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Annals of Clinical and Laboratory Research

  • ISSN: 2386-5180
  • Journal h-index: 19
  • Journal CiteScore: 5.42
  • Journal Impact Factor: 4.64
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
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Abstract

Bio-Stamp: Simple Tool for Routine Biological Data Analysis

Peter Tharwat Habib, Alsamman Mahmoud Alsamman and Aladdin Hamwieh

The massive extension in biological data induced a need for user-friendly bioinformatics tools could be used for routine biological data manipulation. Bio-Stamp is a simple analytical software implements variety of tools to perform common data analysis on different biological data types and databases. Bio-Stamp provide 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 humanreadable output files could be stored on local computer machines. Bio-Stamp has a user-friendly graphical user interface to simplify massive biological data analysis and consume less memory and processing power. Bio-Stamp source code was written through Python programming language which provides less memory usage and initial start-up time. Bio-Stamp is free and open source software, where its code could be modified, extended or integrated in different bioinformatics pipelines.