Salary: Rs. 10,000/- per month.

Age limit: 35 for men and 40 for women & SC/ST.

Qualification: First class in M. Sc (Agriculture)/MCA/M.Sc (IT)/ M. Sc (Computer Application)/M.Sc (Bioinformatics)/M.Sc (Geoinformatics).

Desirable: Two years experience in web design and web programming.

Date & time of interview: 08.10.2013, 10 am

Interested candidates may appear for an interview at this institute along with their application in plain paper containing the following particulars viz. (1) Name (2) Father/Husband/Guardian’s Name (3) date of birth & age as on 01.10.2013 (4) Permanent address (5) Address for communication (6) Email address and Telephone No. with code (7) Qualification (8) National fellowship like ICAR/CSIR/UGC etc. if any (9) Whether SC/ST/OBC (10) Details of experience (Attested copies of degree certificate, proof of age, mark sheets). Original certificates should be produced for verification.

No TA/DA will be admissible to the candidates attending the test. The selected candidate will have to join immediately.

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Address of the bookmark: https://github.com/sib-swiss/training-collection

The course Bioinformatics Algorithms (Part 1) by Pavel Pevzner, Phillip E. C. Compeau, and Nikolay Vyahhi from University of California, San Diego will be offered free of charge to everyone on the Coursera platform. Sign up at http://www.coursera.org/course/bioinformatics.

More at https://www.nibmg.ac.in/uploads/3c5d4da3fb31bef490a218805408c858.pdf

Walk-in-Interview

Walk-in-interview will be held on October 5, 2013 at 10:00 A.M. at IASRI, New Delhi for a project “A New Distributed Computing Framework for Data Mining” funded by Department of Electronics and Information Technology, Government of India for the following posts. The appointment will be on contractual basis upto 14th October, 2015 or till the termination of the project whichever is earlier and the incumbent shall not have any claim for regular appointment under ICAR.

Research Associate

Ph.D. in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application or equivalent or

Post-Graduation in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application or equivalent with 1st Division and at least two years of research experience

 Knowledge of Statistical Analysis /Bioinformatics tools for computational genomics.

 Knowledge of R/Perl programming language

Research Associate

Ph.D. in Computer Science/ Computer Application / Bioinformatics/ Agricultural
Statistics/ Statistics or equivalent or

Post-Graduation in Computer Science/ Computer Application /Bioinformatics/ Agricultural Statistics/ Statistics or equivalent with 1st Division and at least two years of research experience

 Expertise in Java programming.
 Knowledge of system administration and networking under Linux environment.
 Knowledge of parallel programming and cluster computing.

Emoluments for Research Associate: Consolidated Rs:24000/- per month + HRA (for Ph.D. Degree holders) and Rs:23000/- per month + HRA (for Master’s Degree holders)

Age Limit: Age should be not more than 40 years (5 years relaxation for SC/ST/women candidates and 3 years for OBC candidates as on date of interview).

Interested candidates are requested to appear for Walk-in-Interview on the date and time as specified above in Room No. 106, Training Cum Administrative Block of the Institute along with their application giving bio-data with attested copies of certificates, degrees, testimonials, etc. and one passport size photograph.

Original certificates/ Degrees are needed to be produced at the time of interview.

No T.A. /D.A. will be paid for appearing in the interview.

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We are looking for a highly motivated candidate with a PhD degree in
Bioinformatics or a related field. Candidates are expected to have a
strong background in evolutionary biology and/or comparative functional
genomics. Additional experiences in single cell functional genomics
analyses, statistics and computational data analyses are a plus, as is
an interest in comparative developmental (EvoDevo) questions.

We offer a dynamic and interactive research environment with state-of-the
art research facilities, good research funding and internationally
competitive salaries.

The Tschopp lab (www.evolution.unibas.ch/tschopp/research/)
studies the gene regulatory mechanisms of cell type
specification and evolution in vertebrates. See also our
preprints at https://doi.org/10.1101/2024.03.26.586769 and
https://doi.org/10.1101/2024.11.28.625862 Applications should include
a motivation letter, a CV, a list of publications, a statement about
research interests, as well as the names and contact details of at
least two referees. Applications (in the form of a single .pdf file)
should be sent to Patrick Tschopp (patrick.tschopp@unibas.ch); review
of applications will begin on January 1st 2025, and will continue until
the position is filled.

Lab page @ http://krishna.gs.washington.edu/index.html

Here’s a curated list of the top websites offering bioinformatics job opportunities and postdoctoral fellowships worldwide.

1. General Bioinformatics Job Portals

These platforms are ideal for bioinformaticians seeking jobs in diverse sectors:

• Nature Careers: A trusted resource for job seekers in the sciences, Nature Careers offers bioinformatics roles globally. Their specialized search function allows you to filter jobs by keyword, location, and more.

  • Explore Bioinformatics Jobs on Nature Careers

• Science Careers: A job board from the AAAS, this site focuses on STEM jobs, including numerous bioinformatics opportunities in academia and industry.

• Euraxess: Euraxess is the go-to platform for researchers looking for jobs, fellowships, and funding across Europe and beyond. It lists both bioinformatics roles and research grants.

  • Search Bioinformatics Jobs on Euraxess

• ResearchGate Jobs: ResearchGate is widely known as a platform for researchers to share publications, but it also has a robust job board featuring bioinformatics positions globally.

• FindAPostDoc: This site is dedicated to helping postdoctoral researchers find positions, with bioinformatics being a popular category.

• Academic Positions: Targeting academic roles worldwide, Academic Positions lists bioinformatics jobs at universities and research institutions.

• PostdocJobs.com: Specializing in postdoctoral roles, this platform is a great resource for early-career researchers looking for bioinformatics-related positions.

• Scholarship Positions: In addition to jobs, Scholarship Positions provides information on scholarships, fellowships, and grants related to bioinformatics.

2. Fellowship and Training Opportunities in Bioinformatics

For those seeking fellowships or specialized training, these organizations offer postdoctoral programs, grants, and research opportunities:

• NIH Office of Intramural Training and Education: The National Institutes of Health offer extensive research training programs for postdocs, including those in bioinformatics.

• NSF Research Opportunity Awards: The National Science Foundation funds bioinformatics research at predominantly undergraduate institutions, providing fellowships and grants.

• Top U.S. Universities: Many prestigious U.S. institutions, including Harvard, Berkeley, Yale, MIT, Johns Hopkins, UCSD, and Cornell, offer postdoctoral opportunities in bioinformatics.

3. Country-Specific Job and Fellowship Resources

If you're targeting a specific region, these platforms offer bioinformatics opportunities tailored to their respective countries:

Canada

• CAPS/ACPP: The Canadian Association of Postdoctoral Scholars provides a job board, including bioinformatics roles in academia.
• Banting Postdoctoral Fellowships: A prestigious fellowship program for postdocs in bioinformatics and related fields.
• Mitacs Elevate: A Canadian initiative offering fellowships to connect postdoctoral researchers with industry partners.

United Kingdom

• UKRI: The UK Research and Innovation body funds bioinformatics research and offers various grants.
• The Royal Society: Provides funding schemes for researchers in bioinformatics.
• Marie Skłodowska-Curie Actions: The MSCA funds fellowships and doctoral programs across Europe, including bioinformatics-related projects.
• Wellcome Trust: Offers research funding and career development opportunities in health-related fields, including bioinformatics.

Europe

• EMBO Fellowships: The European Molecular Biology Organization supports bioinformaticians through fellowships and career grants.
• Max Planck Society: A leading research organization offering bioinformatics positions and fellowships across Europe.
• Helmholtz Association: A major research organization in Germany offering bioinformatics roles in various disciplines.
• Leibniz Association: Offers research opportunities, including bioinformatics, across its numerous institutes.

Australia and New Zealand

• Australian Research Council: Offers funding and research schemes, including in bioinformatics.
• Top Universities: Universities like Sydney, Melbourne, and Queensland have research programs in bioinformatics.

Asia

• Japan Society for the Promotion of Science (JSPS): Offers fellowships for international researchers in bioinformatics.
• Top Institutions: Universities like NUS, CAS, and IISc are leading hubs for bioinformatics research.

Middle East

• Qatar Research, Development, and Innovation (QRDI): Offers research opportunities in bioinformatics.
• KAUST: A leading university in Saudi Arabia offering bioinformatics research positions.

Africa

• African Academy of Sciences: Provides career opportunities and research funding in bioinformatics across Africa.

Conclusion

The field of bioinformatics is full of exciting opportunities for those with the right skills. Whether you are looking for a postdoc position, research funding, or a long-term job in industry, these platforms are an excellent starting point. Explore, apply, and take the next step in your bioinformatics career!

(A) Regulatory System Analysis with respect to microRNAs

(B) Computational Epigenomics & Regulomics:

(C) Computational issues with Next Generation Sequencing:

Department of Biotechnology,
Institute of Himalyan Bioresources Technology
CSIR, Palampur(Himachal Pradesh), India.
Email: ravishihbt.res.in; ravish9gmail.com

More @ http://scbb.ihbt.res.in/SCBB_dept/Lab_Member.php

What Are lncRNAs?

lncRNAs are RNA transcripts longer than 200 nucleotides that do not code for proteins. Despite their non-coding nature, they play diverse roles in gene regulation, including chromatin remodeling, transcriptional control, and post-transcriptional processing. Unlike messenger RNAs (mRNAs), lncRNAs often function as scaffolds, decoys, or guides in cellular machinery, influencing biological processes such as cell differentiation, immune response, and even cancer metastasis.

Challenges in lncRNA Research

Identifying and understanding lncRNAs pose unique challenges:

1. High Sequence Variability: Unlike protein-coding genes, lncRNAs exhibit low sequence conservation across species, making functional predictions difficult.
2. Low Expression Levels: lncRNAs are often expressed at low levels, complicating their detection in transcriptomic data.
3. Diverse Functions: The multifunctional nature of lncRNAs requires advanced computational tools to decipher their roles in complex networks.

Bioinformatics: A Crucial Ally in lncRNA Research

Bioinformatics bridges the gap between raw biological data and meaningful insights, making it indispensable in lncRNA research. Here’s how:

1. Identification and Annotation

High-throughput sequencing technologies like RNA-seq generate vast amounts of data. Bioinformatics tools such as StringTie, Cufflinks, and HISAT2 help assemble and annotate lncRNAs from this data. Additionally, databases like NONCODE, LNCipedia, and Ensembl provide curated repositories of lncRNA sequences and annotations.

2. Functional Prediction

Bioinformatics algorithms predict the potential functions of lncRNAs by analyzing their interactions with DNA, RNA, and proteins. Tools like LncRNA2Function and RIblast utilize sequence motifs and secondary structure predictions to hypothesize about the roles of specific lncRNAs.

3. Network Construction

lncRNAs often act as regulatory hubs. Bioinformatics platforms such as Cytoscape enable the visualization of lncRNA-mediated networks, elucidating their roles in pathways like cell cycle regulation and apoptosis.

4. Epigenetic Studies

lncRNAs are known to interact with chromatin-modifying complexes, influencing gene expression epigenetically. Tools like ChIP-seq and ATAC-seq, combined with computational pipelines, identify these interactions and map them to the genome.

5. Clinical Applications

Bioinformatics aids in the discovery of lncRNA biomarkers for diseases like cancer and neurodegenerative disorders. Machine learning models analyze differential expression profiles, helping prioritize lncRNAs with therapeutic potential.

Case Study: lncRNAs in Cancer Research

lncRNAs such as HOTAIR and MALAT1 have been implicated in cancer progression. Bioinformatics analyses have revealed their roles in promoting metastasis and altering the tumor microenvironment. For example, transcriptome analysis in cancer patients identifies lncRNA expression signatures, enabling precision medicine approaches.

Future Directions

The fusion of bioinformatics with experimental biology is unlocking the secrets of lncRNAs. Advances in artificial intelligence, single-cell sequencing, and structural modeling promise to overcome current limitations. Here are some promising directions:

• Integrative Analysis: Combining multi-omics data to understand the interplay of lncRNAs with other biomolecules.
• CRISPR Screens: Leveraging bioinformatics to design CRISPR-based functional screens for lncRNAs.
• Therapeutic Development: Using bioinformatics to design lncRNA-based therapeutics, including antisense oligonucleotides and RNA interference tools.

Conclusion

lncRNAs are the hidden gems of the genome, and bioinformatics is the key to unearthing their full potential. As research progresses, lncRNAs could pave the way for novel diagnostics, targeted therapies, and personalized medicine, revolutionizing our approach to complex diseases.

The journey into the world of lncRNAs is only beginning, and bioinformatics will continue to play a pivotal role in decoding these molecular mysteries. Whether you’re a researcher, clinician, or bioinformatics enthusiast, the study of lncRNAs offers a fascinating frontier of discovery.