Useful resources can be found here: Difference between revisions
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[http://nrps.igs.umaryland.edu/ NRPS-PKS] NRPS-PKS domain identification and specificity code prediction. | [http://nrps.igs.umaryland.edu/ NRPS-PKS] NRPS-PKS domain identification and specificity code prediction. | ||
====RiPP tools==== | |||
[https://webtool.ripp.rodeo/ RODEO] and [https://www.ripp.rodeo/advanced.html RODEO advanced] Online tool for RiPP identification, and can also be used to retrieve and analyse gene neighbourhoods. | |||
[http://bagel5.molgenrug.nl/ BAGEL] Online tool for the detection of bacteriocins and RiPP BGCs in bacterial (meta-)genomes. | |||
[http://www.nii.ac.in/rippminer2.html RiPPMiner] Prediction of RiPP BGCs, RiPP families and RiPP product structures. | |||
[https://github.com/mohimanilab/seq2ripp seq2ripp] Identifies RiPPs from paired genomic and mass spectrometry data. | |||
[https://hyporippatlas.npanalysis.org/ HypoRiPPAtlas] Database of hypothetical RiPPs from RefSeq microbial genomes and plant transcriptomes. Data acquired using seq2ripp. | |||
[https://github.com/Alexamk/decRiPPter decRiPPter] Data-driven Exploratory Class-independent RiPP TrackER. Machine learning tool for the detection of RiPP precursor peptides and associated BGCs. | |||
Revision as of 10:51, 14 November 2024
2024 SSAMM - Bioinformatics Tools and Online Resources
Strains
Streptomyces.org Links to resources including StrepDB and a free download of the Streptomyces manual.
BacDive (The Bacterial Diversity Metadatabase) The world’s largest database for standardized bacterial information. Look up your strain, its morphology, culture and growth condition, DNA sequence accessions, chemotaxonomic features etc.
Formerly PNU (Prokaryotic Nomenclature Up-to-date) LPSN (List of Prokaryotic names with Standing in Nomenclature). Used to check the nomenclature/taxonomic standing of your strain.
MediaDive The world's largest collection of cultivation media. Your own media can be added and could be a first step in standardisation of bioassay data reportings.
StrainInfo Provides a resolution of microbial strain identifiers by storing culture collection numbers, their relations between strain collections, and culture-associated data.
Synthetic biology
De Novo DNA Use for calculating RBS and promoter strengths, and also provides predictions on mRNA stability (note: now requires payment to use).
DNA Chisel Python library for optimising DNA sequences with respect to a set of constraints and optimization objectives.
Genomics
KEGG (Kyoto Encyclopedia of Genes and Genomes) Gene and pathway information of multiple organisms.
Pyteomics Nice python packages for working with proteomics data.
CheckM Assesses the quality (contamination and completeness) of genome bins in metagenomics. Also useful for regularly assembled genomes.
MAUVE Tool to align whole genomes.
MeDuSa Draft genome scaffolding.
QUAST Quality Assessment Tool for Genome Assemblies
Tablet Genome viewer (especially good for visualising mapped reads).
Ideel Quick test for interrupted ORFs in microbial genomes.
Prokka Tool to annotate bacterial, archaeal and viral genomes.
Proksee Genome assembly, annotation and visualization, featuring interactive circular and linear genome maps.
Roary Pan-genome pipeline to calculate the pan-genome of an input set of genomes
Biosynthetic gene cluster tools
antiSMASH Very well-supported tool for BGC identification in bacterial, fungal and plant genomes.
antiSMASH-db Precomputed antiSMASH results for >200,000 BGC regions. Enables targeted searches and downloading of BGC regions.
MultiSMASH Pipeline for large-scale antiSMASH across multiple genomes.
BiG-SCAPE Tool to generate and visualise sequence similarity networks of BGCs.
BiG-FAM Searchable database linked to antiSMASH annotations of over 1.2 million BGCs. Can search classes for individual BGCs or "Gene Cluster Families" (GCFs).
BiG-SLiCE A scalable tool to map the diversity of BGCs.
BiG-MEx A tool for the mining of BGC domains and classes in metagenomic data.
cblaster Tool for finding clusters of co-located homologous sequences in BLAST searches.
clinker Comparison and publication-quality visualisation of synteny between BGCs. Can visualise output of cblaster (above) results.
CAGECAT Online CompArative GEne Cluster Analysis Toolbox. An online implementation of cblaster and clinker.
EFI-GNT Assesses gene neighbourhoods - tool associated with EFI-EST (below).
WebFlaGs Provides information about gene neighbourhoods associated with a set of protein accessions.
DeepBGC DeepBGC detects BGCs in bacterial and fungal genomes using deep learning. You can train the tool on your own data.
GECCO BGC identification using a machine learning approach.
GATOR-GC Flexible tool for targeted genome mining of BGCs, genomic islands, resistance islands, and more. Allows for a customised approach to exploring and comparing gene clusters across any chosen genomic database.
2ndFind Tool to find specialised metabolite BGCs in bacterial or eukaryotic genome sequence. The tool finds secondary metabolism proteins using Pfam domains found in specialised metabolism proteins. Useful for rapid Pfam analysis of BGCs.
BGCFlow A systematic workflow for the analysis of biosynthetic gene clusters across large collections of genomes. Integrates many bioinformatic tools.
Non-ribosomal peptide and polyketide tools
DeepT2 Prediction of the Ksβ sequence and the discovery of a novel T2PKSs.
NRPS-PKS NRPS-PKS domain identification and specificity code prediction.
RiPP tools
RODEO and RODEO advanced Online tool for RiPP identification, and can also be used to retrieve and analyse gene neighbourhoods.
BAGEL Online tool for the detection of bacteriocins and RiPP BGCs in bacterial (meta-)genomes.
RiPPMiner Prediction of RiPP BGCs, RiPP families and RiPP product structures.
seq2ripp Identifies RiPPs from paired genomic and mass spectrometry data.
HypoRiPPAtlas Database of hypothetical RiPPs from RefSeq microbial genomes and plant transcriptomes. Data acquired using seq2ripp.
decRiPPter Data-driven Exploratory Class-independent RiPP TrackER. Machine learning tool for the detection of RiPP precursor peptides and associated BGCs.