scholarly journals Gene projects: a genome web tool for ongoing mining and annotation applied to CitEST

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 ◽  
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]


2016 ◽  
Author(s):  
Gregory W. Vurture ◽  
Fritz J. Sedlazeck ◽  
Maria Nattestad ◽  
Charles J. Underwood ◽  
Han Fang ◽  
...  

AbstractSummaryGenomeScope is an open-source web tool to rapidly estimate the overall characteristics of a genome, including genome size, heterozygosity rate, and repeat content from unprocessed short reads. These features are essential for studying genome evolution, and help to choose parameters for downstream analysis. We demonstrate its accuracy on 324 simulated and 16 real datasets with a wide range in genome sizes, heterozygosity levels, and error rates.Availability and Implementationhttp://genomescope.org, https://github.com/schatzlab/[email protected] informationSupplementary data are available at Bioinformatics online.


2019 ◽  
Author(s):  
Michael Wainberg ◽  
Roarke A. Kamber ◽  
Akshay Balsubramani ◽  
Robin M. Meyers ◽  
Nasa Sinnott-Armstrong ◽  
...  

SUMMARYA central remaining question in the post-genomic era is how genes interact to form biological pathways. Measurements of gene dependency across hundreds of cell lines have been used to cluster genes into ‘co-essential’ pathways, but this approach has been limited by ubiquitous false positives. Here, we develop a statistical method that enables robust identification of gene co-essentiality and yields a genome-wide set of functional modules. This almanac recapitulates diverse pathways and protein complexes and predicts the functions of 102 uncharacterized genes. Validating top predictions, we show that TMEM189 encodes plasmanylethanolamine desaturase, the long-sought key enzyme for plasmalogen synthesis. We also show that C15orf57 binds the AP2 complex, localizes to clathrin-coated pits, and enables efficient transferrin uptake. Finally, we provide an interactive web tool for the community to explore the results (coessentiality.net). Our results establish co-essentiality profiling as a powerful resource for biological pathway identification and discovery of novel gene functions.


2014 ◽  
Vol 226 (03) ◽  
Author(s):  
F Ponthan ◽  
D Pal ◽  
J Vormoor ◽  
O Heidenreich
Keyword(s):  

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