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  2. FASTA format - Wikipedia

    en.wikipedia.org/wiki/FASTA_format

    This allows a sequence that was obtained from a database to be labelled with a reference to its database record. The database identifier format is understood by the NCBI tools like makeblastdb and table2asn. The following list describes the NCBI FASTA defined format for sequence identifiers. [9]

  3. List of sequence alignment software - Wikipedia

    en.wikipedia.org/wiki/List_of_sequence_alignment...

    Linking and profiling sequence alignment data from NCBI-BLAST results with major sequence analysis servers/services: Nucleotide, peptide: 2010 SAM Local and global search with profile Hidden Markov models, more sensitive than PSI-BLAST: Both: Karplus K, Krogh A [15] 1999 SSEARCH Smith-Waterman search, slower but more sensitive than FASTA: Both ...

  4. Open reading frame - Wikipedia

    en.wikipedia.org/wiki/Open_reading_frame

    The output is the predicted peptide sequences in the FASTA format, and a definition line that includes the query ID, the translation reading frame and the nucleotide positions where the coding region begins and ends. OrfPredictor facilitates the annotation of EST-derived sequences, particularly, for large-scale EST projects.

  5. National Center for Biotechnology Information - Wikipedia

    en.wikipedia.org/wiki/National_Center_for...

    The NCBI assigns a unique identifier (taxonomy ID number) to each species of organism. [5] The NCBI has software tools that are available through web browsers or by FTP. For example, BLAST is a sequence similarity searching program. BLAST can do sequence comparisons against the GenBank DNA database in less than 15 seconds.

  6. FASTA - Wikipedia

    en.wikipedia.org/wiki/FASTA

    FASTA is a DNA and protein sequence alignment software package first described by David J. Lipman and William R. Pearson in 1985. [1] Its legacy is the FASTA format which is now ubiquitous in bioinformatics .

  7. UniProt - Wikipedia

    en.wikipedia.org/wiki/UniProt

    UniRef100 sequences are clustered using the CD-HIT algorithm to build UniRef90 and UniRef50. [20] [21] Each cluster is composed of sequences that have at least 90% or 50% sequence identity, respectively, to the longest sequence. Clustering sequences significantly reduces database size, enabling faster sequence searches.

  8. Sequence database - Wikipedia

    en.wikipedia.org/wiki/Sequence_database

    In the field of bioinformatics, a sequence database is a type of biological database that is composed of a large collection of computerized ("digital") nucleic acid sequences, protein sequences, or other polymer sequences stored on a computer.

  9. Autophagy database - Wikipedia

    en.wikipedia.org/wiki/Autophagy_database

    FASTA sequence is also available for sequence analysis using sites such as BLAST. Specific uses available to Autophagy database and Human autophagy database are shown below. Autophagy database has several available functions to search for autophagy-related proteins in different species.