMC bioinformatics

authors： Min EJ,Long Q

更新日期：2020-04-15 00:00:00

abstract：BACKGROUND:Although many genomic features have been used in the prediction of protein-protein interactions (PPIs), frequently only one is used in a computational method. After realizing the limited power in the prediction using only one genomic feature, investigators are now moving toward integration. So far, there hav...

journal_title：BMC bioinformatics

authors： Sun J,Sun Y,Ding G,Liu Q,Wang C,He Y,Shi T,Li Y,Zhao Z

更新日期：2007-10-26 00:00:00

abstract：BACKGROUND:XHMM is a widely used tool for copy-number variant (CNV) discovery from whole exome sequencing data but can require hours to days to run for large cohorts. A more scalable implementation would reduce the need for specialized computational resources and enable increased exploration of the configuration parame...

journal_title：BMC bioinformatics

authors： Linderman MD,Chia D,Wallace F,Nothaft FA

更新日期：2019-10-11 00:00:00

abstract：BACKGROUND:Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the two main drug discovery methods for now, which have successfully discovered a series of drugs. However, development of new drugs is still an extremely...

journal_title：BMC bioinformatics

authors： Sang S,Yang Z,Wang L,Liu X,Lin H,Wang J

更新日期：2018-05-30 00:00:00

abstract：BACKGROUND:Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sampling based technique for TFBS discovery is attempted through an approach that is widely known, but which has never been investigated before:...

journal_title：BMC bioinformatics

authors： Shida K

更新日期：2006-11-04 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:A cross-correlation (XCorr) score function is one of the most popular score functions utilized to search peptide identifications in databases, and many computer programs, such as SEQUEST, Comet, and Tide, currently use this score function. Recently, the HiXCorr algorithm was developed to speed up this score ...

journal_title：BMC bioinformatics

authors： Kim H,Han S,Um JH,Park K

更新日期：2018-12-12 00:00:00