Expertise: Bioinformatics, Computer Science, Data Management, Genetics, Genomics, Machine Learning, Metagenomics, NGS, Scientific workflow developement, Software Engineering
Tools: Databases, Galaxy, Genomics, Jupyter notebook, Machine Learning, Nextflow, nf-core, PCR, Perl, Python, R, rtPCR, Snakemake, Transcriptomics, Virology, Web, Web services, Workflows
Dad, husband and PhD. Scientist, technologist and engineer. Bibliophile. Philomath. Passionate about science, medicine, research, computing and all things geeky!
The Regulatory Mendelian Mutation (ReMM) score was created for relevance prediction of non-coding variations (SNVs and small InDels) in the human genome (GRCh37) in terms of Mendelian diseases. This project updates the ReMM score for the genome build GRCh38 and combines GRCh37 and GRCh38 into one workflow.
Pre-requirements
Conda
We use Conda as software and dependency management tool. Conda installation guidelines can be found here:
https://conda.io/projects/conda/en/latest/user-guide/install/index.html ...
polya_liftover - sc/snRNAseq Snakemake Workflow
A [Snakemake][sm] workflow for using PolyA_DB and UCSC Liftover with Cellranger.
Some genes are not accurately annotated in the reference genome. Here, we use information provide by the [PolyA_DB v3.2][polya] to update the coordinates, then the [USCS Liftover][liftover] tool to update to a more recent genome. Next, we use [Cellranger][cr] to create the reference and count matrix. Finally, by taking advantage of the integrated [Conda][conda] and ...