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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
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 ...
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.
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.
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 ...
Most of the time taken by the naive algorithm is spent performing comparisons between items in the sequences. For textual sequences such as source code, you want to view lines as the sequence elements instead of single characters. This can mean comparisons of relatively long strings for each step in the algorithm.
Darwin is a closed source [1] programming language developed by Gaston Gonnet and colleagues at ETH Zurich. [2] [3] It is used to develop the OMA orthology inference software, [4] which was also initially developed by Gonnet. [5]
The most common sequencing method is the shotgun method, which is the method most probably used on sequence 2. Once a method is decided on, you have to specify the length of the bp reads you would like it to return. In the case of sequence 2, it returned 7-bp reads with all errors made during the process noted in red. [4]