Our Stories

May 26 WEHI Bioinformatics Seminar

Goknur will be hosting WEHI Bioinformatics Seminar at WEHI on May 26th on behalf of WEHI Bioinformatics Division

Time: 10:45am Tuesdays.
Venue: Level 7 Seminar Room 2, WEHI1

Speaker: Jerry Gao – WEHI Molecular Medicine

Visualising high-dimensional data using tSNE: Not just a new kid on the block, but a good kid on the block

Recent technological advances have enabled detailed interrogation of biological systems by simultaneously measuring a large number of parameters at single-cell resolution. However, this explosion of data generation presents new challenges in visualization and interpretation of the data in a meaningful manner. In this talk I introduce the t-Distributed Stochastic Neighbor Embedding (tSNE) algorithm, which is a recently developed dimensionality reduction technique for visualizing and exploring high-dimensional data sets. I show examples of tSNE having superior performance over other dimensionality reduction techniques such as PCA and also present my application of this algorithm to study aspects of haematopoiesis. This includes using tSNE to unmask complex traits and heterogeneity when assessing cell fate in cellular barcoding data as well as to link cellular phenotype with cell fate at the single-cell level.

May 19 WEHI Bioinformatics Seminar

Goknur will be hosting WEHI Bioinformatics Seminar at WEHI on May 19th on behalf of WEHI Bioinformatics Division

Time: 10:45am Tuesdays.
Venue: Davis Auditorium – WEHI1

Speaker: Falk Schreiber – Monash University

Methods and Algorithms for Biological Networks

The complexity of experimental datasets is continuously increasing thereby elevating the requirements for respective methods and computational tool support for the analysis, integration, and visualisation of multiple large-scale datasets. Biological networks are increasingly important to represent and analyse that data and also allow for modelling and simulation of biological processes. Focusing on metabolism, I will present some work about the representation, analysis, and visualisation of biological networks. I will (1) present visualisation algorithms and discuss the need for interactive visual analytics, (2) talk about standards for the graphical representation of biological networks, (3) present network analysis algorithms for the investigation of specific networks such as gene regulatory and metabolic networks, and (4) discuss simulation approaches for metabolism including multiscale modelling. Different examples will show how such methods can help to explore and analyse biological data.

May 12 WEHI Bioinformatics Seminar

Goknur will be hosting WEHI Bioinformatics Seminar at WEHI on May 12th on behalf of WEHI Bioinformatics Division

Time: 10:45am Tuesdays.
Venue: Level 7 Seminar Room 1, WEHI1

Speaker: Tony Papenfuss – WEHI and Peter Mac Bioinformatics

Discovering structural variants in cancer (and other) genomes

In this talk, I will give an overview of the development and application of methods for predicting genomic rearrangements in tumour genomes in my lab over the last 6 or 7 years. I will particularly focus on how our data, and the specific research questions we have looked at, influenced our thinking and approaches. This work includes a boutique method and two generic methods for identifying genomic rearrangements, and a method for classifying interesting signatures in rearrangements. I will also discuss how these tools are being used in clinical cancer genomics and in applications outside of cancer.

March 24 WEHI Bioinformatics Seminars

Goknur will be giving a talk at WEHI Bioinformatics Seminar at WEHI

Time: 10:45am Tuesdays.
Venue: Level 7 Seminar Room 2, WEHI1

Speaker: Goknur Giner – WEHI Bioinformatics

XenoSplit: a tool to compare, explore and filter species contamination in xenograft models

Xenografts are tissue or organs obtained from an individual of one species transplanted into a member of another species. Xenograft models are very important for biomedical research. Accurate detection and separation of the species from sequencing data is a challenge. Here we present a simple tool to discover and interrogate the contamination level in experiments with mixed species. XenoSplit is compatible with Subread, Subjunc and Bowtie alignment pipelines and allows users to determine a threshold for certainty of mapping to exclude ambiguous reads.

Giner gets re-branded

As of January 1, 2014, Rick and Göknur Giner will be trading under the new company name Giner Web and Data.

We will be bringing you all the professionalism and expertise you have previously enjoyed whilst working with us as separate entities, and a heap of new benefits we can offer as a new single company.

You’ll see us continue to focus in the fields that have already earned us our individual reputations as key players in web development and statistical analysis, but we will also be able to combine our talents to offer complete packages for your digital data-driven solutions in 2014.

Get in touch now to find out how we can help your business reach its potential.