From now on, I no longer will be in X. I have migrated to bluesky.
If your interested in my ramblings, please follow @asbarros.bsky.social
#Bluesky#BlueskySocial
In the advanced data analysis unit @GIMM_Institute , we have discussed sharing our experiences in checking, filtering and analysing data (omic and otherwise). So we decided to create a blog!
https://t.co/qnjFBY5PBI
"Researchers will be free to communicate all their findings in all their glorious uncertainty, knowing their work is to be judged by the quality and effective communication of their science, and not by their p-values."
It takes a vector (can be a row or a column of a data-frame) and transforms the non-date entries into dates, while keeping the others as is!
#stats#rstats
Have you ever faced a problem when working with dates in R, specifically when Excel decides your date is a number?
Worry no more! We at the Advanced Data Analysis Unit @GIMM_Institute have developed a function to work around this problem:
https://t.co/aMEOELSPgW
4) The scientific method also applies to computational results: proper controls and negating all alternative hypotheses are just as important in computational biology as in bench experiments.
Mandatory periodic reminder.
➡️ Statistics: lines through data point cloud
➡️ Data science: lines through data point cloud
➡️ Machine learning: lines through data point cloud
➡️ AI: lines through data point cloud
First script in the repository is a bash script for subsampling FASTQ files and aligning them using Salmon. The goal is designed to determine the strandness of the data (mostly helpful when there is no information about this).
https://t.co/n9g1mxLHYp
#Bioinformatics#rnaseq
As a part of the Advanced Data Analysis Unit of @GIMM_Institute, I have worked with some transcriptomic datasets.
Considering I have faced different data types, scenarios and analysis requirements, I have decided to create a github repository for RNASeq analysis.