Call for Abstract

International Conference on Next Generation Sequencing and Biostatistics, will be organized around the theme “Exploring the Facets of Sequencing & Bio-Statistics”

NGS Congress 2018 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in NGS Congress 2018

Submit your abstract to any of the mentioned tracks.

Register now for the conference by choosing an appropriate package suitable to you.

Next-generation sequencing (NGS), is   also known as high-throughput sequencing, is the catch-all method used to describe a number of different modern sequencing technologies including: Illumina sequencing. Roche 454 sequencing. Ion torrent: Proton / PGM sequencing. Solid sequencing. The latest advances in next-generation sequencing methods are revolutionizing the way biological research is conducted

  • Track 1-1Next Generation Sequence data analysis
  • Track 1-2Next Generation Sequence market
  • Track 1-3Next Generation Sequence applications
  • Track 1-4Next Generation Sequence

Sequencing is helped to determine the primary structure   of an unbranched biopolymer. Sequencing results in a symbolic linear depiction known as a sequence which succinctly summarizes much of the atomic-level structure of the sequenced molecule. DNA sequencing is helps in determining the nucleotide order of a given DNA fragment. So far, most DNA sequencing has been performed using the chain termination method developed by Frederick Sanger.

The sequence of DNA encodes the necessary information for living things to survive and reproduce. Determining the sequence is therefore useful in fundamental research into why and how organisms live, as well as in applied subjects. Because of the basic importance DNA has   to living things, knowledge of DNA sequences is useful in any area of biological research

  • Track 2-1Exome Sequencing
  • Track 2-2Solexa Sequencing
  • Track 2-3High-throughput shotgun sanger sequencing
  • Track 2-4Plasmid DNA isolation
  • Track 2-5Cycle sequencing reaction
  • Track 2-6DNA fragmentation
  • Track 2-7Cyclic array sequencing

DNA sequencing is the method of deciding the precise order of nucleotides within a DNA molecule. It contains any method or technology that is used to determine the order of the four bases -adenine, guanine, cytosine, and thymine -in a strand of DNA. The DNA sequencing methods has greatly accelerated biological and medical research and discovery.

This technology   has become essential   for fundamental biological research, and in many applied fields such as medical diagnosis, biotechnology, forensic biology, virology and biological systematic.

  • Track 3-1DNA sequencing
  • Track 3-2DNA sequencing database
  • Track 3-3DNA sequencing analysis
  • Track 3-4DNA sequencing alignment

RNA-Sequence is   also called as whole transcriptome shotgun sequencing(WTSS), uses next-generation sequencing (NGS) to reveal the presence and quantity of RNA in a biological sample at a given moment in time.

This technique is used to analyze the continually changing cellular transcriptome. Specifically, RNA-Sequence  facilitates the ability to look at alternative gene spliced transcripts, post-transcriptional modifications, gene fusion, mutations/SNPs and changes in gene expression over time, or differences in gene expression in different groups or treatments.

In addition to mRNA transcripts, RNA-Sequence can look at different populations of RNA to include total RNA, small RNA, such as miRNA, tRNA, and ribosomal profiling. RNA-Sequence can also be used to determine exon/intron boundaries and verify or amend previously annotated 5' and 3' gene boundaries.

Prior to RNA-Sequence, gene expression studies were done with hybridization-based microarrays. Issues with microarrays include cross-hybridization artifacts, poor quantification of lowly and highly expressed genes, and needing to know the sequence a priori. Because of these technical issues, transcriptomics transmitted   to sequencing-based methods. These progressed from Sanger sequencing of Expressed Sequence Tag libraries, to chemical tag-based methods and finally to the current technology, next-generation sequencing of cDNA.

  • Track 4-1RNA sequencing
  • Track 4-2RNA sequencing database
  • Track 4-3RNA sequencing analysis
  • Track 4-4RNA sequencing alignment

Protein sequencing is the process of determining the amino acid sequence of all or part of a protein or peptide. This may serve to identify the protein or characterize its post-translational modifications. The two different methods of protein sequencing are   Mass spectrometry and Edman degradation using a protein sequenator. Mass spectrometry methods are presently the most popularly used for protein sequencing and for recognition. Protein sequencing is mainly depending on chemical or enzymatic digestion techniques to separate peptides and detect the amount and composition of amino acid residue. protein sequencing services supplies accurate and reliable protein characterization and identification.

Mass spectrometry of peptides by enzymatic digest is a common technique of protein identification, Edman sequencing also known as automated Gas Phase Sequencing (GPS) supplies additional data which is inaccessible via mass spectrometry methods. GPS is used to identify unknown proteins as well as to check the quality of recombinant proteins and determine enzyme cleavage sites. It is a powerful complimentary technique used throughout all stages of drug discovery.

  • Track 5-1Protein Sequencing
  • Track 5-2Maltose binding Protein Sequencing
  • Track 5-3GST Protein Sequencing
  • Track 5-4Red fluorescent protein sequencing
  • Track 5-5Protein Sequence Alignment
  • Track 5-6Protein Sequence Analysis
  • Track 5-7EGFP Protein Sequencing

Illumina sequencing is a technique used to determine the series of base pairs in DNA, also known as DNA sequencing. The reversible terminated chemistry concept was invented by Bruno Canard and Simon sarfati at the Pasteur Institute in Paris. Illumina sequencing technique works in three basic steps -  amplify, sequence, and analyze. The process begins with purified DNA. The   process begins with purified DNA.

  • Track 6-1Illumina Sequencing
  • Track 6-2Illumina Sequencing technology
  • Track 6-3Illumina Next Generation Sequencing
  • Track 6-4Illumina Solexa Sequencing
  • Track 6-5Illumina paired end sequencing
  • Track 6-6Illumina Sequence by synthesis
  • Track 6-7Illumina Genome Sequencing
  • Track 6-8Illumina Exome Sequencing

Sequence alignment is the method of ordering   the sequences of DNA, RNA, or protein to recognize regions because of resemblance that may be a consequence of functional, structural, evolutionary relationships between the sequences. Aligned sequences of nucleotide or amino acid residues are typically represented as rows within a matrix. This technology is also used for non-biological sequences, such as calculating the edit distance cost between strings in a natural language or in financial data.

  • Track 7-1Sequence Alignment
  • Track 7-2Sequence Alignment tools
  • Track 7-3Pairwise sequence alignment

As the largest gene synthesis and comprehensive molecular biology service provider in the USA with proven capability and reliability, Genscript now expands DNA sequencing services in North America to offer customers high speed and superior quality services. The Sanger DNA sequencing services are performed by professionally trained staff on state-of-the-art instrument and analyzed with advanced bioinformatics tools.

  • Track 8-1Sequencing Services
  • Track 8-2Whole genome sequencing services
  • Track 8-3Genome sequencing services
  • Track 8-4Protein sequencing servies
  • Track 8-5Next generation sequencing services
  • Track 8-6Exome genome sequencing services
  • Track 8-7Illumina Sequencing services
  • Track 8-8Sanger Sequencing services
  • Track 8-9Gene Sequencing services

Clinical Biostatistics: It encompasses the statistical strategies which are accustomed to govern uncertainties in the field of medicine and health. It comprehends biostatistics in clinical research and clinical trials, biostatistics research and methodology, clinical decision making, statistical methods in diagnostic drugs , statistical and computing methods.

  • Track 9-1Biostatistics in clinical research
  • Track 9-2 Biostatistics research and methodology
  • Track 9-3Clinical decision making
  • Track 9-4Statistical methods in diagnostic medicine
  • Track 9-5Basic Statistics of Biomarkers and Clinical Trials
  • Track 9-6Biomedical Statistics

Statistical Methods: It includes strategies which are utilized as a part of biostatistics and computing. It incorporates points such as vigorous techniques in biostatistics, longitudinal studies, analysis with deficient data, meta-analysis, Monte-Carlo strategies, quantitative issues in health-risk analysis, statistical methodologies in genetic studies, ecological statistics and biostatistical routines in epidemiology

  • Track 10-1Longitudinal studies
  • Track 10-2Analysis with incomplete data
  • Track 10-3Meta-Analysis
  • Track 10-4Quantitative problems in health-risk analysis
  • Track 10-5Biostatistical methods in epidemiology

Bayesian statistics: It is a subset of the sphere of statistics during which the proof about the concerning verity of the world is expressed in terms of degrees of belief or, ma lot specifically, Bayesian probabilities. It includes of varies approaches like Bayesian inference, stochastic structural improvement and Bayesian statistics, semi-parametric Bayesian analysis, Bayesian multiple modification point analysis, infrared spectroscopic analysis with Bayesian statistics and Bayesian dynamic models.

  • Track 11-1Stochastic structural optimization and bayesian statistics
  • Track 11-2Semi parametric bayesian analysis
  • Track 11-3Bayesian multiple change point analysis
  • Track 11-4Infrared spectroscopy with bayesian statistics
  • Track 11-5Bayesian dynamic models

Computational Systems Biology: Systems biology is the investigation of frameworks of biological components, which might be atoms, molecules, cells, life forms or whole species. Living systems are dynamic and complex and their conduct might be difficult to anticipate from the properties of individual parts. In these days computer science assumes an imperative part in concentrating on the system biology. This track incorporates different themes like biostatistics in systems biology, machine learning and artificial intelligence, information analysis.

  • Track 12-1Biostatistics in systems biology
  • Track 12-2Machine learning and artificial intelligence
  • Track 12-3Data analysis: Missing and multiway

Regression Analysis: In statistics study, regression analysis has been statistical process for estimating the relationships among variables. It includes several techniques for modelling and analysing many variables, once the main focus is on the link between a dependent variable and one or a lot of freelance variables. This track contains numerous sub topics like linear and non-linear analysis, variance and regression analysis, statistical methods for categorical data analysis, multiple regression with categorical information and biostatistical analysis software.

  • Track 13-1Linear and non-linear analysis
  • Track 13-2Analysis of variance and regression
  • Track 13-3Multiple regression with categorical data
  • Track 13-4Robust methods in biostatistics
  • Track 13-5Biostatistical analysis softwares

Biostatistics is the study of science that deals with the statistical methods for describing and comparing the phenomenon of particular subject which helps in managing medical uncertainties. Its applications are wide spread in medicine, health, biology etc. for interpretation of data based on observations and facts.

  • Track 14-1Biostatistics in pharmacy
  • Track 14-2Biostatistics in medical
  • Track 14-3Biostatistics in healthcare
  • Track 14-4Biostatistics in genetics
  • Track 14-5Ecological statistics