scholarly journals Improvements to pairwise sequence comparison (PASC): a genome-based web tool for virus classification

2014 ◽  
Vol 159 (12) ◽  
pp. 3293-3304 ◽  
Author(s):  
Yiming Bao ◽  
Vyacheslav Chetvernin ◽  
Tatiana Tatusova
2021 ◽  
Vol 18 (1) ◽  
Author(s):  
He-Teng Zhang ◽  
Hao Wang ◽  
Hai-Sheng Wu ◽  
Jian Zeng ◽  
Yan Yang

Abstract Background Although some studies have investigated the bacterial community in vaginal tract of pregnant women, there are few reports about the viral community (virome) in this type of microenvironment. Methods To investigate the composition of virome in vaginal secretion samples, 40 vaginal secretion samples from pregnant women with vaginitis and 20 vaginal secretion samples from pregnant women without vaginitis, pooled into 4 and 2 sample pools, respectively, were subjected to viral metagenomic analysis. Results Results indicated virus sequences showing similarity to human papillomavirus (HPV), anellovirus, and norovirus were recovered from this cohort of pregnant women. Further analysis indicated that 15 different defined types and one unclassified type of HPV were detected from pregnant women with vaginitis while only 3 defined types of HPV were detected in pregnant women without vaginitis. Five different groups of viruses from the family Anelloviridae were present in pregnant women with but none of them were detected in pregnant women without vaginitis. Norovirus was detected in 3 out of the 4 sample pools from pregnant women with vaginitis but none in the pregnant women without vaginitis. Twelve complete genomes belonging to 10 different types of HPV, and 5 novel anllovirus genomes belonging 2 different genera in Anelloviridae were acquired from these libraries, based on which phylogenetical analysis and pairwise sequence comparison were performed. Phageome in these samples was also briefly characterized and compared between two groups. Conclusion Our data suggested that virome might play an important role in the progression of vaginitis in pregnant women.


Viruses ◽  
2012 ◽  
Vol 4 (8) ◽  
pp. 1318-1327 ◽  
Author(s):  
Yiming Bao ◽  
Vyacheslav Chetvernin ◽  
Tatiana Tatusova

2007 ◽  
Vol 30 (3 suppl) ◽  
pp. 1030-1036 ◽  
Author(s):  
Marcelo F. Carazzolle ◽  
Eduardo F. Formighieri ◽  
Luciano A. Digiampietri ◽  
Marcos R.R. Araujo ◽  
Gustavo G.L. Costa ◽  
...  
Keyword(s):  
Web Tool ◽  

2007 ◽  
Vol 2007 (24) ◽  
pp. pdb.top31-pdb.top31 ◽  
Author(s):  
D. W. Mount

2014 ◽  
Vol 80 (20) ◽  
pp. 6383-6394 ◽  
Author(s):  
Gabriele Andrea Lugli ◽  
Christian Milani ◽  
Francesca Turroni ◽  
Sabrina Duranti ◽  
Chiara Ferrario ◽  
...  

ABSTRACTTheBifidobacteriumgenus currently encompasses 48 recognized taxa, which have been isolated from different ecosystems. However, the current phylogeny of bifidobacteria is hampered by the relative paucity of genotypic data. Here, we reassessed the taxonomy of this bacterial genus using genome-based approaches, which demonstrated that the previous taxonomic view of bifidobacteria contained several inconsistencies. In particular, high levels of genetic relatedness were shown to exist between particularBifidobacteriumtaxa which would not justify their status as separate species. The results presented are here based on average nucleotide identity analysis involving the genome sequences for each type strain of the 48 bifidobacterial taxa, as well as phylogenetic comparative analysis of the predicted core genome of theBifidobacteriumgenus. The results of this study demonstrate that the availability of complete genome sequences allows the reconstruction of a more robust bifidobacterial phylogeny than that obtained from a single gene-based sequence comparison, thus discouraging the assignment of a new or separate bifidobacterial taxon without such a genome-based validation.


2016 ◽  
Author(s):  
Guillaume Devailly ◽  
Anna Mantsoki ◽  
Anagha Joshi

SummaryBetter protocols and decreasing costs have made high-throughput sequencing experiments now accessible even to small experimental laboratories. However, comparing one or few experiments generated by an individual lab to the vast amount of relevant data freely available in the public domain might be limited due to lack of bioinformatics expertise. Though several tools, including genome browsers, allow such comparison at a single gene level, they do not provide a genome-wide view. We developed Heat*seq, a web-tool that allows genome scale comparison of high throughput experiments (ChIP-seq, RNA-seq and CAGE) provided by a user, to the data in the public domain. Heat*seq currently contains over 12,000 experiments across diverse tissue and cell types in human, mouse and drosophila. Heat*seq displays interactive correlation heatmaps, with an ability to dynamically subset datasets to contextualise user experiments. High quality figures and tables are produced and can be downloaded in multiple formats.AvailabilityWeb application:www.heatstarseq.roslin.ed.ac.uk/. Source code:https://github.com/[email protected];[email protected]


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