IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning.

abstract：BACKGROUND:Despite the widespread use of high throughput expression platforms and the availability of a desktop implementation of Gene Set Enrichment Analysis (GSEA) that enables non-experts to perform gene set based analyses, the availability of the necessary precompiled gene sets is rare for species other than human....

journal_title：BMC bioinformatics

authors： Powell JA

更新日期：2014-05-17 00:00:00

abstract：BACKGROUND:As whole-genome sequencing is becoming a routine technique, it is important to identify a cost-effective depth of sequencing for such studies. However, the relationship between sequencing depth and biological results from the aspects of whole-genome coverage, variant discovery power and the quality of varian...

journal_title：BMC bioinformatics

authors： Jiang Y,Jiang Y,Wang S,Zhang Q,Ding X

更新日期：2019-11-08 00:00:00

abstract：BACKGROUND:Study on long non-coding RNAs (lncRNAs) has been promoted by high-throughput RNA sequencing (RNA-Seq). However, it is still not trivial to identify lncRNAs from the RNA-Seq data and it remains a challenge to uncover their functions. RESULTS:We present a computational pipeline for detecting novel lncRNAs fro...

journal_title：BMC bioinformatics

authors： Sun L,Zhang Z,Bailey TL,Perkins AC,Tallack MR,Xu Z,Liu H

更新日期：2012-12-13 00:00:00

abstract：BACKGROUND:The adaptation of the CRISPR-Cas9 system to pooled library gene knockout screens in mammalian cells represents a major technological leap over RNA interference, the prior state of the art. New methods for analyzing the data and evaluating results are needed. RESULTS:We offer BAGEL (Bayesian Analysis of Gene...

journal_title：BMC bioinformatics

authors： Hart T,Moffat J

更新日期：2016-04-16 00:00:00

abstract：BACKGROUND:Biomedical processes can provide essential information about the (mal-) functioning of an organism and are thus frequently represented in biomedical terminologies and ontologies, including the GO Biological Process branch. These processes often need to be described and categorised in terms of their attribute...

journal_title：BMC bioinformatics

authors： Andrade AQ,Blondé W,Hastings J,Schulz S

更新日期：2012-08-28 00:00:00

abstract：BACKGROUND:Network enrichment analysis is a powerful method, which allows to integrate gene enrichment analysis with the information on relationships between genes that is provided by gene networks. Existing tests for network enrichment analysis deal only with undirected networks, they can be computationally slow and a...

journal_title：BMC bioinformatics

authors： Signorelli M,Vinciotti V,Wit EC

更新日期：2016-09-05 00:00:00

abstract：BACKGROUND:New "next generation" DNA sequencing technologies offer individual researchers the ability to rapidly generate large amounts of genome sequence data at dramatically reduced costs. As a result, a need has arisen for new software tools for storage, management and analysis of genome sequence data. Although bioi...

journal_title：BMC bioinformatics

authors： Duncan S,Sirkanungo R,Miller L,Phillips GJ

更新日期：2010-02-22 00:00:00

abstract：BACKGROUND:Antibodies revolutionized cancer treatment over the past decades. Despite their successfully application, there are still challenges to overcome to improve efficacy, such as the heterogeneous distribution of antibodies within tumors. Tumor microenvironment features, such as the distribution of tumor and othe...

journal_title：BMC bioinformatics

authors： Cartaxo AL,Almeida J,Gualda EJ,Marsal M,Loza-Alvarez P,Brito C,Isidro IA

更新日期：2020-11-17 00:00:00

abstract：BACKGROUND:With the development of sequencing technologies, more and more sequence variants are available for investigation. Different classes of variants in the human genome have been identified, including single nucleotide substitutions, insertion and deletion, and large structural variations such as duplications and...

journal_title：BMC bioinformatics

authors： Liu M,Watson LT,Zhang L

更新日期：2014-01-09 00:00:00

abstract：BACKGROUND:High-throughput sequencing has rapidly become an essential part of precision cancer medicine. But validating results obtained from analyzing and interpreting genomic data remains a rate-limiting factor. The gold standard, of course, remains manual validation by expert panels, which is not without its weaknes...

journal_title：BMC bioinformatics

authors： Bian X,Zhu B,Wang M,Hu Y,Chen Q,Nguyen C,Hicks B,Meerzaman D

更新日期：2018-11-19 00:00:00

abstract：BACKGROUND:Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much debate on the best ways to process data, to design experiments and analyse the output. Furthermore, many of the more sophisticated mathematica...

journal_title：BMC bioinformatics

authors： Chain B,Bowen H,Hammond J,Posch W,Rasaiyaah J,Tsang J,Noursadeghi M

更新日期：2010-06-24 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:The incorporation of biological knowledge can enhance the analysis of biomedical data. We present a novel method that uses a proteomic knowledge base to enhance the performance of a rule-learning algorithm in identifying putative biomarkers of disease from high-dimensional proteomic mass spectral data. In pa...

journal_title：BMC bioinformatics

authors： Lustgarten JL,Visweswaran S,Bowser RP,Hogan WR,Gopalakrishnan V

更新日期：2009-09-17 00:00:00

abstract：BACKGROUND:Protein structure comparison is a fundamental task in structural biology. While the number of known protein structures has grown rapidly over the last decade, searching a large database of protein structures is still relatively slow using existing methods. There is a need for new techniques which can rapidly...

journal_title：BMC bioinformatics

authors： Zhang L,Bailey J,Konagurthu AS,Ramamohanarao K

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:Identification of the recombination hot/cold spots is critical for understanding the mechanism of recombination as well as the genome evolution process. However, experimental identification of recombination spots is both time-consuming and costly. Developing an accurate and automated method for reliably and ...

journal_title：BMC bioinformatics

authors： Li L,Yu S,Xiao W,Li Y,Huang L,Zheng X,Zhou S,Yang H

更新日期：2014-11-20 00:00:00

abstract：:The RNA polymerase NS5B of Hepatitis C virus (HCV) is a well-characterised drug target with an active site and four allosteric binding sites. This work presents a workflow for virtual screening and its application to Drug Bank screening targeting the Hepatitis C Virus (HCV) RNA polymerase non-nucleoside binding sites....

journal_title：BMC bioinformatics

authors： Elhefnawi M,ElGamacy M,Fares M

更新日期：2012-01-01 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 challenge of classifying cortical interneurons is yet to be solved. Data-driven classification into established morphological types may provide insight and practical value. RESULTS:We trained models using 217 high-quality morphologies of rat somatosensory neocortex interneurons reconstructed by a single...

journal_title：BMC bioinformatics

authors： Mihaljević B,Larrañaga P,Benavides-Piccione R,Hill S,DeFelipe J,Bielza C

更新日期：2018-12-17 00:00:00

abstract：BACKGROUND:Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a specific microarray experiment profits enormously from cross-comparing to other experiments. This process is generally performed by numerical ...

journal_title：BMC bioinformatics

authors： Finocchiaro G,Mancuso F,Muller H

更新日期：2005-12-01 00:00:00

abstract：BACKGROUND:Human immunology studies often rely on the isolation and quantification of cell populations from an input sample based on flow cytometry and related techniques. Such techniques classify cells into populations based on the detection of a pattern of markers. The description of the cell populations targeted in ...

journal_title：BMC bioinformatics

authors： Overton JA,Vita R,Dunn P,Burel JG,Bukhari SAC,Cheung KH,Kleinstein SH,Diehl AD,Peters B

更新日期：2019-04-25 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：: ...

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 AND GOAL:The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-friendly scientific fields. RESULTS:In this conte...

journal_title：BMC bioinformatics

authors： Couronné R,Probst P,Boulesteix AL

更新日期：2018-07-17 00:00:00

abstract：BACKGROUND:InterPro is a collection of protein signatures for the classification and automated annotation of proteins. Interproscan is a software tool that scans protein sequences against Interpro member databases using a variety of profile-based, hidden markov model and positional specific score matrix methods. It not...

journal_title：BMC bioinformatics

authors： Kelly RJ,Vincent DE,Friedberg I

更新日期：2010-12-21 00:00:00

abstract：BACKGROUND:Modules of interacting components arranged in specific network topologies have evolved to perform a diverse array of cellular functions. For a network with a constant topological structure, its function within a cell may still be tuned by changing the number of instances of a particular component (e.g., gene...

journal_title：BMC bioinformatics

authors： Shah NA,Sarkar CA

更新日期：2019-05-14 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:Clinical studies often track dose-response curves of subjects over time. One can easily model the dose-response curve at each time point with Hill equation, but such a model fails to capture the temporal evolution of the curves. On the other hand, one can use Gompertz equation to model the temporal behaviors...

journal_title：BMC bioinformatics

authors： Dhruba SR,Rahman A,Rahman R,Ghosh S,Pal R

更新日期：2019-06-20 00:00:00

abstract：BACKGROUND:Wise et al. introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. Levinson et al. recently described two generalizations of the GSMA statistic: (i) a weighted version of the GSMA statistic, so that different studies could be ascribed dif...

journal_title：BMC bioinformatics

authors： Koziol JA,Feng AC

更新日期：2005-02-17 00:00:00

abstract：BACKGROUND:Caspases are a family of proteases that have central functions in programmed cell death (apoptosis) and inflammation. Caspases mediate their effects through aspartate-specific cleavage of their target proteins, and at present almost 400 caspase substrates are known. There are several methods developed to pre...

journal_title：BMC bioinformatics

authors： Piippo M,Lietzén N,Nevalainen OS,Salmi J,Nyman TA

更新日期：2010-06-15 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are a class of endogenous regulatory small RNAs which play an important role in posttranscriptional regulations by targeting mRNAs for cleavage or translational repression. The base-pairing between the 5'-end of miRNA and the target mRNA 3'-UTRs is essential for the miRNA:mRNA recognition....

journal_title：BMC bioinformatics

authors： Gu J,Fu H,Zhang X,Li Y

更新日期：2007-11-08 00:00:00