Dr. Aammar Tufail Profile picture
Dec 19 • 12 tweets • 4 min read
Prokaryotic genome annotation is an important process in understanding the function and biology of bacteria and other prokaryotes.
Here are the top 10 pipelines for prokaryotic genome annotation🧵: #bioinformatics #DataScience #Genomics #Linux
#1: RAST (Rapid Annotation using Subsystems Technology) - a web-based tool for annotating bacterial and archaeal genomes rast.nmpdr.org
#2: Prokka - a fast, reliable, and easy-to-use annotation tool for bacterial and archaeal genomes github.com/tseemann/prokka
#3: IslandPath-DIMOB - a pipeline for identifying genomic islands and mobile genetic elements ncbi.nlm.nih.gov/pubmed/22105793
#3: IslandPath-DIMOB - a pipeline for identifying genomic islands and mobile genetic elements ncbi.nlm.nih.gov/pubmed/22105793
#4: GeneMark - a genome annotation tool that uses both ab initio and homology-based prediction methods ncbi.nlm.nih.gov/pmc/articles/P…
#5: Glimmer - a tool for identifying genes in bacterial and archaeal genomes using a combination of interpolated Markov models and codon usage bias ncbi.nlm.nih.gov/pmc/articles/P…
#6: Prodigal - a fast and accurate gene prediction tool for prokaryotic genomes github.com/hyattpd/Prodig…
#7: BRAKER - a pipeline for de novo gene annotation using RNA-Seq data github.com/Gaius-Augustus…
#8: AntiSMASH - a tool for identifying and annotating secondary metabolism gene clusters in prokaryotes antismash.secondarymetabolites.org
#9: CRISPRFinder - a tool for identifying CRISPR arrays and associated Cas genes in prokaryotic genomes crispr.u-psud.fr
#10: BAGEL - a pipeline for predicting and annotating gene clusters involved in biosynthesis of secondary metabolites ncbi.nlm.nih.gov/pmc/articles/P…

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More from @aammar_tufail

Dec 19
Top 10 GitHub repositories for #RNAseq data analysis:

A thread 🧵:
Tuxedo Protocols: github.com/broadinstitute…
This repository contains a collection of protocols and tools for analyzing RNAseq data, including alignment, quantification, and differential expression analysis. (1/10)
RNASeq Workflow: github.com/gringer/RNASeq…
This repository contains a workflow for analyzing RNAseq data using the R programming language, including quality control, alignment, and differential expression analysis. (2/10)
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