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.
An automated method to map yeast variants to proteins modifications and functional regions
Estimate PTM hotspots in protein sequence alignments
showTree can visualize the phylogeny, protein sequences and protein domains of a gene family in one figure.
A Bio2BEL package for converting InterPro to BEL
👐 TADOSS: TAndem DOmain Swap Stability predictor
Refining Domain Boundaries and Performing Large Scale Parsing
dom2vec: Protein domain embeddings
Automated analysis tool for mutations in promoters, transcription factor binding sites, coding regions and protein domains in the context of gene regulatory networks.
UniParc dataset describing ~300 million protein sequences converted into relational tables accessible through Google BigQuery (and as Parquet files).
Comparison of protein learning
THIS PROJECT IS NO LONGER SUPPORTED See Brivez Instead!! https://github.com/furacca/brivez/ - ------------------------------------------ - Cuterle is a bioinformatic tool which return an output file containing every domain annotated by InterProScan via Pfam or SMART analysis from the list of protein submitted.
🧬 MSABrowser: dynamic and fast visualization of sequence alignments, variations, and annotations
Using BLAST and Transdecoder.
Brivez is a bioinformatic tool thought as Quality of Life's improvement, providing high quantity of data in a snap, giving you a quick view on what you could find inside your transcriptome/sequences' list.
MetaDome is aimed at professionals in the (bio-)medical field of human genetics who wish to visualize the position of their mutation of interest in the context of general population-based genetic variation and provide detailed information of pathogenic variants found across homologous domain positions.
An R package to identify plant transcription factors from protein sequence data and classify them in families
SWift and Optimized Recognition of protein Domains
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