KircherLab is a bioinformatics / computational biology lab that studies genetic variant effects throughout the genome.
Lübeck & Berlin, Germany
Joined May 2022
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Martin Kircher retweeted
Excited to share the white paper for the IGVF Consortium, supported by @genome_gov
Deciphering the impact of genomic variation on function
rdcu.be/dSZdm
Understanding the function of an entire genome is no easy task! Most genes likely have more than one function.
To understand the functional effects of genomic variation, NHGRI launched a consortium called Impact of Genomic Variation on Function (IGVF). genome.gov/news/IGVF
Martin Kircher retweeted
AGD annual meeting is coming back this year on Oct 26-27, online and in Bonn, with the theme: Thinking beyond short read genomes #AGD2023
agdev.de/tagung2023.html
Martin Kircher retweeted
BREAKING NEWS:
The 2022 #NobelPrize in Physiology or Medicine has been awarded to Svante Pääbo “for his discoveries concerning the genomes of extinct hominins and human evolution.”
Martin Kircher retweeted
We're now also recruiting clinical group leaders! Many great ones here already to collaborate with, and all the resources needed to accelerate your team's research.
💡 Applications are now open for our clinical group leader programme! We’re looking for innovative clinician scientists to join our faculty and establish a research group at the Crick.
📅Apply by 27 October 2022
#AcademicJobs | #ClinicalResearchjobs
ow.ly/if5150KPZEq
Martin Kircher retweeted
Come join us in Lausanne next month for our symposium on Interactions in Biology! Speakers include @NadavAhituv @BartDeplancke @Guillaume_Diss @DunhamLab @YMerbl @YSchaerli @LarsMSteinmetz @zauggj Charlie Boone, Hannah Carter, Jing Hou, and Marc Vidal
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Martin Kircher retweeted
Reproducible analysis requires raw data and metadata. These are often stored in public genomics databases but accessing them can be time-consuming and error-prone.
Thats why we built ffq. 🧵
(we = @agalvezmerchan @lioscro @lpachter)
code @ github.com/pachterlab/ffq (1/7)
Martin Kircher retweeted
Analysis of #scRNAseq requires constant, tedious, interaction with genomics databases. To facilitate querying from @ensembl et al., @NeuroLuebbert developed gget:
biorxiv.org/content/10.1101/… (code @ github.com/pachterlab/gget).
gget has many uses; a 🧵on the its amazing versatility: 1/
Martin Kircher retweeted
Check out our new perspective on "Computational and experimental methods for classifying variants of unknown clinical significance. With Martin Kircher, welcome to @UniLuebeck @UKSH_KI_HL Martin! molecularcasestudies.cshlp.o…
