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  2. FASTA format - Wikipedia

    en.wikipedia.org/wiki/FASTA_format

    In the original Pearson FASTA format, one or more comments, distinguished by a semi-colon at the beginning of the line, may occur after the header. Some databases and bioinformatics applications do not recognize these comments and follow the NCBI FASTA specification. An example of a multiple sequence FASTA file follows:

  3. Fast statistical alignment - Wikipedia

    en.wikipedia.org/wiki/Fast_statistical_alignment

    Fast statistical alignment or FSA is a multiple sequence alignment program for aligning many proteins, RNAs, or long genomic DNA sequences.Along with MUSCLE and MAFFT, FSA is one of the few sequence alignment programs which can align datasets of hundreds or thousands of sequences.

  4. List of alignment visualization software - Wikipedia

    en.wikipedia.org/wiki/List_of_alignment...

    The first two are a natural consequence of most representations of alignments and their annotation being human-unreadable and best portrayed in the familiar sequence row and alignment column format, of which examples are widespread in the literature.

  5. 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 .

  6. Sequence alignment - Wikipedia

    en.wikipedia.org/wiki/Sequence_alignment

    Sequence alignments can be stored in a wide variety of text-based file formats, many of which were originally developed in conjunction with a specific alignment program or implementation. Most web-based tools allow a limited number of input and output formats, such as FASTA format and GenBank format and the

  7. List of RNA-Seq bioinformatics tools - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA-Seq...

    The input can be SAM, BAM, FASTA, BED files or Chromosome size file (two-column, plain text file). Visualization can be performed by genome browsers like UCSC, IGB and IGV. However, R scripts can also be used for visualization. SAMStat [15] identifies problems and reports several statistics at different phases of the process. This tool ...

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