💻 Software & Environment Setup
Bioinformatics & Computational Biology
The computational toolchain and environment used throughout DNA Large Language Models (DNA-LLMs): Leveraging AI and NLP for Genomic Sequence Analysis.
Dna large language faculty developmentDna large language for PhD researchersDna large language training PolandDna large language training IndiaDna large language online workshopDna large language training course for researchers
# Recommended conda environmentconda create -n dstc_env python=3.11 -yconda activate dstc_envpip install biopython pandas pysam scikit-bioBiopython
Sequence I/O, BLAST parsing, phylogenetics
Sequence I/O, BLAST parsing, phylogenetics
SAMtools / BCFtools
Alignment & variant file manipulation
Alignment & variant file manipulation
Bioconductor (R)
DESeq2, edgeR & limma for expression analysis
DESeq2, edgeR & limma for expression analysis
Nextflow
Reproducible, portable NGS pipelines
Reproducible, portable NGS pipelines
Supported OS: Linux (Ubuntu 22.04+), macOS, or Windows via WSL2.
Hardware: 16 GB RAM minimum; a CUDA GPU helps for deep-learning modules.
Earn government-registered certification in DNA Large Language Models (DNA-LLMs): Leveraging AI and NLP for Genomic Sequence Analysis
e-Certificate and e-Marksheet issued on successful completion.
