RNA-structure and Prediction© Karobben

RNA-structure and Prediction

RNA structure research is important for understanding RNA function and regulation, as the structure of RNA molecules can impact their interactions with other molecules, such as proteins and small molecules, and influence gene expression and protein synthesis. Who sad this?
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FPKM, RPKM, CPM, TPM, TMM in RNA-Seq

RNA-seq expression normalization is the process of adjusting the raw gene expression counts to account for differences in sequencing depth and other technical factors. It is important to perform normalization to enable comparisons between samples and increase the accuracy and reproducibility of downstream analyses. Common normalization methods include TPM, FPKM, and DESeq. Who sad this?
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Gene Set Enrichment Analysis (GESA) in R© Karobben

Gene Set Enrichment Analysis (GESA) in R

Gene Set Enrichment Analysis (GSEA) is a powerful tool for interpreting gene expression data in the context of predefined biological pathways and gene sets. It allows researchers to identify enriched gene sets, discover new relationships between genes, and gain insights into the underlying biological mechanisms. Who sad this?
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Extract Fasta from VCF

To create a fasta file from a VCF file, use a script or software that can extract the genomic sequence information from the VCF file and format it into the fasta format. This allows you to generate a sequence-based representation of the genetic variation data stored in the VCF file, making it easier to visualize, analyze, and compare the variants. The fasta file can then be used as input for various bioinformatics tools and pipelines. Who sad this?
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Online Blast with Biopython© Karobben
VCF processing
Denove Prokaryotic Genome with Spader
Go Ontology
RNA-seq with Trinity
miRNA pipeline