Mapping domain co-occurrence networks with emphasis on c-d-GMP binding domains.
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Updated
May 3, 2017 - Jupyter Notebook
Mapping domain co-occurrence networks with emphasis on c-d-GMP binding domains.
Interactively explore the relationship between a variant of interest, protein structure, and previously reported variants.
A Bio2BEL package for PFAM (https://pfam.xfam.org/)
Minimal benchmark test to compare zstd (zstandard) compression with gzip for the datafile Pfam-A.full.gz
Co-occurrence of enzyme domains
A deepchain-app to predict protein family 🔬
Scripts to calculate sequence similarity networks (SSNs) and clustering of protein sequences.
Method for retrieving and visualising the protein domains of any protein coding isoform and of different genomes. Enables joint visualisations representing alternative splicing events.
Set of tools for protein sequence enrichment and protein domain finding
PARS is a python package for browsing and downloading files deposed in Pfam and Rfam databases (e.g. sequences, alignments, hmm). It has implemented classes dedicated to Pfam data like: PfamFamily or PfamClan. PARS is compatible with Biopython modules, but also is extended by HMMER wrapper which enables convenient usage of downloaded HMM files. …
PFAM's micro service to assist to Mistic2.
CroMaSt (Cross Mapper of domain Structural instances) is an automated iterative workflow to clarify domain definition by cross-mapping of domain structural instances between domain databases.
Snakemake pipeline for searching genomic sequences for those encoding proteins containing domains of choice
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