Bioinformatics handbook

  • How can I get better at bioinformatics?

    A bioinformatics solution usually involves the following steps: Collect statistics from biological data.
    Build a computational model.
    Solve a computational modeling problem.
    Test and evaluate a computational algorithm..

  • How does bioinformatics work?

    Use Familiar Examples. “Familiarity breeds relevance.” When learning new concepts or putting new tools into action, try and find examples to use that you're more familiar with.
    It's easier to learn and improve your bioinformatics skills when you can relate the research to yourself..

  • How to learn bioinformatics?

    Bioinformatics, as related to genetics and genomics, is a scientific subdiscipline that involves using computer technology to collect, store, analyze and disseminate biological data and information, such as DNA and amino acid sequences or annotations about those sequences..

  • How to study bioinformatics?

    How to Learn Bioinformatics: Step-by-Step

    1Learn biology.
    Study the area of biology associated with the field of bioinformatics you are interested in.
    2) Study computer programming.
    Learn a programming language commonly used in bioinformatics.
    3) Choose a course.
    4) Study statistics.
    5) Start practicing bioinformatics..

  • What are the basics of bioinformatics?

    Bioinformatics uses biology, chemistry, physics, computer science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data.
    The subsequent process of analyzing and interpreting data is referred to as computational biology..

  • What are the principles of bioinformatics?

    Core Principles
    Transparent: All steps in data acquisition, processing, and analysis must be clearly described using documented methods and freely available tools.
    Reproducible: All steps in data acquisition, processing, and analysis must be repeatable by second parties, and must generate equivalent results..

  • What is the aim and scope of bioinformatics?

    Bioinformatics focuses its scope on the areas of 3D image processing, 3D modeling of living cells, image analysis, drug development, and a lot more.
    The most important application of bioinformatics can be seen in the field of medicine, where its data is used to create antidotes for infectious and harmful diseases..

  • What is the concept of bioinformatics?

    Bioinformatics is defined as the application of tools of computation and analysis to the capture and interpretation of biological data.
    It is an interdisciplinary field, which harnesses computer science, mathematics, physics, and biology (fig ​ 1)..

  • Who introduced bioinformatics?

    The term bioinformatics was coined by Paulien Hogeweg and Ben Hesper to describe “the study of informatic processes in biotic systems” and it found early use when the first biological sequence data began to be shared..

  • Bioinformatics is a tool that helps researchers decipher the human genome, look at the global picture of a biological system, develop new biotechnologies, or perfect new legal and forensic techniques, and it will be used to create the personalized medicine of the future.
  • Bioinformatics is an emerging branch of biological science that emerged from the combination of both biology and information technology.
  • Bioinformatics tools are software programs that are designed for extracting the meaningful information from the mass of molecular biology / biological databases & to carry out sequence or structural analysis.
  • Bioinformatics tools can be used to identify and annotate genes, analyze gene expression patterns, and compare genomes across species.
    This information can be used to develop new biotechnology applications, such as gene therapy, personalized medicine, and the development of new drugs.
  • Biostatisticians are also members of interdisciplinary biomedical research teams whose role is to ensure optimal use of data to answer specific biomedical research questions.
    Bioinformatics is an interdisciplinary field that develops methods and computational tools for understanding high-dimensional biomedical data.
The Biostar Handbook introduces readers to bioinformatics, the scientific discipline at the intersection of biology, computer science, and statistical data  What is bioinformatics?Course: Applied BioinformaticsThe bwa aligner
The Biostar Handbook introduces readers to bioinformatics, the scientific discipline at the intersection of biology, computer science, and statistical data 

What books are available in bioinformatics & RNA-Seq?

Each volume is also available for download as a .pdf.
The Biostar Handbook - An introduction to Bioinformatics as a scientific field.
The Art of Bioinformatics Scripting - Learn advanced Unix and Bash scripting skills.
RNA-Seq by Example - Master RNA-Seq data analysis.

What is a bioinformatics Handbook?

It is a comprehensive, practical handbook that aims to cover (though it is not quite there yet) all major application areas of bioinformatics.
Special thanks go to Biostar users GenoMax , shenwei356 and Jeremy Leipzig who have contributed entire pages or sections to the book.

What is a good introduction to bioinformatics?

The Biostar Handbook- An introduction to Bioinformatics as a scientific field.
The Art of Bioinformatics Scripting- Learn advanced Unix and Bash scripting skills.
RNA-Seq by Example- Master RNA-Seq data analysis.
Corona Virus Genome Analysis- Advanced topics devoted to the study of the Corona Virus.

Unique identifier given to DNA or a protein sequence

An accession number, in bioinformatics, is a unique identifier given to a DNA or protein sequence record to allow for tracking of different versions of that sequence record and the associated sequence over time in a single data repository.
Because of its relative stability, accession numbers can be utilized as foreign keys for referring to a sequence object, but not necessarily to a unique sequence.
All sequence information repositories implement the concept of accession number but might do so with subtle variations.

Unique identifier given to DNA or a protein sequence

An accession number, in bioinformatics, is a unique identifier given to a DNA or protein sequence record to allow for tracking of different versions of that sequence record and the associated sequence over time in a single data repository.
Because of its relative stability, accession numbers can be utilized as foreign keys for referring to a sequence object, but not necessarily to a unique sequence.
All sequence information repositories implement the concept of accession number but might do so with subtle variations.

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