lncRNA Seq

lncRNASeq, or long non-coding RNA sequencing, is a specialized type of RNA sequencing (RNA-Seq) that focuses on the detection, quantification, and analysis of long non-coding RNAs (lncRNAs). These RNA molecules are typically longer than 200 nucleotides and, unlike messenger RNAs (mRNAs), they do not code for proteins. However, they play crucial roles in regulating gene expression and are involved in many biological processes, including development, cell differentiation, and disease progression such as cancer.

lncRNASeq provides a powerful approach to explore the largely uncharted territory of the non-coding transcriptome. By revealing the expression and potential functions of lncRNAs, this technique contributes significantly to our understanding of gene regulation and complex biological processes. As our knowledge of lncRNAs continues to grow, lncRNASeq is becoming an indispensable tool in both basic and translational research.

IMG
Completing a course in lncRNASeq equips students and researchers with both theoretical knowledge and practical skills related to the study of long non-coding RNAs using next-generation sequencing technologies.

👉 Enroll now and take the first step toward a future in data-driven biology and beyond.

## 10% Discount if you register before 15th October, 2025. Hurry up!!

  • RNASeq [R]
  • RNASeq [D]
  • scRNA-Seq
  • lncRNA-Seq
  • miRNA-Seq
  • PSI-Seq
  • ChipSeq
  • ATAC-Seq
  • scATA-Seq
  • Spatial Transcriptome
  • DNASeq
  • MethylSeq
  • Whole Genome de novo Assembly
  • Targeted metagenomics
  • Whole Genome Metagenomics
  • Metatranscriptomics
  • RAD-Seq
  • SNAP-ChIP

Course Information
Course LncRNASeq Data Analysis
Duration online/offline 7 Days Training [ 2 Hours Daily [ Monday To Friday ] ]

Slots

Our working Time is 9:00 AM to 6:00 PM Indian Time Available slots - 9:00 AM to 11:00 AM / 11:00 AM to 1:00 PM / 2:00 PM to 4:00 PM / 4:00 PM to 6:00 PM
For training slots after 6 PM or before 9 am as well as weekends training kindly mention during registration accordingly it will be scheduled.

Mode

👉 For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive)
👉 For offline training candidate need to come to head office pune, India
👉 Run time video recording candidate can make as well as pdf manual will be provided for future reference.
👉 All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning.
👉 For doubt clear there will be extra support will be provided based on the requirement.
👉 Certificate will be provided
Sequencing Platform Illumina /Ion Torrent/PacBio/Nanopore
Raw data Candidate can include maximum 4 datasets of their own during training. Publication standards figures and tables will be generated.
Training Fees
Module-NGS LncRNASeq Data Analysis
    📘 Introduction to lncRNAs
    - Overview of long non-coding RNAs (lncRNAs)
    - Types and classification
    - Functional mechanisms
    - Roles in health and disease

    📘 Introduction to NGS lncRNA-seq
    - Understanding NGS and Its Applications
    - Types of sequencing data generated
    - Understanding FASTQ files and sequencing quality scores
    - Common challenges in lncRNA-seq data

    📘 Linux Basics & Environment Setup
    - Linux Command Line Basics
    - Installing lncRNAseq Tools
    - Using Conda and Shell Scripting

    📘 Quality Control and Preprocessing
    - Raw read QC
    - Trimming
    - Contamination checks

    📘 Read Alignment and Transcript Assembly
    - Alignment
    - Transcript assembly
    - Reference vs de novo approaches
    - Understanding FASTQ, SAM/BAM, and GTF files

    📘 lncRNA Identification and Quantification
    - Using lncRNA databases: GENCODE, NONCODE etc
    - Novel lncRNA discovery
    - Coding potential prediction
    - Quantification

    📘 Differential Expression Analysis
    - Understanding R Programming
    - Normalization and filtering and differential Calculation
    - Plotting results (volcano, heatmaps)

    📘 Functional Annotation and Pathway Analysis
    - Co-expression analysis
    - lncRNA Target Gene Prediction
    - lncRNA–mRNA interaction prediction
    - GO and pathway enrichment
    - Protein-Protein Interaction (PPI) analysis
    - Visualization with IGV and Cytoscape

Preparation

lncRNA-seq : https://en.wikipedia.org/wiki/Long_non-coding_RNA
- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC10523182/

Instructor

Industry Experienced

Target Audiance

This course is designed for graduate students, postdoctoral researchers, and professionals working in the fields of conservation biology, evolutionary genomics, and population genetics or any life sciences who are interested in applying genomic tools to real-world conservation challenges.

Contact

Please write us at info@arraygen.com or call or whatsapp us on mobile +91-9673625446 if you need any clarification or for any custom training based on candidate reference paper or candidate own content/tools.

Course Information
Course LncRNASeq Data Analysis
Duration online/offline 15 Days Training [ 2 Hours Daily [ Monday To Friday ] ]

Slots

Our working Time is 9:00 AM to 6:00 PM Indian Time Available slots - 9:00 AM to 11:00 AM / 11:00 AM to 1:00 PM / 2:00 PM to 4:00 PM / 4:00 PM to 6:00 PM
For training slots after 6 PM or before 9 am as well as weekends training kindly mention during registration accordingly it will be scheduled.

Mode

👉 For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive)
👉 For offline training candidate need to come to head office pune, India
👉 Run time video recording candidate can make as well as pdf manual will be provided for future reference.
👉 All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning.
👉 For doubt clear there will be extra support will be provided based on the requirement.
👉 Certificate will be provided
Sequencing Platform Illumina /Ion Torrent/PacBio/Nanopore
Raw data Candidate can include maximum 4 datasets of their own during training. Publication standards figures and tables will be generated.
Training Fees
Module-I Advanced Bioinformatics & basic programming
Topics
    📘 Introduction to Bioinformatics
    - Overview of bioinformatics and its applications
    - Key concepts in computational biology
    - Role of bioinformatics in genomics, transcriptomics, and proteomics

    📘 Understanding NGS and Genomics Bioinformatics
    - Basics of Next-Generation Sequencing (NGS)
    - Types of NGS data (RNA-seq, WGS, WES)
    - Overview of NGS data formats: FASTQ, BAM, VCF
    - Introduction to pipelines and tools for NGS data analysis

    📘 Databases & Data Retrieval (NCBI and UCSC)
    - Learning how to retrieve biologically correct data
    - Performing complete batch retrieval (e.g., whole exome)
    - NCBI: understanding gene-level data retrieval
    - UCSC: handling large-scale data retrieval
    - UCSC Genome Browser and Table Browser usage
    - Batch Coordinate Retrieval and Genomic Data downloads
    - GFF/GTF gene annotation formats and how to retrieve them
    - Using BLAT for sequence-based search and alignment

    📘 Gene Prediction and Functional Annotation
    - Gene prediction approaches and tools
    - Functional annotation using Gene Ontology (GO)
    - Pathway analysis using KEGG, Reactome
    - Interpreting gene sets and biological relevance

    📘 Standalone/Offline BLAST for Large-Scale Genomic Data
    - Installing and setting up standalone BLAST
    - Running local BLAST for batch sequence alignment
    - Applications in genome-wide homology searches
    - Custom BLAST databases and performance optimization

    📘 PCR Primer Designing and Specificity Check
    - Designing accurate primers for PCR amplification
    - Tools: Primer3, NCBI Primer-BLAST
    - Checking primer specificity using genome-wide BLAST
    - Avoiding non-target amplification through design best practices

    📘 Understanding Python Programming
    - Introduction to Python for bioinformatics
    - Scripting basics: variables, loops, functions
    - Libraries like Biopython, pandas for biological data handling
    - Automating genomic workflows with Python scripts
AND
Module-II Next Generation Sequencing (NGS) - LncRNASeq Data Analysis
Topics
    📘 Introduction to lncRNAs
    - Overview of long non-coding RNAs (lncRNAs)
    - Types and classification
    - Functional mechanisms
    - Roles in health and disease

    📘 Introduction to NGS lncRNA-seq
    - Understanding NGS and Its Applications
    - Types of sequencing data generated
    - Understanding FASTQ files and sequencing quality scores
    - Common challenges in lncRNA-seq data

    📘 Linux Basics & Environment Setup
    - Linux Command Line Basics
    - Installing lncRNAseq Tools
    - Using Conda and Shell Scripting

    📘 Quality Control and Preprocessing
    - Raw read QC
    - Trimming
    - Contamination checks

    📘 Read Alignment and Transcript Assembly
    - Alignment
    - Transcript assembly
    - Reference vs de novo approaches
    - Understanding FASTQ, SAM/BAM, and GTF files

    📘 lncRNA Identification and Quantification
    - Using lncRNA databases: GENCODE, NONCODE etc
    - Novel lncRNA discovery
    - Coding potential prediction
    - Quantification

    📘 Differential Expression Analysis
    - Understanding R Programming
    - Normalization and filtering and differential Calculation
    - Plotting results (volcano, heatmaps)

    📘 Functional Annotation and Pathway Analysis
    - Co-expression analysis
    - lncRNA Target Gene Prediction
    - lncRNA–mRNA interaction prediction
    - GO and pathway enrichment
    - Protein-Protein Interaction (PPI) analysis
    - Visualization with IGV and Cytoscape

Preparation

lncRNA-seq : https://en.wikipedia.org/wiki/Long_non-coding_RNA
- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC10523182/

Instructor

Industry Experienced

Target Audiance

This course is designed for graduate students, postdoctoral researchers, and professionals working in the fields of conservation biology, evolutionary genomics, and population genetics or any life sciences who are interested in applying genomic tools to real-world conservation challenges.

Contact

Please write us at info@arraygen.com or call or whatsapp us on mobile +91-9673625446 if you need any clarification or for any custom training based on candidate reference paper or candidate own content/tools.