resbaz poster: toolkit

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Tom Kelly PhD Candidate, Genetics @tomkXY [email protected] My digital toolbox Operating system: Windows 7 / Ubuntu 14.04 Data analysis and visualisation: R (CRAN and Bioconductor packages), Bash Shell, Python Code development: RStudio High Performance Computing: Slurm (NZ eScience Infrastructure) Version control: GitHub Document editing: Microsoft Word, Wolfram Mathematica, LaTeX Reference manager: EndNote Graphics editing: Inkscape / GIMP ● Presentations: Microsoft PowerPoint / Rmarkdown (Slidify) My favourite tool: R As a computational biologist, R is my one-stop shop for data analysis and visualisation. It is supported by a vast array of packages serving specialist disciplines on CRAN, Bioconductor, and github repositories. R is growing in the life sciences as, genomic datasets become commonplace, both in use and value to employers. I’ve got my eyes on: Prezi / Microsoft Sway Effective communication is essential to conducting reproducible scientific work of value to the community funding it. Communicating science is only going to be more challenging as Interdisciplinary research teams become the norm with sharing findings with collaborators, funding bodies, students, and the lay public. MS Powerpoint has dominated the presentation toolkit to the point where few of us question the limitations of the format. Cloud-based and non-linear presentation tools are emerging as feasible alternatives. I am particularly interested in trying My research: Synthetic lethal interactions for cancer drugs The synthetic lethal concept enables indirect targeting of tumour suppressor genes for cancer therapy tailored to molecular profiles and hereditary predispositions of patients. I am investigating computational approaches to understand the mechanisms of genetic interactions and increase the efficiency of experimental screening for candidate drug targets to develop more effective cancer treatment.

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Page 1: ResBaz poster: Toolkit

Tom Kelly PhD Candidate, [email protected]@postgrad.otago.ac.nz

My digital toolbox● Operating system: Windows 7 / Ubuntu 14.04● Data analysis and visualisation: R (CRAN and Bioconductor

packages), Bash Shell, Python● Code development: RStudio● High Performance Computing: Slurm (NZ eScience Infrastructure)● Version control: GitHub● Document editing: Microsoft Word, Wolfram Mathematica, LaTeX● Reference manager: EndNote● Graphics editing: Inkscape / GIMP● Presentations: Microsoft PowerPoint / Rmarkdown (Slidify)

My favourite tool: RAs a computational biologist, R is my one-stop shop for data analysis and visualisation. It is supported by a vast array of packages serving specialist disciplines on CRAN, Bioconductor, and github repositories. R is growing in the life sciences as, genomic datasets become commonplace, both in use and value to employers.

I’ve got my eyes on: Prezi / Microsoft SwayEffective communication is essential to conducting reproducible scientific work of value to the community funding it. Communicating science is only going to be more challenging as Interdisciplinary research teams become the norm with sharing findings with collaborators, funding bodies, students, and the lay public. MS Powerpoint has dominated the presentation toolkit to the point where few of us question the limitations of the format. Cloud-based and non-linear presentation tools are emerging as feasible alternatives. I am particularly interested in trying MS Sway which has been very popular in preview versions.

My research: Synthetic lethal interactions for cancer drugsThe synthetic lethal concept enables indirect targeting of tumour suppressor genes for cancer therapy tailored to molecular profiles and hereditary predispositions of patients. I am investigating computational approaches to understand the mechanisms of genetic interactions and increase the efficiency of experimental screening for candidate drug targets to develop more effective cancer treatment.