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1.
Genomics ; 112(1): 286-288, 2020 01.
Artigo em Inglês | MEDLINE | ID: mdl-30772429

RESUMO

Synteny and collinearity analysis is a standard investigative strategy done in many comparative genomic studies to understand genomic conservation and evolution. Currently, most visualization toolkits of synteny and collinearity do not emphasize the graphical representation of the results, especially the lack of extensible format on vector graphics outputs. This limitation becomes more apparent as 3rd generation sequencing brings high-throughput data, requiring relatively higher resolution for the resulting images. We developed VGSC2, the 2nd version of the web-based vector graph toolkit for genome synteny and collinearity analysis. The updated version enables four types of plots for synteny and collinearity, and three types of plots for gene family evolutionary research. Using web-based technologies, VGSC2 provides an easy-to-use user interface to display the homologous genomic result into vector graphs such as SVG, EPS, and PDF, as well as an online editor. VGSC2 is open source and freely available for use online through the web server available at http://bio.njfu.edu.cn/vgsc2.


Assuntos
Software , Sintenia , Genoma , Genômica/métodos , Família Multigênica
2.
PeerJ ; 6: e4927, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29942676

RESUMO

Gene expression profiling data provide useful information for the investigation of biological function and process. However, identifying a specific expression pattern from extensive time series gene expression data is not an easy task. Clustering, a popular method, is often used to classify similar expression genes, however, genes with a 'desirable' or 'user-defined' pattern cannot be efficiently detected by clustering methods. To address these limitations, we developed an online tool called GEsture. Users can draw, or graph a curve using a mouse instead of inputting abstract parameters of clustering methods. GEsture explores genes showing similar, opposite and time-delay expression patterns with a gene expression curve as input from time series datasets. We presented three examples that illustrate the capacity of GEsture in gene hunting while following users' requirements. GEsture also provides visualization tools (such as expression pattern figure, heat map and correlation network) to display the searching results. The result outputs may provide useful information for researchers to understand the targets, function and biological processes of the involved genes.

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