Abstract

The massive extension in biological data induced a need for user-friendly bioinformatics tools could be used for routine biological data manipulation. Bioanalyzer is a simple analytical software implements a variety of tools to perform common data analysis on different biological data types and databases. Bioanalyzer provides general aspects of data analysis such as handling nucleotide data, fetching different data formats information, NGS quality control, data visualization, performing multiple sequence alignment and sequence BLAST. These tools accept common biological data formats and produce human-readable output files could be stored on local computer machines. Bioanalyzer has a user-friendly graphical user interface to simplify massive biological data analysis and consume less memory and processing power. Bioanalyzer source code was written through Python programming language which provides less memory usage and initial startup time. Bioanalyzer is a free and open source software, where its code could be modified, extended or integrated in different bioinformatics pipelines. Bioinformatics Produce huge data in FASTA and Genbank format which can be used to produce a lot of annotation information which can be done with Python programming language that open the door form bioinformatics tool due to their elasticity in data analysis and simplicity which inspire us to develop new multiple tool software able to manipulate FASTA and Genbank files. The goal Develop new software uses Genomic data files to produce annotated data. Software was written using python programming language and biopython packages.

Highlights

  • The massive extension in biological data induced a need for user-friendly bioinformatics tools could be used for routine biological data manipulation

  • Bioinformatics Produce huge data in FASTA and Genbank format which can be used to produce a lot of annotation information which can be done with Python programming language that open the door form bioinformatics tool due to their elasticity in data analysis and simplicity which inspire us to develop new multiple tool software able to manipulate FASTA and Genbank files

  • Biopython is python library for Genomic data analysis and annotation provides plethora on scripts such as: data reading and extracting from FASTA and Genbank files, Multiple Sequence Alignment, BLAST searching against NCBI database and even accessing to the NCBI database itself [5]

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Summary

Bioinformatics Data Set

Bioinformatics has evolved and expanded continuously over the past years and has become very important basic demand in life science research. There is an enormous growth of biological data on network and databases due to the massive amount of research done daily. The public databases growth rate is increasing exponentially over years, for example: NCBI Gene database and Protein database, nucleotide database reached 24, 300 and 210 million records in 2016 and have 13.8%, 37.7% and 5.2% annually growth rate, respectively [1]

User-Friendly Bioinformatics Tools
Similar Multiple Tools Softwares
Bioanalyzer
Biopython
Tkinter Designing Graphical User Interface
Converting Python to Stand-Alone Executable Application
Results and Discussion
Conclusion
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