Wenjing presents miRTrace selected for this year’s SciLifeLab Scientific Highlights.
Today we publish a comprehensive yet brief video tutorial on installation and usage of miRTrace – our quality control and taxonomic tracing software published in Genome Biology last year.
Under the lead of Bastian Fromm from the Friedlander lab, and in collaboration with a large international consortium, a new gold-standard for microRNA annotations, nomenclature and discovery was published with Nucleic Acids Research.Read More …
Marc Friedländer has been awarded a VR research project grant for 4 years.
Cecilia Furugård, Kavan Gor and Mika Ito from the SciLifeLab master program, the Molecular Techniques in Life Science have joined the lab as project students. We are all happy to welcome Cecilia, Kavan and Mika to our group!
We are looking for two young investigators interested in joining our team as postdoctoral researcher. Our group is part of a larger vibrant international collaborative environment and seeks to address fundamental questions in RNA biology, by applying quantitative approaches such as single-cell RNA sequencing, single-cell proteomics, various high-throughput screening methods and advanced computational biology.
The postdoctoral researchers will develop beyond-state-of-the-art methods to profile the variation of microRNA expression, interactions between microRNAs and their targets, and the impact of microRNAs on the transcriptome and proteome, in single cells.
Read more on NatureCareers
Informal inquiries are welcome and can be submitted to firstname.lastname@example.org
Find more about us @FriedlanderLab on Twitter
In collaboration with Love Dalén (Swedish Museum of Natural History), Marc Friedlander received a grand to support collaborative projects on paleotranscriptomics for 2 years.
The number-loving computational biologist and smørrebrød master Marc Friedländer and his research group has recently discovered a way to tell what species tissue samples come from, by using microRNAs. Now they set out to revolutionize the field.
Read the full article at our host institute SciLifeLab: https://www.scilifelab.se/news/marc-friedlander-traces-origins-microrna/
miRTrace reveals the organismal origins of microRNA sequencing data
Software page: https://friedlanderlab.org/software/mirtrace/
We present here miRTrace, the first algorithm to trace microRNA sequencing data back to their taxonomic origins. This is a challenge with profound implications for forensics, parasitology, food control, and research settings where cross-contamination can compromise results. miRTrace accurately (> 99%) assigns real and simulated data to 14 important animal and plant groups, sensitively detects parasitic infection in mammals, and discovers the primate origin of single cells. Applying our algorithm to over 700 public datasets, we find evidence that over 7% are cross-contaminated and present a novel solution to clean these computationally, even after sequencing has occurred. miRTrace is freely available at https://github.com/friedlanderlab/mirtrace.
Update: this position is no longer available.
The idea to do a retreat had been growing for some time already and we finally did it this August!
On a rainy Sunday eight members of the Friedländer group made their way to the Swedish isle of Gotland by ferry. Since three new members recently joined the group, the main focus of the retreat was to get to know each other by spending time together in Visby, the capital of Gotland.Read More …