We offer scientific training courses in #Bioinformatics #Genomics #evolution #python, #rstats https://xitter.cf/t.co/NZ0vU7lcpn
Berlin, Germany and šš
Joined July 2016
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š October is coming & weāre bringing a full month of online training at Physalia
From genomics & ecology to bioinformatics R,Python,AI & moreāthereās something for researchers at every stage š
Check out our October programme and find your next course
physalia-courses.org/coursesā¦
Registrations are now open for the Introduction to R course in January!
Participants will learn how to work with datasets, clean & transform data using dplyr, create visualizations with ggplot2 & produce reproducible reports
For info, please visit: physalia-courses.org/coursesā¦
š¢ Registration is open for the 3rd edition of our online course on Species Distribution Modeling with BART
š
9ā11 February 2027
š» Hands-on training in R, from predictor selection to model evaluation and spatial prediction.
physalia-courses.org/coursesā¦
There are only a few seats available for the course "Population genomic inference from low-coverage whole-genome sequencing data" with with @ntherk @fishyomics & @tpLinderoth
For more information: physalia-courses.org/coursesā¦
Registrations are now open for the next edition of the online course #Metabarcoding in Microbial Ecology with @AnnaSandionigi & @LuisBorruso
physalia-courses.org/coursesā¦
#Metabarcoding #MicrobialEcology #Qiime2 #Rstats
After the first part of our #EnvironmentalMetagenomics course, focused on short @illumina read analysis with @NikolayOskolkov , weāre now moving on to long-read metagenomics with @luispedrocoelho
exploring data from @nanopore & @PacBioš§¬
physalia-courses.org/coursesā¦
Registrations are now open for the next edition of the course on Markov and Hidden Markvov Models in R with Prof. Fulvia Pennoni.
For more information: physalia-courses.org/coursesā¦
#Rstats #MarkovModels #HiddenMarkovModels #Statistics
Physalia-courses@ONLINE retweeted
solid foundation in statistics is even more important in the age of AI.
This interactive app explaining statistic concepts is great
seeing-theory.brown.edu/indeā¦
Registrations are open for the next edition of the Genome Assembly and Annotation course:
physalia-courses.org/coursesā¦
š§¬ Want to understand and use machine learning in cancer genomics? Join us online with @gcaravagna & @elenabuscaroli, Feb 1ā5, for hands-on learning with HMMs, mixture models, hierarchical models & autoencoders.
physalia-courses.org/coursesā¦
šØ Last call for Environmental Metagenomics with
@luispedrocoelho & @NikolayOskolkov!
Only 1 seat left for this course!
š§¬Interested in exploring the microbial world and learning practical approaches to environmental metagenomics? This is your last chance to join us!
There are still a few seats left for our online course on Sex Chromosome Evolution
Dates: 12ā16 October
Course website:Ā physalia-courses.org/coursesā¦
This hands-on online course will introduce practical approaches for identifying sex chromosomes and studying their evolution.
Registrations are now open for our new online course on #Claude for Bioinformatics:
physalia-courses.org/coursesā¦
Participants will gain hands-on experience delegating coding tasks to Claude, supervising and correcting its work & documenting the result so that others can reproduce it
š§¬ LIVE WEBINAR | Programming Biology with Genome-scale AI
Join us on December 7th for a live webinar exploring how AI is reshaping genomics and enabling new approaches to programmable biology. Register now!
physalia-courses.org/coursesā¦
Join our hands-on online course on Spatial Proteomics Data Analysis in R/Bioconductor, 10ā12 November.
Learn to process MS-based proteomics data, perform QC and clustering, apply machine learning for protein localisation, and build subcellular maps
physalia-courses.org/coursesā¦
Marine Spatial Data Analysis in R š#
š» 3ā6 November| Online | 15:00ā18:00 CET
A hands-on course for marine ecologists, oceanographers & conservation scientists. Learn to analyse, visualise & integrate marine spatial data in R.
physalia-courses.org/coursesā¦
Join us online, 28 Septā2 Oct, for Introduction to #ComputationalBiology! š§¬
A hands-on 5-day course covering #genomeassembly, #metagenomics, #singlecell #RNAseq, #metabolomics & #multiomics āwith practical projects using real datasets. physalia-courses.org/coursesā¦
š¢ COURSE ALERT!
Design, implement & promote species monitoring in R š¾ 19ā21 October, online.
Learn CMR, distance sampling, occupancy & N-mixture models using real datasets and R.
physalia-courses.org/coursesā¦
#RStats #Ecology #Conservation #Biodiversity #EcologicalMonitoring
Physalia-courses@ONLINE retweeted
ā” Gone are the days when training data for microbiome multi-omics meant a few hundred paired samples.
š§¬ We introduce HuMMANet, the largest paired gut microbiome-metabolome resource assembled to date: 46 studies, 14,405 samples, 54,914 harmonized metabolites.
š Congratulations to the brilliant team of @tarini_ghosh on this massive cross-border @IIITDelhi - @WeillCornell effort, spearheaded by Shivangi Verma with extraordinary support from Nalin Arora and other co-authors.
š¤ We hope this corpus generates new knowledge and advances microbiome multimodal AI, mechanistic insight, and translational discovery.
š Preprint: biorxiv.org/content/10.64898ā¦
š» Code: github.com/ShivangiV-IIITD/Hā¦
#Microbiome #Metabolomics #Multiomics #Omics #DataScience #MultimodalAI
