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  2. List of open-source bioinformatics software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    Java library functions for manipulating sequences, protein structures, file parsers, CORBA interoperability, Distributed Annotation System (DAS), access to AceDB, dynamic programming, and simple statistical routines Linux, macOS, Windows: LGPL v2.1 Open Bioinformatics Foundation: BioJS: JavaScript library of components to visualize biological data

  3. BioJava - Wikipedia

    en.wikipedia.org/wiki/BioJava

    BioJava is an open-source software project dedicated to provide Java tools to process biological data. [1] [2] [3] BioJava is a set of library functions written in the programming language Java for manipulating sequences, protein structures, file parsers, Common Object Request Broker Architecture (CORBA) interoperability, Distributed Annotation System (DAS), access to AceDB, dynamic ...

  4. List of RNA-Seq bioinformatics tools - Wikipedia

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

    SpliceSEQ SpliceViewer is a Java application that allows researchers to investigate alternative mRNA splicing patterns in data from high-throughput mRNA sequencing studies. Sequence reads are mapped to splice graphs that unambiguously quantify the inclusion level of each exon and splice junction.

  5. Shortest common supersequence - Wikipedia

    en.wikipedia.org/wiki/Shortest_common_supersequence

    In the shortest common supersequence problem, two sequences X and Y are given, and the task is to find a shortest possible common supersequence of these sequences. In general, an SCS is not unique. For two input sequences, an SCS can be formed from a longest common subsequence (LCS) easily.

  6. Longest common subsequence - Wikipedia

    en.wikipedia.org/wiki/Longest_common_subsequence

    They match, so G is appended to the upper left sequence, LCS(R 0, C 1), which is (ε), giving (εG), which is (G). For LCS(R 1, C 3), G and C do not match. The sequence above is empty; the one to the left contains one element, G. Selecting the longest of these, LCS(R 1, C 3) is (G). The arrow points to the left, since that is the longest of the ...

  7. Sequence clustering - Wikipedia

    en.wikipedia.org/wiki/Sequence_clustering

    In bioinformatics, sequence clustering algorithms attempt to group biological sequences that are somehow related. The sequences can be either of genomic , " transcriptomic " ( ESTs ) or protein origin.

  8. Dot plot (bioinformatics) - Wikipedia

    en.wikipedia.org/wiki/Dot_plot_(bioinformatics)

    The main diagonal represents the sequence's alignment with itself; lines off the main diagonal represent similar or repetitive patterns within the sequence. In bioinformatics a dot plot is a graphical method for comparing two biological sequences and identifying regions of close similarity after sequence alignment. It is a type of recurrence plot.

  9. Velvet assembler - Wikipedia

    en.wikipedia.org/wiki/Velvet_assembler

    To overcome these issues, dynamic sequencing programs that are efficient, highly cost effective and able to resolve errors and repeats were developed. Velvet algorithms was designed for this and are able to perform short read de novo sequencing alignment in relatively short computational time and with lower memory usage compared to other ...