Understanding Bioinformatics
Biology is a data-rich discipline. The human genome has around 3.1 billion base pairs, which is equal to around 6 billion bytes or 6 GB of data. Analysis of the thousands of different bio-chemical processes, enzymes, macro & micro-biological systems, DNA sequencing and genome mapping, etc. – it does not take a rocket scientist to realise how data-intensive such computation tasks are. And we are just talking about a single species on this planet!
The field of bioinformatics tackles the enormous scales of data encountered in advanced biology with the aid of advanced technologies. It is a multi-disciplinary discipline that brings together myriad computational and information processing systems for collating, manipulating, and interpreting biological data. A formal definition of bioinformatics can be stated as the use of computational systems to collate, manipulate, interpret, and visualise complex biological data. The subject combines biology (especially microbiology, chemical & molecular biology, genetics, and functional genomics) with statistical analysis, data science, artificial intelligence, and IT & computational engineering systems. The result is an enhancement in the study of biological data and systems, thanks to the incredible scalability and amazing capabilities of advanced analytical and processing technologies.
Computer science, statistics, data science, and AI are the key technologies used for biological data analysis in this field. Bioinformatics's specific focus is on DNA data analysis, sequence analysis of amino acid sequences & protein sequences, and the holistic identification & interpretation of genetic data. The discipline also employs advanced analytics in the study of medical, behavioural, and health data. Computational biology is a closely related field that delves into the development of computational, mathematical, and statistical models, algorithms, and systems for studies. The key difference is that bioinformatics employs much more advanced analysis techniques, models, software, and hardware systems.
Database systems, data analysis, machine, and deep learning systems, and algorithms play a central role in bioinformatics. One of the biggest challenges is the vast quantities of sequence, structural, and other complex and highly intricate data sets. Conventional tools can never tackle such complexity and variability, necessitating the need for analytics and AI-enhanced software tools. AI, data science, and analytics enable minute investigations, acute elucidation, and quicker discovery of valuable insights.
If you are pursuing bioinformatics, the need for expert guidance and some reliable bioinformatics assignment help is inevitable and nigh indispensable. University students all over consider it to be one of the most challenging aspects of the medical sciences. Besides the complexities of the data and the technologies involved, the applications are as diverse and baroque as they come.
MyAssignmentHelp, Australia’s leading science assignment help service, is here to help you with everything related to bioinformatics. From comparative and evolutionary genomics to molecular biology, from forensic analysis to DNA/RNA/protein sequence alignment, from assignments and homework to projects and dissertations, get quintessential bioinformatics assignment help at the lowest rates right here!
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Challenges in Bioinformatics
The mechanisms, applications, and very nature of the domain make bioinformatics incredibly challenging. Some of the most complex data analysis, simulation, prediction, and computational systems are employed as bioinformatics tools. Some of the most intricate and intertwined aspects and subjects in biological sciences are investigated. The challenges are substantial.
The grandest challenges in bioinformatics and computational biology are →
- Protein structure prediction
- Multiple sequence alignment constructions
- Phylogenetic tree constructions and investigations
- Genome sequence analysis
- Gene finding and protein identification
- Studying and interpreting gene sequences, myriad protein structures & their functions, gene expression patterns
- Looking at how human & life, in general, works at the highest resolution
Tackling such monumental challenges requires novel and advanced algorithms that can mine, analyse, compare, visualise, and present valuable insights. The challenges in developing & modelling advanced computation systems are quite formidable as well and include:
- Designing complex systems for studying scale relations & coupling, temporal complexities & coding;
- Parameter and uncertainty estimation
- Data mining, statistical analysis, modelling simulation & prediction systems
- Developing systems for estimating the structure-function relationships ( of proteins, nucleic acids, membranes, cells, tissues, macrocellular & organismal systems, etc.)
- Image processing and visualisation tools
- Data modelling and management systems, distributed computing, query, computer science, biomedical informatics algorithms, etc.
The extraction and integration of knowledge across different studies, the development of concrete, universal paradigms, and the unification of bioinformatics tools with clinical informatics & diagnostic tools are critical challenges in bioinformatics currently. More specifically, the alignment and linkage of bioinformatic analysis insights with clinical & medical information remains one of the primary objectives of the domain.
The Human Genome Project
Anyone studying bioinformatics must have heard of The Human Genome Project. It was an international research project and one of the most challenging & ambitious endeavours in bioinformatics and genomics. An incredible scientific feat that called for the very best across numerous scientific disciplines, the project uncovered and recorded the genetic DNA sequences of homo sapiens as well as several human pathogens. The project accelerated research and investigation of human biology and is proving to be instrumental in improving drug design, medicine, and healthcare.
At our bioinformatics assignment writing services, one of the most interesting bioinformatics projects we worked on involved genome-wide association analysis associated with the Human Genome Project. Our bioinformatics tutors delivered a solution for a research thesis on how genome-wide association studies have helped reveal genetic variations associated with different pathogens and diseases. The research required intellectually constrained investigations of information from computerised databases involving the human genome sequence, genetic variations, etc.
Genome-wide association studies and their integration with clinical & diagnostic systems remain a leading challenge in medical sciences. They are the ways to personalised and customised healthcare strategies. Further research and improvements are necessary for their widespread implementation across healthcare systems.
Now, it is time to examine some prominent bioinformatics algorithms that have stood the test of time.
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Tools & Databases Used in Bioinformatics
The importance and necessity of computational tools and database systems in bioinformatics should be intuitive to anyone studying this complex subject. If you are wondering why, then here’s some food for thought.
An astounding amount of molecular logistics is involved to ensure accurate and flawless cell division and DNA replication. The underlying sequences of processes and the algorithms involved are incredibly profound and intricate. You might find certain similarities with how computer algorithms instruct machine hardware to carry out some kind of task. However, in truth, the processes involved in DNA replication are much more elaborate and levels above any electro-mechanical activity in any machine. Cells forage for materials before division and replication, and individual molecules coordinate with one another to ensure accurate replication.
Just imagine the amount of information that can be retrieved upon close study of unicellular division. Now, scale it by billions, and you should be able to understand why bioinformatics requires such advanced tools and multi-paradigm databases. Let’s have a look at some of the most prominent tools and databases employed in bioinformatics studies.
Most Popular Biological Databases
- GenBank - a comprehensive and annotated repository of nucleic acid sequence data of nearly all kinds of organisms developed by the National Center for Biotechnology Information (NCBI)
- EMBL(European Molecular Biology Institute) is a data repository of nucleotide sequences developed and maintained by the European Bioinformatics Institute. The data bank stores DNA and RNA sequences, gene expressions, protein structures, and pathways, as well as different literature in the domain.
- DDBJ (DNA Data Bank of Japan) is another nucleotide sequence storage database that collates data from different researchers. It is a collaboration between the National Institute for Genetics in Japan, the National Centre for Biotechnology Information, and the European Molecular Biology Laboratory.
Sequence AnaylsisTools
These tools are used to investigate different protein and nucleotide sequences, sequence alignment, genome assembly, phylogeny, etc. Some popular tools are :
- BLAST (Basic Local Alignment Search Tool) - A widely used tool for searching sequence similarity, inferring evolutionary relationships, identifying function domains in a sequence, etc.
- ClustalW - A multiple sequence alignment program for studying DNA and protein sequence
- MEGA (Molecular Evolutionary Genetics Analytics)- A software package that offers numerous tools for phylogenetic analysis, multiple sequence alignment, and more.
Structure Analysis Tools
These tools aid in the analysis of protein structures & nucleic acids, allowing efficient & effective comparison, classification, and prediction. Some of the most prominent structural analysis tools used in bioinformatics are →
- CN3D - A software package that allows three-dimensional visualisation and manipulation of macromolecules such as nucleic acids and proteins;
- PyMOL - A molecular visualisation tool that’s used to create three-dimensional visualisations and animations for analysis.
- RasMol - A graphics tool that allows for effective visualisation of proteins, nucleic acids, and small molecules
Numerous other databases and tools are available commercially and open-source. It would take an entire book to delve deep into every one of them. If you need help searching for and/or using them or need instant bioinformatics assignment help, the country’s finest bioinformatics assignment writing experts are here to help.
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Topics Covered in Bioinformatics Assignment Help
At our bioinformatics homework help service, we cover any & all topics in the subject. Here’s a glimpse:
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Molecular Sequences & Structures
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Sequence Alignment
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Basic Local Alignment Search Tool
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Molecular Phylogenetics
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Protein Structure Prediction
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Molecular Docking
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Binding Site Prediction
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Annotation of Genomes
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Advanced Analyses
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Microarray Techniques
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Comparative Genomics
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Computational Genomics
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Biomedical Informatics
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Evolutionary Genomics
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Genomic Analysis
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Forensic Analysis
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Genetics of Diseases
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Cancer Mutation Analysis
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Structural Bioinformatics
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Gene & Protein Expression
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DNA Sequencing
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In the last year or so, we worked on some of the above topics in the table. Our bioinformatics assignment help experts have delivered assignments, theses, and coursework on →
This is one of the most common topics our bioinformatics homework help experts have encountered. Problems included assessing local and global alignments using varied alignment methods.
Our bioinformatics assignment writing pros have crafted numerous assignments and coursework on evolutionary genomics and phylogenetics. The latest one involved elaborating upon sequence evolution using mathematical modelling. If you are working on such an assignment and need some assistance, connect with our bioinformatics assignment help today.
Bioinformatics techniques may be used to determine which human genomes and DNA sequencing cause various ailments and diseases in creatures. This leads to the development of new and better diagnostic & preventive measures for tackling illnesses. Our bioinformatics homework help experts have delivered multiple case studies on the subject.
Gene therapy is a form of medicine delivery that allows researchers to identify the genes and sequence the DNA of human bodies in order to give better treatment for their disorders. For this reason, human genomes are stored in bioinformatics databases after being sequenced in the right order, and it is determined which human genomes are causing the sickness. If you are in need of some bioinformatics assignment help, then do get in touch with the best bioinformatics assignment help experts right here.
Whatever your academic needs, we have the perfect team of bioinformatics assignment help experts to help you out. Whether you need tutoring or writing assignments, no matter how you need help with bioinformatics, our bioinformatics assignment help service will be right there to provide biology assignment help online at the lowest rates ever.
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Research in Bioinformatics
Research and analysis in bioinformatics is steeped in intensive data analysis. Some of the key objectives of research endeavours in this field in this field include:
- The development of effective algorithms and statistical techniques for determining relationships and interdependencies among large sets of biological data;
- Implementation of tools and information repositories of various biological data
- Creation of databases from analysed data for efficient storage, access, and management of large-scale biological data.
The scope of the discipline can also be bifurcated across various domains, such as →
- Genomics and Proteomics use bioinformatics to study, analyse, and understand DNA sequence, protein structures & sequences, their behaviour, & functions.
- Computational Biology incorporates knowledge and implements bioinformatics systems to create models, tools, and systems for research, diagnosis, and the like.
- Drug discovery & designing employs bioinformatics systems to simulate and experiment with chemical compounds and look into the disease-fighting capabilities, effects, side-effects, etc.
- Systems biology is another major focus that studies the modelling, simulation, and interpretation of complex biological systems at every level, from molecules, cells, and tissues to organs, systems, and organisms.
As may be intuitive, research endeavours in the field encompass all of the above, with bioinformatics experts acting as liaisons between all the non-technicalities and technicalities in both bio and CS domains.
At MyAssignmentHelp, we have been providing bioinformatics assignment help to students across the country for nearly two decades. In all these years, our bioinformatics assignment writing experts and online bioinformatics tutors have delivered hundreds of research solutions and assisted many more with their theses, dissertations, & articles.
Below are some of the research topics & bioinformatics projects we encountered & worked on →
- Prediction and Study of the Secondary Structure of Proteins
Our bioinformatics assignment tutors used online secondary structure prediction tools and predictive models to predict local folding based on the primary amino acid sequence. Models/tools employed were support vector machines and PSSpred.
Phylogenetics studies the evolutionary relationships and tracks the evolutionary path taken by different species and genus based on their genetic characteristics. Our bioinformatics assignment help experts have employed the UPGMA (Unweighted-pair Method with Arithmetic Mean) clustering algorithm to connect and track relationships across branches of phylogenetic trees on the basis of maximum similarity criteria among sequence pairs & the means of joined pairs.
- Case Studies & Assignments on Computer-Aided Drug Design
Bioinformatics assignment help experts at our academic writing services have worked on several tasks on biomedical informatics and CADD. They have solved problems and questions on structure design, optimisation of absorption, distribution, metabolism, hit identification, hit-to-lead selection, toxicity, excretion, etc.
Go through our sample section for a closer look at the different kinds of solutions we delivered on myriad bioinformatics topics. Do read on for some of the biggest challenges currently in the field.
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A Look at Major Bioinformatics Algorithms
Algorithms are everywhere. Nature uses algorithm-like techniques and procedures to solve different kinds of biological problems. Naturally, the computational algorithms necessary to study phenomenally complex biological algorithms must also be phenomenally advanced and capable.
Here’s a look at some of the most potent and common computer science algorithms employed in bioinformatics.
Recursive algorithms are some of the most ubiquitous concepts in algorithm development. Any kind of recursive function calls itself or executes time & time again with different kinds of/smaller inputs during each call. The recursive approach involves solving a problem by breaking it down into smaller problems/smaller instances.
Recursion is commonly employed in bioinformatics for global alignment problems. Some recursion-based algorithms include the Needleman-Wusch, Smith-Waterman, BLAST, and FASTA algorithms.
- Exhaustive Search or Brute-Force Algorithms
These are the simplest and most inefficient algorithms in this list. As the name suggests, the problem-solving technique examines every element and alternative to find a solution. They are easy to understand and work surprisingly well in understanding certain practical biological problems. However, they are way too slow and inefficient when employed for complicated tasks.
- Branch-and-Bound Algorithms
Branch-and-bound algorithms are used to find optimal solutions to different kinds of optimisation problems. The technique involves pruning unnecessary, irrelevant, and N/A alternatives to narrow down to the correct or, at least, the most probable outcome. The process involves breaking down a problem into sub-problems, backtracking & searching, and eliminating non–optimal alternatives.
The truncated branch-and-bound algorithm is an excellent example of an efficient constraint-based genetic design that can be achieved during modelling and simulation.
Dynamic programming is a potent problem-solving approach that uses divide-and-conquer much more effectively to solve a problem. It organises all the computations effectively to avoid repetitions and ensure better efficiency & effectiveness. Dynamic programming is used in bioinformatics to identify similarities in gene structure & sequence recognition, sequence alignment & comparison, and structure prediction.
It can be said that dynamic programming is a much more advanced version of divide-and-conquer algorithms.
Greedy algorithms choose the most favourable of all immediately available alternatives. In bioinformatics, they come in handy when aligning DNA sequences that have sequencing or other similar errors. Greedy algorithms have been found to be more efficient in determining the optimal alignment of protein sequences. Some major examples are Dijkstra’s, Kruskal’s, and Prim’s algorithms & Huffman trees.
AI, machine & deep learning are transforming the very landscape of bioinformatics. These algorithms can mine, manipulate, and analyse vast quantities of data and diverse datasets, thereby recognising patterns, learning features, and making accurate predictions. Hidden Markov models, convolutional neural networks, artificial neural networks, random forests, and clustering algorithms are some of the most commonly employed algorithms in bioinformatics.
To implement the above computational and data analysis algorithms, there must be systems and tools that are compatible with bioinformatics data & workflows. All necessary data must also be recorded and stored in database systems that allow for easy manipulation, retrieval, and processing.
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Importance of Online Bioinformatics Assignment Help
Well, suppose you have gone through the entire content, been stuck with a particularly nagging assignment, or struggled with convoluted topics related to bioinformatics. In that case, you should know how handy some expert bioinformatics help can be!
Some of the biggest reasons why students look for bioinformatics assignment help online are:
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The table above highlights some of the biggest reasons why those who study bioinformatics look for expert bioinformatics help. Whether you need help using bioinformatics tools or assignment writing, online assignment experts can provide quintessential aid within the shortest turnaround.
Tough and Complex Problems
Subject matter experts from the best bioinformatics assignment help service online can provide the best possible support when you are struggling with any challenging problem. Contact them, share your requirements, and get optimal aid instantly.
Problematic Topics
Online bioinformatics assignment help is crucial when you have no idea about the topic at hand. They can elucidate and elaborate upon anything associated with biology, DNA sequencing, molecular biology, or bioinformatics.
Tight Deadlines
If you can’t finish writing assignments before the deadline, professional writing help with bioinformatics becomes essential. Professionals can deliver top-notch solutions within the tightest deadlines.
The Need for Good Grades
Bioinformatics assignment help from a reputed academic service provider can help students achieve the best grades. Whatever the bioinformatics topic, problem, or type of assignment, you can be sure to score in the top echelon when you hire experts from bioinformatics assignment help services.
Inadequate Knowledge
Biological sciences, medical sciences, forensic analysis, machine learning, and deep learning in bioinformatics—nothing’s a problem when you get expert help with bioinformatics from a reputed service.
At MyAssignmentHelp, we are one of the country’s leading academic service providers. For nearly ten years, we have been providing world-class bioinformatics and biotechnology assignment help. We have the experts and resources to provide all-encompassing assistance with any and all bioinformatics assignments and homework and all topics under the Sun.
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Why Choose MyAssignmentHelp.expert for Bioinformatics Assignment Help?
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