Chapter 2 Tercen features

Here is an overview of Tercen features. Each feature has its own chapter.

Generate any visual

A researcher configures any graphical view (e.g. heatmaps, plots, time series, kinetic time series and parallel co-ordinates, pairwise scatter plots).

Refer to chapter 4.

Visual computation

A researcher defines a computation (e.g. mean, ANOVA, Mixed-Model, count) visually and in so doing defines a new computation. Process any large numeric data: Researcher can upload and process any type of large numerical data (e.g. genomic, flow cytometry, proteomic).

Refer to chapter 5.

Workflow analysis and customization

A researcher visually customizes a workflow. A workflow is a pipeline data analysis composed of a sequence of computation and annotation steps. There are standard workflows for each of molecular readouts (e.g. RNAseq, flowCyto, mass-spectroscopy spectra).

Refer to chapter 6.

Integrate external knowledge

A researcher integrates extra data from external data or knowledge sources (e.g. biological database).

Refer to chapter 7.

Sharing analysis

A researcher shares the workflow and data via an URL and both researcher and bioinformatician can collaborate on the same workflow and data at the same time.

Refer to chapter 8.

Sharing data

A researcher shares the measurement and computed data via URL to other parties. Raw measurement data or newly analysed data is shareable to any users with internet.

Refer to chapter 9.

Results reporting

A researcher generates an extensive report on the complete workflow for collaborators, presentations or publication. The report contains not only the conclusions but an automatically generated formal description of the complete process (e.g. normalization, statistics testing, clustering, functional annotation). This is essential for reproducible science.

Refer to chapter 10.

Project centric analysis

Science is project orientated and a researcher centralizes all the data, workflow and visuals in one project and easily sets access control.

Refer to chapter 11.

Data provenance

A researcher traces any computed value back to the initial measurement.

Refer to chapter 14.

Add operators or apps (i.e. plug-ins) A researcher easily adds powerful computation or visualization plug-ins. These plugins are developed by the bioinformatician and transmitted via the Tercen platform. Plug-ins are computation or visualization modules (e.g. vsn normalization, ANOVA, PCA, MDS, Mixed Models, and clustering).

Refer to chapter 15.

Programmatic access

Bioinformaticians accesses and manipulates the analysis and components through their favorite programming environment (e.g. R, RShiny, Python, Matlab and Javascript).

Refer to chapter 17.

Cloud hosted or on-site

A researcher shares the complete process via a secure internet connection to secure cloud service, all computation resources (CPU, RAM and hard disk) are dynamically allocated to the researcher. Tercen is also available for onsite deployment.

Refer to chapter 18 and chapter 19.

Zero install

A researcher immediately starts performing analysis using a browser on any device without the aid of an IT administration.

Refer to chapter 18.