Qualification: Highly motivated M.Sc. (Bioinformatics/ Biotechnology/ Life Sciences/ Botany/ Agriculture) students are encouraged to apply. Prior experience in Bioinformatics/Plant tissue culture work is preferable. Preferences would be given to DBT/ CSIR / UGC NET qualified students.

Application Procedure: A detailed CV indicating name, date of birth, address, contact number, e-mail address, educational qualifications, NET qualified or not, research experiences if any, should be e-mailed to This email address is being protected from spambots. You need JavaScript enabled to view it. on or before 24th December 2014.

Important Note: Only short listed candidates will be called for interview at Akbar Bhawan, Chanakyapuri, New Delhi. No TA/DA will be paid for attending the interview. SAU Selection Committee reserves the rights to relax any of the qualifications in case the candidate is found otherwise well qualified. The above- mentioned post is temporary and will be initially offered for a period of one year, which can be extended to one more year.

Advertisement: www.sau.ac.in/recruitment/vacancy.html

Features

• Circular and linear views of genomes

• Capable of drawing genomes up to 10 Mbp with 1000's of features and 100's contigs

• Smooth zooming down to the sequence level

• Easily generate features and plots directly form the sequence (e.g. ORFs, GC-content and GC-Skew)

• Save high resolution PNG maps up to 8000x8000px

• Fully documented API for interacting with CGView.js maps

Address of the bookmark: https://js.cgview.ca/

Walk in interview for Research Associate, Studentship and Traineeship at BIF

Applications are invited for the Post of Research Associate, Traineeship and Studentship in the DBT sponsored Bioinformatics Infrastructure Facility (BIF) at the Bioinformatics Centre, Department of RDAP, North-Eastern Hil University, Tura Campus, Tura-79402, Meghalaya. The Posts are purely temporary and terminable at any time without prior notice or assigning any reason thereof. The person engaged, shall not be entailed for any claim implicit or explicit for permanent absorption in the University.

Research Associate- 01

Essential Qualification: M.Sc. in Bioinformatics/Biotechnology from a recognized University/ institute.

Desirable: PhD or Pursuing PhD in the relevant subject(s) or equivalent published work in reputed peer reviewed journals or Advance PG diploma in Bioinformatics courses.

Duties: Creation of database, web designing, maintenance of internet, training of students in Bioinformatics, handling and knowledge of Bioinformatics software tools and technique, conducting Bioinformatics based research and other day to day laboratory work, writing report and scientific papers.

Pay:Rs. 2,00/- + Admissible 10% HRA per month

Age: Below 35 years

Traineeship- 02

Students who have completed Masters Degree in Bioinformatics/Biotechnology or any branch of Life Sciences/Agricultural Sciences/Computer Science to cary out a project work in Bioinformatics.

Desirable: Prior Knowledge of programming languages such as C, JAVA, MySQL is preferable.

Stipend: Rs. 800/- p.m. fixed. Purely temporary for a period of six months.

Studentship: 02

Students pursuing postgraduate degree in Bioinformatics/biotechnology/Agricultural Sciences or any branch of Life Science

Desirable: Prior knowledge of bioinformatics/ programming language is preferable.

Stipend: 800/- p.m. fixed. Purely temporary for a period of six months.

Candidates must send the detailed Biodata via mail/post and bring al the relevant documents in original and one set of attested photocopies of the same at the time of interview. No TA/DA will be paid for attending the interview and candidates have to make their own arrangements.

Last date for receiving application by mail or by post: 16.02.2014

Contact Information:
Dr.B.K. Mishra
Cordinator BIF,
RDAP Department, NEHU, Tura Campus
Phone: 91-03651-23107
Fax: 91-03651-23953
E-mail: drbkm1972@yaho.co.in, birendramishra14@gmail.com

Advertisement: http://www.nehu.ac.in/Advertisements/BIF_TuraAdtvPV_171214.pdf

What is Genome Assembly?

Genome assembly involves piecing together short DNA sequence reads generated by sequencing platforms (e.g., Illumina, PacBio, Oxford Nanopore) into longer, contiguous sequences called contigs. This can be performed as:

• De Novo Assembly: Without a reference genome.
• Reference-Guided Assembly: Using a reference genome to guide the assembly process.

Step 1: Preparing Your Data

Before starting the assembly, ensure that your raw sequencing data is high quality.

1. Input Data

   • Short Reads: Illumina sequencing generates short, accurate reads ideal for scaffolding.
   • Long Reads: PacBio and Nanopore sequencing provide long reads for resolving repetitive regions.

2. Quality Control (QC)
   Use tools like FastQC or MultiQC to assess the quality of your reads:

   fastqc reads.fastq multiqc .

   Look for issues like low-quality bases, adapter contamination, or overrepresented sequences.

3. Read Trimming and Filtering
   Trim low-quality bases and adapters using Trimmomatic or Cutadapt:

   trimmomatic PE reads_R1.fastq reads_R2.fastq trimmed_R1.fastq trimmed_R2.fastq \ ILLUMINACLIP:adapters.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:20 MINLEN:36

Step 2: Choosing an Assembly Strategy

Select an assembly strategy based on your data type:

• Short-Read Assemblers:

  • SPAdes: Popular for microbial genomes.
  • Velvet: Fast for smaller genomes.

• Long-Read Assemblers:

  • Canu: Ideal for long-read datasets.
  • Flye: Versatile for small and large genomes.

• Hybrid Assemblers:

  • MaSuRCA: Combines short and long reads.
  • Unicycler: Optimized for bacterial genomes.

Step 3: Running the Assembly

3.1. SPAdes (Short-Read Assembly)

SPAdes is an excellent choice for small genomes, such as bacteria.

The output includes assembled contigs (contigs.fasta) and scaffolds (scaffolds.fasta).

3.2. Canu (Long-Read Assembly)

Canu is designed for high-error long reads from PacBio or Nanopore.

The output will be in canu_output/genome.contigs.fasta.

3.3. Hybrid Assembly with Unicycler

Unicycler combines short and long reads for improved assemblies.

Step 4: Assessing Assembly Quality

After assembly, evaluate its quality using the following tools:

1. QUAST
   QUAST generates assembly statistics, such as N50, genome size, and GC content:

   quast contigs.fasta -o quast_output

2. BUSCO
   BUSCO checks genome completeness by identifying conserved genes:

   busco -i contigs.fasta -o busco_output -l fungi_odb10 -m genome

3. Assembly Graph Visualization
   Visualize assembly graphs with Bandage:

   Bandage load assembly_graph.gfa

Step 5: Post-Assembly Steps

1. Polishing
   Improve assembly accuracy using tools like Pilon (for short reads) or Racon (for long reads).

   racon long_reads.fasta mapped_reads.sam contigs.fasta > polished_contigs.fasta

2. Scaffolding
   Link contigs into scaffolds using tools like SSPACE or Opera-LG if required.

3. Annotation
   Annotate the assembled genome using Prokka for prokaryotes or Maker for eukaryotes.

   prokka --outdir annotation_output --prefix genome contigs.fasta

Step 6: Sharing and Archiving

1. Submit to Public Repositories
   Share your assembly in databases like NCBI GenBank, ENA, or DDBJ.

2. Metadata Preparation
   Include detailed metadata for your submission, such as organism name, sequencing platform, and coverage.

Best Practices

• Always perform quality checks at each stage to ensure data integrity.
• Use multiple tools to cross-validate results when working with complex genomes.
• Document parameters and software versions for reproducibility.

Conclusion

Genome assembly is a powerful process that transforms raw sequencing data into a coherent representation of an organism’s genome. By following this step-by-step guide, you can successfully assemble genomes and uncover valuable biological insights. Whether you’re assembling a microbial genome or tackling the complexities of a eukaryotic genome, these tools and strategies will set you on the path to success.

Ref. No. GU/Estt/T/308(VI)/2014/6451-61

Applications are invited from the Indian citizens for five (5) teaching posts of Assistant Professor (Contractual) under various departments of Gauhati University. Details of the advertisement, other terms and conditions and the application forms are available in the University website www.gauhati.ac.in

Asstt. Professor (Contractual)

2. M.Sc. Microbiology Course in Botany

3 1.M.Sc. Microbiology/M.Sc. Botany (Specialization in Microbiology)/M.Sc. Biochemistry (1 post). (Preference will be given to candidates having experience in Biochemistry).

2.M.Sc. Microbiology/M.Sc. Botany (Specialization in Microbiology)/M.Sc. Biotechnology(1 post). (Preference will be given to candidates having experience in Bioinformatics).

3.M.Sc. Microbiology/M.Sc. Botany (Specialization in Microbiology)/M.Sc. Biotechnology(1 post). (Preference will be given to candidates having experience in Microbial Genetics).

As per UGC norms

Pay Band & Academic Grade Pay : (Consolidated pay) : Rs. 21,600/- per month

Application Form : Prescribe application form may download from the G.U. website www.gauhati.ac.in

Last date of receipt of filled-in application is 08.01.2015.

Advertisement: www.gauhati.ac.in/openfile.php?file=Notice1258.pdf

Key Findings:

1. Chromosomal Fusion and Its Molecular Signature:

   • The fusion site is located at 2q13–2q14.1 and is characterized by degenerate telomeric sequences appearing interstitially, indicating the historical head-to-head joining of ancestral chromosomes.
   • Despite being a signature of a past fusion event, these telomeric repeats are no longer functional and have undergone sequence degradation over time.

2. Extensive Duplications in the Surrounding Genomic Region:

   • The study identifies large-scale segmental duplications flanking the fusion site, with several of these regions duplicated and scattered across multiple chromosomes.
   • These duplications are predominantly located in subtelomeric and pericentromeric regions, suggesting their role in genomic instability and chromosomal evolution.

3. Paralogous Regions and Their Evolutionary Relationships:

   • A 168-kilobase (kb) segment near the fusion site has 98%–99% sequence identity with three regions on chromosome 9 (9pter, 9p11.2, and 9q13).
   • Another 67-kb region distal to the fusion site shows a high degree of homology to sequences in chromosome 22qter.
   • Additionally, a 100-kb segment exhibits 96% sequence identity with a region in chromosome 2q11.2.

4. Comparative Genomics and Evolutionary Implications:

   • By comparing the duplicated sequences and their arrangement in primates, the researchers traced the order of duplication events leading to their present distribution.
   • The presence of specific repetitive elements within these duplicated segments serves as evolutionary markers that help infer their historical rearrangements.
   • Some of these duplicated regions are associated with chromosomal inversion breakpoints, potentially contributing to evolutionary changes in primates.
   • Recurrent structural rearrangements in these regions have been linked to human chromosomal disorders.

Conclusions and Implications:

• The findings provide valuable insights into the structural evolution of human chromosome 2, which played a crucial role in human speciation.
• Understanding these segmental duplications and their evolutionary trajectories sheds light on genomic instability, which may contribute to human genetic diseases.
• The study highlights how large-scale chromosomal rearrangements, such as fusion and duplication, have influenced the evolutionary divergence of humans from other primates.

This research advances our understanding of human genome evolution and offers a foundation for studying the effects of structural variants in genetic disorders.

Study Subject(s): PhD position is award in the field of Bioinformatics/Computer Science.
Course Level: Position is available for pursuing PhD degree level at the University of Macau.
Scholarship Provider: University of Macau
Scholarship can be taken at: China

Eligibility: The ideal candidate would be a master degree holder in Bioinformatics or related disciplines with knowledge in Medical sciences or Life sciences (with GPA of at least 3.0 on a 4-point scale or equivalent) . Knowledge in programming (C and C++) and Linux scripting are necessary; experience in molecular docking, molecular dynamics simulations or molecular modeling is an advantage. The candidate should be fluent in spoken and written English; preference will be given to applicants with good publication records in relevant areas.

Scholarship Open for International Students: Researchers from China can apply for this PhD position.

Scholarship Description:

The Computational Biology and Bioinformatics Group at the University of Macau is looking for a motivated PhD student in Bioinformatics or Computer Science to work on a research project focusing on the flexible receptor protein-ligand docking algorithms for computer-aided drug design. The candidate will be working as part of a team in developing novel metaheuristic algorithms and scoring functions for large-scale, highly flexible protein-ligand docking problems.

Number of award(s): There is only one PhD position available.

Duration of award(s): The duration of this PhD position is 2-3 years.

What does it cover? Remuneration paid to candidate is MOP 11000-14000/month (~USD 1375-1750/month).

Selection Criteria: Not Known

Notification: Not Known

How to Apply: Send your current CV, your academic transcripts, a letter of motivation and research interests, two letters of recommendations from academic faculty to Dr. Shirley Siu at shirleysiu[at]umac.mo before March 2015.

Scholarship Application Deadline: The applications should be submitted before March 2015.

Is this available, or still under trial mode? 

https://www.nanoporetech.com/

https://www.nanoporetech.com/technology/the-minion-device-a-miniaturised-sensing-system/the-minion-device-a-miniaturised-sensing-system

Recruitment for Project

Applications were invited from the citizens of India for filling up the following temporary position for the CSIR sponsored Fellowship in the School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067. This position is temporary for a period of two and half years or tenable only for the duration of the project. The requisite qualifications & experience are given below.

Project Title : "Understanding Complex dynamics and Information processing in Brain Networks"
Funding Agency : CSIR

Principal Investigator : Dr. R.K. Brojen Singh

Position : Junior Research Fellow(One post)

Salary : As per CSIR rules and guidelines for JRF.

Qualifications & Experience : M.Sc. in Physics/Mathematics/Biology/B.Tech. In Eng. Physics/Comp. Sc. and desirable CSIR-UGC NET Qualified. Candidates should also have at least one years research experience after M. Sc./B.Tech. in works related to Neuroscience/Mathematical modeling.

Candidates possessing requisite qualifications may apply either on plain paper stating the project title along with CV and send to the following address or send as email attachment (pdf or word format) so as to reach on or before 8 January, 2014.

Dr. R.K. Brojen Singh
School of Computational and Integrative Sciences
Jawharlal Nehru University
New Delhi 110067
Email: brojen@jnu.ac.in, brojen@mail.jnu.ac.in

Webinar on 'An integrated RNA and DNA approach to unravel genetic regulation in cancer'

Abstract

Whole exome DNA sequencing (WES) or whole genome DNA sequencing (WGS) allows detection of mutations and polymorphisms in all exonic and genomic regions, respectively, while messenger RNA sequencing (RNA-Seq) enables quantitative analysis of gene expression. Mutations in the genome result in diverse transcriptional aberrations that can be missed in a stand-alone WES/WGS analysis. An integration of DNA variant analysis and RNA-Seq analysis enables one to investigate the consequences of genomic changes in the RNA transcripts including germline and somatic changes, imprinting, RNA editing and allele specific expression (ASE). In this webinar, we will demonstrate this integrated approach using Strand NGS to identify high confidence mutations, RNA editing events and ASE in cancer.

Webinar Details

Register here: http://www.strand-ngs.com/webinar_registration

About Speaker:

Dr. Veena Hedatale, has a PhD in Plant Genetics from The Radboud University, Netherlands focused on meiosis and recombination. Her prior academic experience at Cornell University was on genetic mapping and gene transformation in Rice. She has worked with Monsanto, and contributed to data mining, database development as well as gene/promoter/pathway discovery for traits related to yield and stress in crop species. At Strand, Veena has worked on Pharmacogenomic analysis of targets and Gene family analysis projects. Currently, she is part of the Strand NGS Application Science team and is involved in the analysis of next generation sequencing data.

Please feel free to contact us 24/5, for availing free online training or if you have any questions.