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https://sites.google.com/view/hsa23/

Shetti is an automated and user-friendly tool to manipulate protein or gene sequences, GenBank and UniProt raw files, and transform them to human-readable format. The tool is developed to help the experimental biologists, without prior programming skills, to manipulate sequences quickly, easily and precisely. The methods implemented in Shetti are simple and basic commands with friendly user interface.

Article:
Haitham Sobhy; Shetti, a simple tool to parse, manipulate and search large datasets of sequences; Microbial Genomics; 2015; doi: 10.1099/mgen.0.000035; PMID: 28348820

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2015-06-14

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Please, do not hesitate to contact us if you need help. https://sites.google.com/view/hsa23/ Short linear motifs / domains (SLiM) facilitate the functions and interactions of the proteins. Finding functional motifs in protein sequences could predict the putative cellular roles or characteristics of hypothetical proteins. ShettiMotif, which is an interactive tool to (i) searches for motifs containing repeated residues (e.g. Leu-, SR-, PEST-rich motifs, etc.), (ii) searches for multiple pre-defined consensus patterns or experimentally validated functional motifs in large datasets protein sequences (proteome-wide), (iii) map UniProt and PROSITE flat files. ShettiMotif can parse large dataset of sequences efficiently. Article: Haitham Sobhy; A bioinformatics pipeline to search functional motifs within whole proteome data; poxviruses a case study; Virus Genes, 2017; doi: 10.1007/s11262-016-1416-9; PMID:
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