Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner.

abstract：BACKGROUND:Long short-term memory (LSTM) is one of the most attractive deep learning methods to learn time series or contexts of input data. Increasing studies, including biological sequence analyses in bioinformatics, utilize this architecture. Amino acid sequence profiles are widely used for bioinformatics studies, s...

journal_title：BMC bioinformatics

authors： Yamada KD,Kinoshita K

更新日期：2018-07-18 00:00:00

abstract：BACKGROUND:Protein function prediction is an important problem in the post-genomic era. Recent advances in experimental biology have enabled the production of vast amounts of protein-protein interaction (PPI) data. Thus, using PPI data to functionally annotate proteins has been extensively studied. However, most existi...

journal_title：BMC bioinformatics

authors： Xiong W,Liu H,Guan J,Zhou S

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Two important challenges in the analysis of molecular biology information are data (multi-omic information) integration and the detection of patterns across large scale molecular networks and sequences. They are are actually coupled beause the integration of omic information may provide better means to detec...

journal_title：BMC bioinformatics

authors： Bardozzo F,Lió P,Tagliaferri R

更新日期：2018-07-09 00:00:00

abstract：BACKGROUND:Blood pressure diseases have increasingly been identified as among the main factors threatening human health. How to accurately and conveniently measure blood pressure is the key to the implementation of effective prevention and control measures for blood pressure diseases. Traditional blood pressure measure...

journal_title：BMC bioinformatics

authors： Zhang B,Ren H,Huang G,Cheng Y,Hu C

更新日期：2019-02-28 00:00:00

abstract：BACKGROUND:Most human genes produce several transcripts with different exon contents by using alternative promoters, alternative polyadenylation sites and alternative splice sites. Much effort has been devoted to describing known gene transcripts through the development of numerous databases. Nevertheless, owing to the...

journal_title：BMC bioinformatics

authors： de la Grange P,Dutertre M,Correa M,Auboeuf D

更新日期：2007-06-04 00:00:00

abstract：BACKGROUND:In recent years, protein-protein interaction (PPI) networks have been well recognized as important resources to elucidate various biological processes and cellular mechanisms. In this paper, we address the problem of predicting protein complexes from a PPI network. This problem has two difficulties. One is r...

journal_title：BMC bioinformatics

authors： Maruyama O,Kuwahara Y

更新日期：2017-12-06 00:00:00

abstract：BACKGROUND:New sequencing techniques require new visualization strategies, as is the case for epigenomics data such as DNA base modifications, small non-coding RNAs, and histone modifications. RESULTS:We present a set of plugins for the genome browser JBrowse that are targeted for epigenomics visualizations. Specifica...

journal_title：BMC bioinformatics

authors： Hofmeister BT,Schmitz RJ

更新日期：2018-04-25 00:00:00

abstract：BACKGROUND:As molecular biology is creating an increasing amount of sequence and structure data, the multitude of software to analyze this data is also rising. Most of the programs are made for a specific task, hence the user often needs to combine multiple programs in order to reach a goal. This can make the data proc...

journal_title：BMC bioinformatics

authors： Kunzmann P,Hamacher K

更新日期：2018-10-01 00:00:00

abstract：BACKGROUND:MHC/HLA class II molecules are important components of the immune system and play a critical role in processes such as phagocytosis. Understanding peptide recognition properties of the hundreds of MHC class II alleles is essential to appreciate determinants of antigenicity and ultimately to predict epitopes....

journal_title：BMC bioinformatics

authors： Yeturu K,Utriainen T,Kemp GJ,Chandra N

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) are of great importance in cellular systems of organisms, since they are the basis of cellular structure and function and many essential cellular processes are related to that. Most proteins perform their functions by interacting with other proteins, so predicting PPIs acc...

journal_title：BMC bioinformatics

authors： Liu L,Zhu X,Ma Y,Piao H,Yang Y,Hao X,Fu Y,Wang L,Peng J

更新日期：2020-12-16 00:00:00

abstract：BACKGROUND:The rate of protein structures being deposited in the Protein Data Bank surpasses the capacity to experimentally characterise them and therefore computational methods to analyse these structures have become increasingly important. Identifying the region of the protein most likely to be involved in function i...

journal_title：BMC bioinformatics

authors： Bray T,Chan P,Bougouffa S,Greaves R,Doig AJ,Warwicker J

更新日期：2009-11-18 00:00:00

abstract：BACKGROUND:Cross-species comparisons of gene neighborhoods (also called genomic contexts) in microbes may provide insight into determining functionally related or co-regulated sets of genes, suggest annotations of previously un-annotated genes, and help to identify horizontal gene transfer events across microbial speci...

journal_title：BMC bioinformatics

authors： Seitzer P,Huynh TA,Facciotti MT

更新日期：2013-01-16 00:00:00

abstract：BACKGROUND:Ensemble predictors such as the random forest are known to have superior accuracy but their black-box predictions are difficult to interpret. In contrast, a generalized linear model (GLM) is very interpretable especially when forward feature selection is used to construct the model. However, forward feature ...

journal_title：BMC bioinformatics

authors： Song L,Langfelder P,Horvath S

更新日期：2013-01-16 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: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:The main goal of the whole transcriptome analysis is to correctly identify all expressed transcripts within a specific cell/tissue--at a particular stage and condition--to determine their structures and to measure their abundances. RNA-seq data promise to allow identification and quantification of transcript...

journal_title：BMC bioinformatics

authors： Angelini C,De Canditiis D,De Feis I

更新日期：2014-05-09 00:00:00

abstract：: ...

journal_title：BMC bioinformatics

authors： Wren JD,Doerkson RJ,Toby IT,Nanduri B,Homayouni R,Manda P,Thakkar S

更新日期：2019-03-14 00:00:00

abstract：BACKGROUND:One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because profiles are built from sequence alignments, the sequences included in the alignment and the method used to align them will be important to th...

journal_title：BMC bioinformatics

authors： Scheeff ED,Bourne PE

更新日期：2006-09-14 00:00:00

abstract：BACKGROUND:Deep mutational scanning is a technique to estimate the impacts of mutations on a gene by using deep sequencing to count mutations in a library of variants before and after imposing a functional selection. The impacts of mutations must be inferred from changes in their counts after selection. RESULTS:I desc...

journal_title：BMC bioinformatics

authors： Bloom JD

更新日期：2015-05-20 00:00:00

abstract：BACKGROUND:In omics data integration studies, it is common, for a variety of reasons, for some individuals to not be present in all data tables. Missing row values are challenging to deal with because most statistical methods cannot be directly applied to incomplete datasets. To overcome this issue, we propose a multip...

journal_title：BMC bioinformatics

authors： Voillet V,Besse P,Liaubet L,San Cristobal M,González I

更新日期：2016-10-03 00:00:00

abstract：BACKGROUND:X-converting enzyme (XCE) involved in nervous control of respiration, is a member of the M13 family of zinc peptidases, for which no natural substrate has been identified yet. In contrast, it's well characterized homologue endothelin-converting enzyme-1 (ECE-1) showed broad substrate specificity and acts as ...

journal_title：BMC bioinformatics

authors： Ul-Haq Z,Iqbal S,Moin ST

更新日期：2012-11-01 00:00:00

abstract：BACKGROUND:Pre-processing methods for two-sample long oligonucleotide arrays, specifically the Agilent technology, have not been extensively studied. The goal of this study is to quantify some of the sources of error that affect measurement of expression using Agilent arrays and to compare Agilent's Feature Extraction ...

journal_title：BMC bioinformatics

authors： Zahurak M,Parmigiani G,Yu W,Scharpf RB,Berman D,Schaeffer E,Shabbeer S,Cope L

更新日期：2007-05-01 00:00:00

abstract：BACKGROUND:Given a set of t n-length DNA sequences, q satisfying 0 < q ≤ 1, and l and d satisfying 0 ≤ d < l < n, the quorum planted motif search (qPMS) finds l-length strings that occur in at least qt input sequences with up to d mismatches and is mainly used to locate transcription factor binding sites in DNA sequenc...

journal_title：BMC bioinformatics

authors： Yu Q,Wei D,Huo H

更新日期：2018-06-18 00:00:00

abstract：BACKGROUND:Predicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioinformatics tools, easy to use and able to provide automatic and reliable annotations at a genomic sc...

journal_title：BMC bioinformatics

authors： Falda M,Toppo S,Pescarolo A,Lavezzo E,Di Camillo B,Facchinetti A,Cilia E,Velasco R,Fontana P

更新日期：2012-03-28 00:00:00

abstract：BACKGROUND:HIV/AIDS is a serious threat to public health. The emergence of drug resistance mutations diminishes the effectiveness of drug therapy for HIV/AIDS. Developing a computational prediction of drug resistance phenotype will enable efficient and timely selection of the best treatment regimens. RESULTS:A unified...

journal_title：BMC bioinformatics

authors： Shen C,Yu X,Harrison RW,Weber IT

更新日期：2016-08-31 00:00:00

abstract：BACKGROUND:Phylogenetic trees are an important tool to study the evolutionary relationships among organisms. The huge amount of available taxa poses difficulties in their interactive visualization. This hampers the interaction with the users to provide feedback for the further improvement of the taxonomic framework. R...

journal_title：BMC bioinformatics

authors： Beccati A,Gerken J,Quast C,Yilmaz P,Glöckner FO

更新日期：2017-09-30 00:00:00

abstract：BACKGROUND:There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, such as SSU rRNA gene sequences, now plays a more prominent role in microbial systematics than does phenotypic information. However, the integrat...

journal_title：BMC bioinformatics

authors： Tanaka N,Uchino M,Miyazaki S,Sugawara H

更新日期：2007-08-02 00:00:00

abstract：BACKGROUND:Finding common molecular interactions from different samples is essential work to understanding diseases and other biological processes. Coexpression networks and their modules directly reflect sample-specific interactions among genes. Therefore, identification of common coexpression network or modules may r...

journal_title：BMC bioinformatics

authors： Jo Y,Kim S,Lee D

更新日期：2018-06-13 00:00:00

abstract：BACKGROUND:A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compositions and 8 physicochemical properties data are used as conditional attributes for the construction of decision system. After reducing the de...

journal_title：BMC bioinformatics

authors： Cao Y,Liu S,Zhang L,Qin J,Wang J,Tang K

更新日期：2006-01-14 00:00:00

abstract：BACKGROUND:The continuous flow of EST data remains one of the richest sources for discoveries in modern biology. The first step in EST data mining is usually associated with EST clustering, the process of grouping of original fragments according to their annotation, similarity to known genomic DNA or each other. Cluste...

journal_title：BMC bioinformatics

authors： Ptitsyn A,Hide W

更新日期：2005-07-15 00:00:00