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Bioinformatics is an amalgamation of biology and information technology, which uses software to link biological data with techniques for information storage, distribution and analysis to support multiple areas of scientific research, including biomedicine.

Bioinformatics is a field of study that uses computation to extract knowledge from biological data. It includes the collection, storage, retrieval, manipulation and modelling of data for analysis, visualization or prediction through the development of algorithms and software.

Genome annotation

In the context of genomics, annotation is the process of marking the genes and other biological features in a DNA sequence. This process needs to be automated because most genomes are too large to annotate by hand, not to mention the desire to annotate as many genomes as possible, as the rate of sequencing has ceased to pose a bottleneck. Annotation is made possible by the fact that genes have recognisable start and stop regions, although the exact sequence found in these regions can vary between genes.

DNA sequencing

Before sequences can be analyzed they have to be obtained from the data storage bank example the Genbank. DNA sequencing is still a non-trivial problem as the raw data may be noisy or afflicted by weak signals. Algorithms have been developed for base calling for the various experimental approaches to DNA sequencing.

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Epigenetics is an upcoming field that studies the gene regulation of mitotically heritable genes which change the physiology of cells without altering the DNA sequence. Various epigenetic elements such as modification of histone proteins, methylation of DNA, chromatin modeling, and RNA-mediating silencing influence the regulation of genes at many levels, which leads to diseases such as cancer. All of these factors modulate gene expression in a tissue-specific manner.

Bioinformatics is a successful approach in the field of molecular biology for studying epigenomics data. To generate these epigenomic data which can be analyzed using various bioinformatics tools and software, a variety of technologies are being used by researchers.

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Many biological databases which store a huge amount of information related to the modifications due to epigenetics are available online. With the help of these data, we can identify key target genes that can be manipulated to achieve some resistance against diseases caused by epigenetic factors.

RNA transcripts

Sometimes a gene, after being turned on, transcribes a product that (directly or indirectly) maintains the activity of that gene. For example, Hnf4 and MyoD enhance the transcription of many liver-specific and muscle-specific genes, respectively, including their own, through the transcription factor activity of the proteins they encode.

MicroRNAs

MicroRNAs (miRNAs) are members of non-coding RNAs that range in size from 17 to 25 nucleotides. miRNAs regulate a large variety of biological functions in plants and animals.So far, in 2013, about 2000 miRNAs have been discovered in humans and these can be found online in a miRNA database.

Histone Modifications

When the chromatin structure is highly compact, the efficient recruitment and processivity of RNA Polymerase II (Pol Il) is impeded and transcription is thus hindered . The dysregulation of histone post-translational modification alters the chromatin structure and induces abnormal gene expression, which is correlated with the occurrence and development of diseases, especially cancers. Modifications of all four histones have been reported, but those affecting H3 and H4 are best understood . Among these histone modifications, the regulatory role and function of acetylation and methylation have been studied most intensively.

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Bioinformatics is an amalgamation of biology and information technology, which uses software to link biological data with techniques for information storage, distribution and analysis to support multiple areas of scientific research, including biomedicine.

Artificial Intelligence has found increasing applications in the field of bioinformatics. Machine Learning is a very powerful tool in bioinformatics which is highly useful in the prediction and pattern detection based on large datasets.

Common Applications of AI in Bioinformatics

Bioinformatics involves the collection, organization, and analysis of a huge amount of biological data. Handling of such a huge amount of data is beyond human beings and AI can help us to a great extent in this voluminous work. The following are some of the fields in Bioinformatics where AI usage is of great value.

DNA Sequencing

DNA sequencing is the process of determining the order of the four nucleotides – Adenine, Thymine, Guanine, and Cytosine in the DNA. Each organism has its own specific nucleotide base sequence. Although the double helix nature of the DNA was discovered long back in 1953, it was not possible to carry out complete DNA sequencing considering the huge data crunching involved. This was made possible by the advancement of Artificial Intelligence and the associated data handling ability. Using these advancements, the mapping of the human genome was completed in 2003. The DNA sequencing has also brought forth a new discipline called pharmacogenomics which is leading the way to more personalized medicines.

Machine Learning in Biology

Presently a large list of bioinformatics tools and softwares are available which are based on machine learning. The twin of Bioinformatics, called Computational Biology have emerged largely into development of softwares and application using machine learning and deep learning techniques for biological image data analysis.

According to the Science news, biologist are increasingly turning into Data Scientist as Bioinformatics Data Scientist or Genomic Data Scientist. The market of bioinformatics and career needs in bioinformatics is increasing each year. It is predicted that in the near future, there will be a huge need for people having bioinformatics skills.

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Download PDF Brochure of Study, Click Here!

Bioinformatics is an amalgamation of biology and information technology, which uses software to link biological data with techniques for information storage, distribution and analysis to support multiple areas of scientific research, including biomedicine.

Artificial Intelligence has found increasing applications in the field of bioinformatics. Machine Learning is a very powerful tool in bioinformatics which is highly useful in the prediction and pattern detection based on large datasets.

Common Applications of AI in Bioinformatics

Bioinformatics involves the collection, organization, and analysis of a huge amount of biological data. Handling of such a huge amount of data is beyond human beings and AI can help us to a great extent in this voluminous work. The following are some of the fields in Bioinformatics where AI usage is of great value.

DNA Sequencing

DNA sequencing is the process of determining the order of the four nucleotides – Adenine, Thymine, Guanine, and Cytosine in the DNA. Each organism has its own specific nucleotide base sequence. Although the double helix nature of the DNA was discovered long back in 1953, it was not possible to carry out complete DNA sequencing considering the huge data crunching involved. This was made possible by the advancement of Artificial Intelligence and the associated data handling ability. Using these advancements, the mapping of the human genome was completed in 2003. The DNA sequencing has also brought forth a new discipline called pharmacogenomics which is leading the way to more personalized medicines.

Machine Learning in Biology

Presently a large list of bioinformatics tools and softwares are available which are based on machine learning. The twin of Bioinformatics, called Computational Biology have emerged largely into development of softwares and application using machine learning and deep learning techniques for biological image data analysis.

According to the Science news, biologist are increasingly turning into Data Scientist as Bioinformatics Data Scientist or Genomic Data Scientist. The market of bioinformatics and career needs in bioinformatics is increasing each year. It is predicted that in the near future, there will be a huge need for people having bioinformatics skills.

Get full informaton and PDF sample of Bioinformatics

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Download PDF Brochure of Study, Click Here!

Bioinformatics is an amalgamation of biology and information technology, which uses software to link biological data with techniques for information storage, distribution and analysis to support multiple areas of scientific research, including biomedicine.

Bioinformatics is a field of study that uses computation to extract knowledge from biological data. It includes the collection, storage, retrieval, manipulation and modelling of data for analysis, visualization or prediction through the development of algorithms and software.

Genome annotation

In the context of genomics, annotation is the process of marking the genes and other biological features in a DNA sequence. This process needs to be automated because most genomes are too large to annotate by hand, not to mention the desire to annotate as many genomes as possible, as the rate of sequencing has ceased to pose a bottleneck. Annotation is made possible by the fact that genes have recognisable start and stop regions, although the exact sequence found in these regions can vary between genes.

DNA sequencing

Before sequences can be analyzed they have to be obtained from the data storage bank example the Genbank. DNA sequencing is still a non-trivial problem as the raw data may be noisy or afflicted by weak signals. Algorithms have been developed for base calling for the various experimental approaches to DNA sequencing.

Want to know more about Bioinformatics of Genome Regulation and Systems Biology..?

Get full informaton and PDF sample of Bioinformatics of Genome Regulation and Systems Biology

source: theinsightpartners

Download PDF Brochure of Study, Click Here!

Bioinformatics is an amalgamation of biology and information technology, which uses software to link biological data with techniques for information storage, distribution and analysis to support multiple areas of scientific research, including biomedicine.

Bioinformatics is a field of study that uses computation to extract knowledge from biological data. It includes the collection, storage, retrieval, manipulation and modelling of data for analysis, visualization or prediction through the development of algorithms and software.

Sequences

Computers became essential in molecular biology when protein sequences became available after Frederick Sanger determined the sequence of insulin in the early 1950s. Comparing multiple sequences manually turned out to be impractical. A pioneer in the field was Margaret Oakley Dayhoff.She compiled one of the first protein sequence databases, initially published as books and pioneered methods of sequence alignment and molecular evolution.Another early contributor to bioinformatics was Elvin A. Kabat, who pioneered biological sequence analysis in 1970 with his comprehensive volumes of antibody sequences released with Tai Te Wu between 1980 and 1991.

Machine Learning in Biology

Presently a large list of bioinformatics tools and softwares are available which are based on machine learning. The twin of Bioinformatics, called Computational Biology have emerged largely into development of softwares and application using machine learning and deep learning techniques for biological image data analysis.

According to the Science Daily news, biologist are increasingly turning into Data Scientist as Bioinformatics Data Scientist or Genomic Data Scientist. The market of bioinformatics and career needs in bioinformatics is increasing each year. It is predicted that in the near future, there will be a huge need for people having bioinformatics skills.

Get full informaton and PDF sample of Bioinformatics

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