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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...

    MSF format as written by PILEUP, READSEQ, or SEQIO (fmtseq); ALN format as written by ClustalW Free, public domain: No MSDOS, VMS Official website: CINEMA No, but can read-show 2D structure annotations ClustalW No Dotplot, 6 frame translation, Blast Nexus, MSF, Clustal, FASTA, PHYLIP, PIR, PRINTS Proprietary, freeware: No

  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. 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 ...

  7. FASTQ format - Wikipedia

    en.wikipedia.org/wiki/FASTQ_format

    The FAST4 format was invented as a derivative of the FASTQ format where each of the 4 bases (A,C,G,T) had separate probabilities stored. It was part of the Swift basecaller, an open source package for primary data analysis on next-gen sequence data "from images to basecalls". The FAST5 format was invented as an extension of the FAST4 format.

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