Contrasting patterns of freshwater microbial metabolic potentials and functional gene interactions between an acidic mining lake and a weakly alkaline lake

2017 ◽  
Vol 63 (S1) ◽  
pp. S354-S366 ◽  
Author(s):  
Lijuan Ren ◽  
Xingyu Song ◽  
Erik Jeppesen ◽  
Peng Xing ◽  
Lone Liboriussen ◽  
...  
2002 ◽  
Vol 47 (4) ◽  
pp. 1197-1201 ◽  
Author(s):  
Matthias Koschorreck ◽  
Jörg Tittel

2009 ◽  
Vol 57 (4) ◽  
pp. 701-717 ◽  
Author(s):  
Katharina Porsch ◽  
Jutta Meier ◽  
Sabine Kleinsteuber ◽  
Katrin Wendt-Potthoff

Protist ◽  
2005 ◽  
Vol 156 (1) ◽  
pp. 63-75 ◽  
Author(s):  
Jörg Tittel ◽  
Vera Bissinger ◽  
Ursula Gaedke ◽  
Norbert Kamjunke

2008 ◽  
Vol 63 (1) ◽  
pp. 107-117 ◽  
Author(s):  
Sabine Kleinsteuber ◽  
Frank-Dietrich Müller ◽  
Antonis Chatzinotas ◽  
Katrin Wendt-Potthoff ◽  
Hauke Harms

Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Xiao-Bao Ding ◽  
Jie Jin ◽  
Yu-Tian Tao ◽  
Wen-Ping Guo ◽  
Li Ruan ◽  
...  

Abstract Drosophila melanogaster is a well-established model organism that is widely used in genetic studies. This species enjoys the availability of a wide range of research tools, well-annotated reference databases and highly similar gene circuitry to other insects. To facilitate molecular mechanism studies in Drosophila, we present the Predicted Drosophila Interactome Resource (PDIR), a database of high-quality predicted functional gene interactions. These interactions were inferred from evidence in 10 public databases providing information for functional gene interactions from diverse perspectives. The current version of PDIR includes 102 835 putative functional associations with balanced sensitivity and specificity, which are expected to cover 22.56% of all Drosophila protein interactions. This set of functional interactions is a good reference for hypothesis formulation in molecular mechanism studies. At the same time, these interactions also serve as a high-quality reference interactome for gene set linkage analysis (GSLA), which is a web tool for the interpretation of the potential functional impacts of a set of changed genes observed in transcriptomics analyses. In a case study, we show that the PDIR/GSLA system was able to produce a more comprehensive and concise interpretation of the collective functional impact of multiple simultaneously changed genes compared with the widely used gene set annotation tools, including PANTHER and David. PDIR and its associated GSLA service can be accessed at http://drosophila.biomedtzc.cn.


PLoS ONE ◽  
2008 ◽  
Vol 3 (2) ◽  
pp. e1593 ◽  
Author(s):  
Zoltán Bochdanovits ◽  
David Sondervan ◽  
Sophie Perillous ◽  
Toos van Beijsterveldt ◽  
Dorret Boomsma ◽  
...  

Hydrobiologia ◽  
2003 ◽  
Vol 506-509 (1-3) ◽  
pp. 753-758 ◽  
Author(s):  
Dieter Lessmann ◽  
Andrew Fyson ◽  
Brigitte Nixdorf

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