Track1: Transcriptomics
Transcriptomics is defined as the study of transcriptome the complete set of RNA, also known as expression profiling, as it's a study of the expression situations of mRNAs in a given cell population. Transcriptomics has been defined by repeated technological inventions that transfigure the field. There are two crucial contemporary ways in the field microarrays, which quantify a set of destined sequences, and RNA sequencing (RNA- Seq), which uses high- outturn sequencing to capture all sequences.
Track2: Protein Biochemistry
The study of proteins through protein biochemistry and enzymology encompasses numerous fields of biology, including molecular biology, cell biology, pharmaceutical exploration and development, food wisdom, factory biology, and more. Operations include protein sanctification for exploration, manufacturing for pharmaceutical development, molecular cloning, husbandry, and X-ray crystallography, among others. Tools and inventories for protein biochemistry include instruments like mass spectrometers, and chromatography systems, accoutrements for cloning, sanctification and enrichment, Western blotting systems, and consumables. The tools demanded for numerous protein biochemistry operations can be made “from scrape” or accoutrements and other convenience products can be used.
Track3: Epigenetics
Epigenetics is the study of how your actions and terrain can beget changes that affect the way your genes work. Unlike inheritable changes, epigenetic changes are reversible and don't change your DNA sequence, but they can change how your body reads DNA sequence. In biology, epigenetics is the study of stable phenotypic changes that don't involve differences in the DNA sequence. The Greek prefix epi- in epigenetics implies features that are" on top of" or" in addition to" the traditional inheritable base for inheritance To be more specific, genetics focuses on how the DNA sequences lead to changes in the cell, while epigenetics focuses on how DNA is regulated to achieve those changes.
Track4: Bioinformatics
Bioinformatics is defined as the operation of tools of calculation and analysis to the prisoner and interpretation of natural data. It's an interdisciplinary field, which harnesses computer wisdom, mathematics, drugs, and biology Bioinformatics is an interdisciplinary field that develops styles and software tools for understanding natural data, in particular when the data sets are large and complex. Examples of bioinformatics include the Human Genome Project and the mortal Micro biome Project. Both systems used genome sequencing technologies to determine the order of base dyads in the mortal genome and associated microbial genomes, independently.
Track5: Metabolomics
Epigenetic- metabolomics interplay has a critical part in tumourigenesis by coordinately sustaining cell proliferation, metastasis and pluripotency. Understanding the link between epigenetics and metabolism could unravel new molecular targets, whose intervention may lead to advancements in cancer treatment. Metabolomics is the large- scale study of small motes, generally known as metabolites, within cells, bio fluids, apkins or organisms. Inclusively, these small motes and their relations within a natural system are known as the metabolome
Track6: Next Generation Sequencing (NGS) Technologies
Next generation sequencing (NGS), largely resembling or deep sequencing are related terms that describe a DNA sequencing technology which has revolutionized genomic exploration. Using NGS an entire mortal genome can be sequenced within a single day. In discrepancy, the former Sanger sequencing technology, used to decrypt the mortal genome, needed over a decade to deliver the final draft. Although in genome exploration NGS has substantially supplanted conventional Sanger sequencing, it has not yet restated into routine clinical practice. The end of this composition is to review the implicit operations of NGS in paediatrics
Track7: Genome Sequencing
Whole genome sequences, also known as full genome sequencing, complete genome sequencing, or entire genome sequencing, is the process of determining the wholeness, or nearly the wholeness, of the DNA sequence of an organism's genome at a single time. Whole genome sequencing is a laboratory procedure that determines the order of bases in the genome of an organism in one process. Whole genome sequencing looks at all of the, 20000 genes in the body (mortal genome). Targeted gene sequencing examines a subset of 100- 500 genes most likely to have been shifted. Both styles are enabled by a fashion called Next Generation Sequencing.
Track8: Transcriptome Analysis & Gene Expression
Transcriptome analysis trials enable experimenters to characterize transcriptional exertion (rendering and non-coding), focus on a subset of applicable target genes and reiterations, or profile thousands of genes at formerly to produce a global picture of cell function. Gene expression is the process by which information from a gene is used in the conflation of a functional gene product that enables it to produce end products, protein or non-coding RNA, and eventually affect a phenotype, as the final effect.
Track9: Single Cell Genomic
Single- cell genomics is the study of the individuality of cells using omics approaches. Single- cell sequencing technologies can descry individual vulnerable cells, thereby distinguishing different groups of vulnerable cells, as well as discovering new vulnerable cell populations and their connections. This helps to understand the complex vulnerable system and propose new targets for complaint treatment Single- cell genome sequencing aims to increase our understanding of complex microbial ecosystems and complaint in multicellular organisms by segregating the benefactions of distinct cellular.
Track10: Gene Expression Profiling
In the field of molecular biology, gene expression profiling is the dimension of the exertion (the expression) of thousands of genes at formerly, to produce a global picture of cellular function. These biographies can, for illustration, distinguish between cells that are laboriously dividing, or show how the cells reply to a particular treatment. Numerous trials of this kind measure an entire genome contemporaneously, that is, every gene present in particular cell. Several transcriptomics technologies can be used to induce the necessary data to assay. DNA microarrays measure the relative exertion of preliminarily linked target genes. Sequence grounded ways, like RNA- Seq, give information on the sequences of genes in addition to their expression position.
Track11: Biostatistics & Systems biology
Biostatistics links life lores data and statistics to inform a number of areas in healthcare and medicine. However, the biostatistician can help dissect and epitomize this data, If there's clinical data or health related data. Systems biology is an approach in biomedical exploration to understanding the larger picture — be it at the position of the organism, towel, or cell The future of systems biology is easily linked to testing ideas in the laboratory and in natural populations, employing the tools of molecular biology. The structure of the natural lores will come like drugs, with proponents and experimentalists working together to break problems by putting its pieces together. It's in stark discrepancy to decades of reductionist biology, which involves taking the pieces piecemeal.
Track12: Transcriptome Analysis & Gene Expression
Transcriptome Analysis is the study of the transcriptome, of the complete set of RNA transcripts that are produced by the genome, under specific circumstances or in a specific cell, using high-throughput methods. Transcriptomics can either refer to exploratory analysis of the entire transcriptome, primarily using RNA sequencing (RNA-seq), or to targeted analysis of known RNAs using techniques such as gene expression panels (GEPs).
Track13: Micro array
A DNA microarray is a collection of bitsy DNA spots attached to a solid face. Scientists use DNA microarrays to measure the expression situations of large figures of genes contemporaneously or to genotype multiple regions of a genome. Each DNA spot contains Pico moles of a specific DNA sequence, known as probes. Microarray technology is a general laboratory approach that involves binding an array of thousands to millions of known nucleic acid fractions to a solid face, appertained to as a “chip.” The chip is also bathed with DNA or RNA insulated from a study sample.
Track14: RNA Sequencing
RNA- Seq allows experimenters to descry both known and new features in a single assay, enabling the identification of paraphrase isoforms, gene mixtures, single nucleotide variants, and other features without the limitation of previous knowledge. Some of the most popular ways that use RNA- seq are transcriptional profiling, single nucleotide polymorphism( SNP) identification, 3 RNA editing and discrimination gene expression analysis. This can give experimenters vital information about the function of genes. The mRNA is uprooted from the organism, fractured and copied into stable ds- cDNA( blue). The ds- cDNA is sequenced using high- outturn, short- read sequencing styles. These sequences can also be aligned to a reference genome sequence to reconstruct which genome regions were being transcribed.
Track15: Protein Synthesis
Protein conflation is the process in which cells make proteins. It occurs in two stages recap and restatement. Recap is the transfer of inheritable instructions in DNA to mRNA in the nexus. It includes three way inauguration, extension, and termination. Protein biosynthesis( or protein conflation) is a core natural process, being inside cells, balancing the loss of cellular proteins( via declination or import) through the product of new proteins. Proteins perform a number of critical functions as enzymes, structural proteins or hormones.