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In today’s world, data handling is significant in every field including biology. Bioinformatics is a complex area of study that incorporates the use of mathematics, computer science, statistics and engineering for interpreting and processing biological data. It monitors development and improvement of the methods of organizing, fetching, storing, and analyzing biological data.
As the name defines, bioinformatics is the combination of biology and technology. Thus, it is an interdisciplinary field of study that uses the methods of computer software and hardware for the acquisition, storage analysis and visualization of biological information. The term bioinformatics was coined by PaulienHogeweg and Ben Hesper in 1970 as a study of information processes in biotic systems. It is a new subject of great importance for students who gets enrolled in this subject, to attain a unique position in society and career. However, students working on Bioinformatics assignments often face certain challenges;
Bioinformatics assignment help not only aids students with their subject research and structure but also help them excel in performing any biological calculations.
Bioinformatics focus on the following key components:
It offers wide usage in biological disciplines including Neuroscience, Computational Biology, Genetics, Biotechnology, Cellular and Molecular Biology.
Students seeking help with Bioinformatics homework must acquire a deep understanding of the following topics or subjects that fall under Bioinformatics.
Algorithms in Biology - This topic focuses on algorithms for solving various biological problems along with a series of challenges that helps in performing these algorithms in python assignment help. The area of interest includes protein structure analysis and classifications, annotation of genes and genome analysis, molecular evolution and docking, biological sequence comparison and algorithms for RNA structure.
Algorithms for structure and function in Biology - This branch of science includes all the essential information about DNA, proteins, carbohydrates and their metabolism. The study involves the analysis of three types of data namely, genomic data, transcription and expression data and structural data.
Applications of microarray technology - This course comprises basic concept of microarray technology and its application within cancer classifications and diagnostics, viral and bacterial diagnostics, antibody arrays for biomarker discovery, proteome arrays, and stem cell biology. Microarray technology has extensive application in gene discovery, disease diagnosis, drug discovery and toxicological research.
Biomedical Informatics - The study optimizes the flow of information in medical education, healthcare, and biomedical research. It examines techniques for analyzing current information practices, discovering the information needs of healthcare providers and patients, advising in molecular biology and genomic research, estimating interventions with computer technology, and analyzing its impact.
Computational Genomics - The subject area of computational genomics includes analysis of genomics sequences and its application, epigenomics, polymorphism and variant analysis, and data visualization. It also covers basic statistics, latest technologies, and computational methodologies.
Computational methods for analysis and reconstruction of biological networks - The major area of interests under this subject includes protein-protein interactions, genetics interactions, metabolic networks and regulatory networks. Additionally, it focuses on analyzing biological network structure, methods for evaluating properties of biological networks and techniques for reconstructing networks.
Computer Applications in Molecular Biology - Bioinformatics merge the advances in molecular biology with the power of computer-based information. The topic covers the use of computers for DNA sequence work, computer science application in biotechnology, use of electronic assets for molecular biology and genomics, advanced database search, multiple sequence analysis and protein structure.
DNA Sequencing and Assembly - DNA sequence is the process of understanding the hierarchy of nucleotides in DNA molecules using methods and techniques. DNA sequencing and assembly is a process of taking the set of DNA sequence fragments and compiling them to form fully assembled genome. The subject involves the study of methods of DNA assembly and algorithms for analyzing DNA sequencing data.
Genomics - The unit of study describes the application of genomics to the study of gene function in humans and model organisms, genetic variations and molecular evolutions. It helps students in performing genetic mapping and determining and analyzing full DNA sequence data to find variations that affect health and disease response.
Tree of Life and Comparative Genomics - The course demonstrates how the living organisms are related to and affected by the tree of life. The area of study includes why and how to sequence genomes, how to evaluate their data, and how genomes understanding from across the entire tree of life (comparative genomics) raise fundamental questions in biology.
Bioinformatics assignment help not only aims to provide theoretical insights to students but also help them in developing their practical skills by acquiring the working knowledge of software and tools used for performing Bioinformatics research. From simple tools to complex graphical programs, there are plenty of tools available for Bioinformatics.
In day-to-day work, Bioinformatics is performed using sequence search programs such as BLAST (Basic Logical Alignment Search Tool), Sequence analysis program like EMBOSS (European Molecular Biology Open Software Suite), Structure prediction program including THREADER or molecular imaging programs such as RasMol.
Generally, there is data-mining software that is used for obtaining data from a genomic sequence database. Also, there are visualization tools to interpret and fetch information from proteomic databases. They are classified as following:
Protein Function Analysis - This type of programs helps in comparing protein sequence with the secondary protein databases containing information on signature and protein domains. It further providesthe approximate biochemical function of the query protein.
Homology and Similarity Tools - Homologous sequence is protein or DNA sequence, explained in terms of shared ancestry. Homology between DNA or proteins is understood by their sequence similarity. This set of tools is used to discover the similarity between query sequences having unknown structure and function and database sequence of exemplified structure and function.
Structural Analysis - Structural analysis tools provide the comparison between structure and unknown structure database. Here, protein is primarily a consequence of its structure instead of its sequence with structural homologs tending to share functions. The evaluation of protein structure is vital to study its function.
Sequence Analysis - These tools are available for conducting a detailed analysis of query sequence. It involves identification of mutations, transformative analysis, hydropathy regions, CpG islands and distributional biases. These and other biological properties aid in demonstrating the specific function of sequence.
Bioinformatics is an intriguing area that combines numerous disciplines to analyze and perform biological calculations. It is extensively used in various biological disciplines. Having an understanding of Bioinformatics implications in various areas help students to wisely choose their assignment topic and career path. Some of the areas with significant usage of Bioinformatics are as follows:
Microbiology - Bioinformatics is used by scientists as a part of their methodology to understand theories of genomics. They use bioinformatics tools to study genomes of various microbes. This gives insights into various underlying characteristics of the microbes and helps to isolate the genes in order to give microbes their unique abilities. Bioinformatics tools are used to study microbes to apply them for waste cleanup, antibiotic resistance, climate change, energy source substitute, biotechnology and epidemiological studies.
Forensic Analysis - Bioinformatics tools are widely used by forensic analysts for accessing databases of bioinformatics to match biological evidence with the available data. For instance, in a crime scene, the DNA sample of scattered blood can be used to match it with available database profiles to diagnose its origin that aid in finding the culprit.
Medicines - Bioinformatics are considerably used in the field of medicines for the following purposes:
Agriculture - The knowledge of genomes of plants and animals can play a significant role in the field of agriculture. This knowledge of genetic sequencing and analysis using bioinformatics tools can be used in producing stronger breeds and productive crops that are resistant to insects, pests, etc.
Bio-weapon - Nowadays, the online available data of complete genomes of many organisms makes it easy to create synthetic organisms using cutting-edge genetic engineering tools and technologies. These genomes organisms can be designed in such a way that it can be used for biological warfare.
In addition to the aforementioned disciplines, bioinformatics tools and databases are adequately used for basic research in the various field of study including evolutionary and comparative genomics, functional genomics, genome-wide association analysis and much more.
The field of bioinformatics opens the doors for students gaining a specialization in bioinformatics to explore multiple career options. Being interdisciplinary field, students pursuing bioinformatics are able to develop both biology and computer science skills. They learn the ways to build and use bioinformatics tools and further, utilize their bioinformatics skills to perform various biological discoveries. Some of the career opportunities that help students to discover their interests include:
Bioinformatics Researchers - Researchers pursuing or completed Ph.D. can lead to various industry jobs. There is a wide scope for researchers both in academia and in industries. The Bioinformatics Researcher is responsible for accessing the data resource for performing job duties in specific application contexts.
Bioinformatics Analysts/Scientists - They are biologists who focus on advancing the scientific understanding of living systems by integrating computational methods. They work on teams to find the effective results of experiments. This role demands a working knowledge of biology with the basic statistical and software skills.
Bioinformatics Engineers/Developers - They are responsible for creating the computational methods that are prominently used by bioinformatics scientists and researchers. Thus, a critical understanding of data structures and algorithms, statistical skills, high-performance computation and competency in biomedical science is essential to best fit in the role.
These are the three general career paths that helpstudents build a solid and productive career.Additionally, students can expand their career potentials in diverse academic and commercial sectors as software developers, educators, core facilities, and individual contributors.
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