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In bioinformatics and biochemistry, the FASTA format is a text-based format for representing either nucleotide sequences or amino acid (protein) sequences, in which nucleotides or amino acids are represented using single-letter codes.
The fourth is a great example of how interactive graphical tools enable a worker involved in sequence analysis to conveniently execute a variety if different computational tools to explore an alignment's phylogenetic implications; or, to predict the structure and functional properties of a specific sequence, e.g., comparative modelling.
PlasMapper (Plasmid Mapper) [1] is a freely available web server that automatically generates and annotates high-quality circular plasmid maps. It is a particularly useful online service for molecular biologists wishing to generate plasmid maps without having to purchase or maintain expensive, commercial software.
FASTA: Local search with fast k-tuple heuristic, slower but more sensitive than BLAST: Both: GGSEARCH, GLSEARCH Global:Global (GG), Global:Local (GL) alignment with statistics: Protein: Genome Magician Software for ultra fast local DNA sequence motif search and pairwise alignment for NGS data (FASTA, FASTQ). DNA: Hepperle D (www.sequentix.de ...
The elements that a workflow consists of correspond to the bulk of algorithms integrated into UGENE. Using Workflow Designer also allows creating custom workflow elements. The elements can be based on a command-line tool or a script. Workflows are stored in a special text format. This allows their reuse, and transfer between users.
seq2HLA is an annotation tool for obtaining an individual's HLA class I and II type and expression using standard NGS RNA-Seq data in fastq format. It comprises mapping RNA-Seq reads against a reference database of HLA alleles using bowtie, determining and reporting HLA type, confidence score and locus-specific expression level.
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LOCtarget is a tool for predicting, and a database of pre-computed predictions for, sub-cellular localization of eukaryotic and prokaryotic proteins. Several methods are employed to make the predictions, including text analysis of SWISS-PROT keywords, nuclear localization signals, and the use of neural networks. (bio.tools entry) [41]
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