共查询到20条相似文献,搜索用时 968 毫秒
1.
Djie Tjwan Thung Joep de Ligt Lisenka EM Vissers Marloes Steehouwer Mark Kroon Petra de Vries Eline P Slagboom Kai Ye Joris A Veltman Jayne Y Hehir-Kwa 《Genome biology》2014,15(10)
Mobile elements are major drivers in changing genomic architecture and can cause disease. The detection of mobile elements is hindered due to the low mappability of their highly repetitive sequences. We have developed an algorithm, called Mobster, to detect non-reference mobile element insertions in next generation sequencing data from both whole genome and whole exome studies. Mobster uses discordant read pairs and clipped reads in combination with consensus sequences of known active mobile elements. Mobster has a low false discovery rate and high recall rate for both L1 and Alu elements. Mobster is available at http://sourceforge.net/projects/mobster.
Electronic supplementary material
The online version of this article (doi:10.1186/s13059-014-0488-x) contains supplementary material, which is available to authorized users. 相似文献2.
ArrayPlex is a software package that centrally provides a large number of flexible toolsets useful for functional genomics, including microarray data storage, quality assessments, data visualization, gene annotation retrieval, statistical tests, genomic sequence retrieval and motif analysis. It uses a client-server architecture based on open source components, provides graphical, command-line, and programmatic access to all needed resources, and is extensible by virtue of a documented application programming interface. ArrayPlex is available at http://sourceforge.net/projects/arrayplex/. 相似文献
3.
Shyamashree Banerjee Parth Sarthi Sen Gupta Arnab Nayek Sunit Das Vishma Pratap Sur Pratyay Seth Rifat Nawaz Ul Islam Amal K Bandyopadhyay 《Bioinformation》2015,11(7):366-368
AvailabilityPHYSICO2: is freely available at http://sourceforge.net/projects/physico2/ along with its documentation at
https://sourceforge.net/projects/physico2/files/Documentation.pdf/download for all users. 相似文献
4.
Arnab Nayek Parth Sarthi Sen Gupta Shyamashree Banerjee Vishma Pratap Sur Pratyay Seth Sunit Das Rifat Nawaz Ul Islam Amal Kumar Bandyopadhyay 《Bioinformation》2015,11(8):413-415
AvailabilityADSBET2 is freely available at http://sourceforge.net/projects/ADSBET2/ for all users. 相似文献
5.
Alberto Magi Lorenzo Tattini Ingrid Cifola Romina D’Aurizio Matteo Benelli Eleonora Mangano Cristina Battaglia Elena Bonora Ants Kurg Marco Seri Pamela Magini Betti Giusti Giovanni Romeo Tommaso Pippucci Gianluca De Bellis Rosanna Abbate Gian Franco Gensini 《Genome biology》2013,14(10):R120
We developed a novel software tool, EXCAVATOR, for the detection of copy number variants (CNVs) from whole-exome sequencing data. EXCAVATOR combines a three-step normalization procedure with a novel heterogeneous hidden Markov model algorithm and a calling method that classifies genomic regions into five copy number states. We validate EXCAVATOR on three datasets and compare the results with three other methods. These analyses show that EXCAVATOR outperforms the other methods and is therefore a valuable tool for the investigation of CNVs in largescale projects, as well as in clinical research and diagnostics. EXCAVATOR is freely available at http://sourceforge.net/projects/excavatortool/. 相似文献
6.
Haibin Xu Xiang Luo Jun Qian Xiaohui Pang Jingyuan Song Guangrui Qian Jinhui Chen Shilin Chen 《PloS one》2012,7(12)
The presence of duplicates introduced by PCR amplification is a major issue in paired short reads from next-generation sequencing platforms. These duplicates might have a serious impact on research applications, such as scaffolding in whole-genome sequencing and discovering large-scale genome variations, and are usually removed. We present FastUniq as a fast de novo tool for removal of duplicates in paired short reads. FastUniq identifies duplicates by comparing sequences between read pairs and does not require complete genome sequences as prerequisites. FastUniq is capable of simultaneously handling reads with different lengths and results in highly efficient running time, which increases linearly at an average speed of 87 million reads per 10 minutes. FastUniq is freely available at http://sourceforge.net/projects/fastuniq/. 相似文献
7.
8.
Parth Sarthi Sen Gupta Arnab Nayek Shyamashree Banerjee Pratyay Seth Sunit Das Vishma Pratap Sur Chittran Roy Amal Kumar Bandyopadhyay 《Bioinformation》2015,11(1):39-42
AvailabilitySBION2 is freely available at http://sourceforge.net/projects/sbion2/ for academic users 相似文献
9.
Luisa W. Hugerth Hugo A. Wefer Sverker Lundin Hedvig E. Jakobsson Mathilda Lindberg Sandra Rodin Lars Engstrand Anders F. Andersson 《Applied and environmental microbiology》2014,80(16):5116-5123
The taxonomic composition of a microbial community can be deduced by analyzing its rRNA gene content by, e.g., high-throughput DNA sequencing or DNA chips. Such methods typically are based on PCR amplification of rRNA gene sequences using broad-taxonomic-range PCR primers. In these analyses, the use of optimal primers is crucial for achieving an unbiased representation of community composition. Here, we present the computer program DegePrime that, for each position of a multiple sequence alignment, finds a degenerate oligomer of as high coverage as possible and outputs its coverage among taxonomic divisions. We show that our novel heuristic, which we call weighted randomized combination, performs better than previously described algorithms for solving the maximum coverage degenerate primer design problem. We previously used DegePrime to design a broad-taxonomic-range primer pair that targets the bacterial V3-V4 region (341F-805R) (D. P. Herlemann, M. Labrenz, K. Jurgens, S. Bertilsson, J. J. Waniek, and A. F. Andersson, ISME J. 5:1571–1579, 2011, http://dx.doi.org/10.1038/ismej.2011.41), and here we use the program to significantly increase the coverage of a primer pair (515F-806R) widely used for Illumina-based surveys of bacterial and archaeal diversity. By comparison with shotgun metagenomics, we show that the primers give an accurate representation of microbial diversity in natural samples. 相似文献
10.
Moaine El?Baidouri Kyung Do Kim Brian Abernathy Siwaret Arikit Florian Maumus Olivier Panaud Blake C. Meyers Scott A. Jackson 《Nucleic acids research》2015,43(13):e84
Transposable elements (TEs) are mobile genomic DNA sequences found in most organisms. They so densely populate the genomes of many eukaryotic species that they are often the major constituents. With the rapid generation of many plant genome sequencing projects over the past few decades, there is an urgent need for improved TE annotation as a prerequisite for genome-wide studies. Analogous to the use of RNA-seq for gene annotation, we propose a new method for de novo TE annotation that uses as a guide 24 nt-siRNAs that are a part of TE silencing pathways. We use this new approach, called TASR (for Transposon Annotation using Small RNAs), for de novo annotation of TEs in Arabidopsis, rice and soybean and demonstrate that this strategy can be successfully applied for de novo TE annotation in plants.Executable PERL is available for download from: http://tasr-pipeline.sourceforge.net/ 相似文献
11.
Robert K. Bradley Adam Roberts Michael Smoot Sudeep Juvekar Jaeyoung Do Colin Dewey Ian Holmes Lior Pachter 《PLoS computational biology》2009,5(5)
We describe a new program for the alignment of multiple biological sequences that is both statistically motivated and fast enough for problem sizes that arise in practice. Our Fast Statistical Alignment program is based on pair hidden Markov models which approximate an insertion/deletion process on a tree and uses a sequence annealing algorithm to combine the posterior probabilities estimated from these models into a multiple alignment. FSA uses its explicit statistical model to produce multiple alignments which are accompanied by estimates of the alignment accuracy and uncertainty for every column and character of the alignment—previously available only with alignment programs which use computationally-expensive Markov Chain Monte Carlo approaches—yet can align thousands of long sequences. Moreover, FSA utilizes an unsupervised query-specific learning procedure for parameter estimation which leads to improved accuracy on benchmark reference alignments in comparison to existing programs. The centroid alignment approach taken by FSA, in combination with its learning procedure, drastically reduces the amount of false-positive alignment on biological data in comparison to that given by other methods. The FSA program and a companion visualization tool for exploring uncertainty in alignments can be used via a web interface at http://orangutan.math.berkeley.edu/fsa/, and the source code is available at http://fsa.sourceforge.net/. 相似文献
12.
Ernest D Benavente Francesc Coll Nick Furnham Ruth McNerney Judith R Glynn Susana Campino Arnab Pain Fady R Mohareb Taane G Clark 《BMC bioinformatics》2015,16(1)
Background
Phylogenetic-based classification of M. tuberculosis and other bacterial genomes is a core analysis for studying evolutionary hypotheses, disease outbreaks and transmission events. Whole genome sequencing is providing new insights into the genomic variation underlying intra- and inter-strain diversity, thereby assisting with the classification and molecular barcoding of the bacteria. One roadblock to strain investigation is the lack of user-interactive solutions to interrogate and visualise variation within a phylogenetic tree setting.Results
We have developed a web-based tool called PhyTB (http://pathogenseq.lshtm.ac.uk/phytblive/index.php) to assist phylogenetic tree visualisation and identification of M. tuberculosis clade-informative polymorphism. Variant Call Format files can be uploaded to determine a sample position within the tree. A map view summarises the geographical distribution of alleles and strain-types. The utility of the PhyTB is demonstrated on sequence data from 1,601 M. tuberculosis isolates.Conclusion
PhyTB contextualises M. tuberculosis genomic variation within epidemiological, geographical and phylogenic settings. Further tool utility is possible by incorporating large variants and phenotypic data (e.g. drug-resistance profiles), and an assessment of genotype-phenotype associations. Source code is available to develop similar websites for other organisms (http://sourceforge.net/projects/phylotrack). 相似文献13.
Anna-Sophie Fiston-Lavier Maite G. Barrón Dmitri A. Petrov Josefa González 《Nucleic acids research》2015,43(4):e22
Transposable elements (TEs) constitute the most active, diverse and ancient component in a broad range of genomes. Complete understanding of genome function and evolution cannot be achieved without a thorough understanding of TE impact and biology. However, in-depth analysis of TEs still represents a challenge due to the repetitive nature of these genomic entities. In this work, we present a broadly applicable and flexible tool: T-lex2. T-lex2 is the only available software that allows routine, automatic and accurate genotyping of individual TE insertions and estimation of their population frequencies both using individual strain and pooled next-generation sequencing data. Furthermore, T-lex2 also assesses the quality of the calls allowing the identification of miss-annotated TEs and providing the necessary information to re-annotate them. The flexible and customizable design of T-lex2 allows running it in any genome and for any type of TE insertion. Here, we tested the fidelity of T-lex2 using the fly and human genomes. Overall, T-lex2 represents a significant improvement in our ability to analyze the contribution of TEs to genome function and evolution as well as learning about the biology of TEs. T-lex2 is freely available online at http://sourceforge.net/projects/tlex. 相似文献
14.
Whole-genome sequencing of tumor tissue has the potential to provide comprehensive characterization of genomic alterations in tumor samples. We present Patchwork, a new bioinformatic tool for allele-specific copy number analysis using whole-genome sequencing data. Patchwork can be used to determine the copy number of homologous sequences throughout the genome, even in aneuploid samples with moderate sequence coverage and tumor cell content. No prior knowledge of average ploidy or tumor cell content is required. Patchwork is freely available as an R package, installable via R-Forge (http://patchwork.r-forge.r-project.org/). 相似文献
15.
As the biomedical impact of small RNAs grows, so does the need to understand competing structural alternatives for regions of functional interest. Suboptimal structure analysis provides significantly more RNA base pairing information than a single minimum free energy prediction. Yet computational enhancements like Boltzmann sampling have not been fully adopted by experimentalists since identifying meaningful patterns in this data can be challenging. Profiling is a novel approach to mining RNA suboptimal structure data which makes the power of ensemble-based analysis accessible in a stable and reliable way. Balancing abstraction and specificity, profiling identifies significant combinations of base pairs which dominate low-energy RNA secondary structures. By design, critical similarities and differences are highlighted, yielding crucial information for molecular biologists. The code is freely available via http://gtfold.sourceforge.net/profiling.html. 相似文献
16.
Jason N. Pitt Indika Rajapakse Adrian R. Ferré-D’Amaré 《Nucleic acids research》2010,38(22):7908-7915
Next-generation DNA sequencing platforms provide exciting new possibilities for in vitro genetic analysis of functional nucleic acids. However, the size of the resulting data sets presents computational and analytical challenges. We present an open-source software package that employs a locality-sensitive hashing algorithm to enumerate all unique sequences in an entire Illumina sequencing run (∼108 sequences). The algorithm results in quasilinear time processing of entire Illumina lanes (∼107 sequences) on a desktop computer in minutes. To facilitate visual analysis of sequencing data, the software produces three-dimensional scatter plots similar in concept to Sewall Wright and John Maynard Smith’s adaptive or fitness landscape. The software also contains functions that are particularly useful for doped selections such as mutation frequency analysis, information content calculation, multivariate statistical functions (including principal component analysis), sequence distance metrics, sequence searches and sequence comparisons across multiple Illumina data sets. Source code, executable files and links to sample data sets are available at http://www.sourceforge.net/projects/sewal. 相似文献
17.
Recent advances in sequencing technologies provide the means for identifying copy number variation (CNV) at an unprecedented resolution. A single next-generation sequencing experiment offers several features that can be used to detect CNV, yet current methods do not incorporate all available signatures into a unified model. cnvHiTSeq is an integrative probabilistic method for CNV discovery and genotyping that jointly analyzes multiple features at the population level. By combining evidence from complementary sources, cnvHiTSeq achieves high genotyping accuracy and a substantial improvement in CNV detection sensitivity over existing methods, while maintaining a low false discovery rate. cnvHiTSeq is available at http://sourceforge.net/projects/cnvhitseq 相似文献
18.
Sangwoo Kim Kyowon Jeong Kunal Bhutani Jeong Ho Lee Anand Patel Eric Scott Hojung Nam Hayan Lee Joseph G Gleeson Vineet Bafna 《Genome biology》2013,14(8):R90
Detection of somatic variation using sequence from disease-control matched data sets is a critical first step. In many cases including cancer, however, it is hard to isolate pure disease tissue, and the impurity hinders accurate mutation analysis by disrupting overall allele frequencies. Here, we propose a new method, Virmid, that explicitly determines the level of impurity in the sample, and uses it for improved detection of somatic variation. Extensive tests on simulated and real sequencing data from breast cancer and hemimegalencephaly demonstrate the power of our model. A software implementation of our method is available at http://sourceforge.net/projects/virmid/. 相似文献
19.
Protein sequences predicted from metagenomic datasets are annotated by identifying their homologs via sequence comparisons with reference or curated proteins. However, a majority of metagenomic protein sequences are partial-length, arising as a result of identifying genes on sequencing reads or on assembled nucleotide contigs, which themselves are often very fragmented. The fragmented nature of metagenomic protein predictions adversely impacts homology detection and, therefore, the quality of the overall annotation of the dataset. Here we present a novel algorithm called GRASP that accurately identifies the homologs of a given reference protein sequence from a database consisting of partial-length metagenomic proteins. Our homology detection strategy is guided by the reference sequence, and involves the simultaneous search and assembly of overlapping database sequences. GRASP was compared to three commonly used protein sequence search programs (BLASTP, PSI-BLAST and FASTM). Our evaluations using several simulated and real datasets show that GRASP has a significantly higher sensitivity than these programs while maintaining a very high specificity. GRASP can be a very useful program for detecting and quantifying taxonomic and protein family abundances in metagenomic datasets. GRASP is implemented in GNU C++, and is freely available at http://sourceforge.net/projects/grasp-release. 相似文献
20.
Christopher Leela Biji Manu K Madhu Vineetha Vishnu Satheesh Kumar K Vijayakumar Achuthsankar S Nair 《Bioinformation》2015,11(5):267-271
The big data storage is a challenge in a post genome era. Hence, there is a need for high performance computing solutions for
managing large genomic data. Therefore, it is of interest to describe a parallel-computing approach using message-passing library
for distributing the different compression stages in clusters. The genomic compression helps to reduce the on disk“foot print” of
large data volumes of sequences. This supports the computational infrastructure for a more efficient archiving. The approach was
shown to find utility in 21 Eukaryotic genomes using stratified sampling in this report. The method achieves an average of 6-fold
disk space reduction with three times better compression time than COMRAD.