Bioinformatics

In this Page you will get to know free learning resources for Bioinformatics ana Biotechnology. Free Learning Resources Below are some free resources to start learning some of the skills you will need. SPSS:  The   SPSS-Tutorials  website contains a very nice tutorials. SAS:  Furthermore, SASCrunch provides a  list  of free resources to help you learn SAS. Python:  If you are just a beginner of python, “Bioinformatics Programming Using Python: Practical Programming for Biological Data” from O’Reilly is a good starting point. After that, you should get familiar with  numpy  for vectorized array computation.   scipy  is also very useful for some special functions or linear algebra. If you really want to process large data, you will need to understand some of the python-C binding (e.g.  SWIG ,  ctypes ,  Cython , etc.) for high performance data processing in C and manipulation in python. R:  David Romney ...

In this page you will come to know the complete History of Bioinformatics. History of Bioinformatics The Modern bioinformatics is can be classified into two broad categories, Biological Science and computational Science. Here is the data of historical events for both biology and computer science. Introduction: The history of biology in general, B.C. and before the discovery of genetic inheritance by G. Mendel in 1865, is extremely sketch and inaccurate. This was the start of Bioinformatics history. Gregor Mendel. is known as the "Father of Genetics". He did experiment on the cross-fertilization of different colors of the same species. He carefully recorded the data and analyzed the data. Mendel illustrated that the inheritance of traits could be more easily explained if it was controlled by factors passed down from generation to generation. The understanding of genetics has advanced remarkably in the last thirty years. In 1972, Paul berg made the first recombinant DNA molecu...

Essay on Biotechnology/Bioinformatics: "Bioinformatics can be defined as a branch of science where one can interpret, compare and analyse biological data. It has emerged as a new discipline trying to solve complex problems in life sciences, particularly in biotechnology" Data capture, data warehousing and data mining have become major issues for biotechnologists and biological scientists due to sudden growth in quantitative data in biology such as, complete genomes of biological species, including human genome, protein sequences, protein 3-dimensional structures, metabolic pathway databases, cell lines, biodiversity related information. Advancement in information technology, particularly Internet is being used to gather, access and disseminate the ever- increasing information in biology and biotechnology. Bioinformatics is a very broad field and it encompasses issues like mapping, sequencing, sequence comparison, gene identification, protein modeling, network databases, visua...

In this Page you will come to know about the skill required to be a Bioinformatician. Skills Required to Be a Bioinformatician Bioinformatics Skills –  You need to learn how to use: Sequence alignment tools such as  Blast  or  Bowtie The Genome Analysis Toolkit ( GATK ) Software for Next Generation Sequencing, Microarray, qPCR, and Data Analysis ( Partek ) Tools for handling high throughput sequencing data like ( samtools ) To get gene data sets use a tool such as ( Ensemble ) Tools for database search systems like ( Entrez ) Statistical Skills –  You need to learn: Statistical software systems such as  SPSS  and  SAS How to do statistical analyses with  Python  or  R Programming Skills –  You should be familiar with: One or more of these programming languages: R,  Perl , Python,  Java  and Matlab Machine learning tools and libraries such as  Mllib  and  Scikit-Learn  in python are very useful...

In this page we will see about all application of Bioinformatics. Application of Bioinformatics: Its major applications include in the following fields: Molecular medicine The human genome will have profound effects on the fields of biomedical research and clinical medicine. The completion of the human genome and the use of bioinformatic tools means that we can search for the genes directly associated with different diseases and begin to understand the molecular basis of these diseases more clearly. This new knowledge of the molecular mechanisms of disease will enable better treatments, cures and even preventative tests to be developed. Personalised medicine Clinical medicine will become more personalised with the development of the field of pharmacogenomics. This is the study of how an individual’s genetic inheritence affects the body’s response to drugs. Today, doctors have to use trial and error to find the best drug to treat a particular patient as those with the same c...

In this page we will see all about Bioinformatics information. Bioinformatics- Introduction and Applications: With a large number of prokaryotic and eukaryotic genomes completely sequenced and more forthcoming, access to the genomic information and synthesizing it for the discovery of new knowledge have become central themes of modern biological research. Mining the genomic information requires the use of sophisticated computational tools. It therefore becomes imperative for the new generation of biologists to initiate and familiarize with a field of study that is concerned with the careful storage, organization and indexing of information in order to tackle the new challenges in the genomic era. Information science has been applied to biology to produce a field is called bioinformatics. It is concerned with the state of- the-art computational tools available to solve biological research problems. The term bioinformatics was coined by Paulien Hogeweg and Ben Hesper to describe “the...

  " The authority of those who teach is often an obstacle to those who learn" Top countries to study bioinformatics: Here are some top countries to study bioinformatics to acquire more knowledge. List of 30 countries with significant impact in bioinformatics and highly cited publications Country h -index rank  h -index top 1% rank United States  427  1  1  United Kingdom  273  2  2  Germany  233  3  3  France  187  4  5  Canada  174  5  6  Switzerland  162  6  8  China  160  7  19  Australia  142  8  10  Spain  139  9  12  Japan  139  9  4  Netherlands  136  11  9  Sweden  129  12  11  Italy  127  13  7  Denmark  120  14  14  Israel  120  14  15  Belgium  116  ...

  Job roles of bioinformatics students: What are the job roles? Professor Science Technician Research Assistant Bioinformatics Scientist Bioinformatics Analyst Junior Research Fellow Research Associate Bioinformatics Software Developer To find more information on jobs related to bioinformatics, you may  click here .

The scope of bioinformatics in various countries is high. What is the scope? Current biological and medical labs use methods that produce extremely large data sets, which cannot be analyzed by hand - for instance sequencing human genomes. Thus modern biological and medical research and development cannot be done without bioinformatics. Future applications in biology, chemistry, pharmaceuticals, medicine, and agriculture. In addition, bioinformatics plays an important role in biomedical research. Research work in the area of genetic diseases and medical genomics is rapidly increasing and the future of personalized medicine depends on bioinformatics approaches

Definitely yes, coding is necessary for bioinformatics. Since it is an interdisciplinary field, it requires expertise in both computer science and biology. Programming skills -C, C++, Perl, Shell, Python,( with knowledge of Linux system) Statistics with R Programming Bioinformatics Databases – NCBI, Entrez, UniProt, Swissprot, MySQL, PDB, and others. Tool kits – Scaffold, Protmax, Indigo, Swissdock, OEchem, and others. Data Mining (Extraction of data) and data analysis Data Visualization (Visualizing the extracted data using simulations) Molecular Biology &Genetics Learning bioinformatics software These skill sets may not be necessarily be taken up by paid classes or university credits, simple free MOOCs on websites like Coursera, Edx, and Udacity are available for help.

What is bioinformatics?  Bioinformatics is an interdisciplinary field which combines  Biology, Information technology, Computer engineering, Statistics and Life sciences. As the definition of bioinformatics is easy, the study of bioinformatics is not easy as compared to other fields since it include more than four field in it. All these knowledge of other fields are used by bioinformatics scientists to computate a gene or microscopic biological substances digitally to study about it further. For eg: The Corona virus must be computated digitally by bioinformatician to study about its structure to find a medicine against it.