Applications are invited for one JRF position supported by DST sponsored project in Bioinformatics with Dr. Tarun Kumar Bhatt.

Title of the project: Molecular Modeling of malaria parasite ‘secretome’: A potential drug target

Fellowship: Rs. 14000 consolidated

Duration of project: 36 months.

Essential Qualification: Master’s degree in Biotechnology/Bioinformatics with minimum 55% marks. Age limit as per government rule.

Candidates with good experience of molecular modeling, In-silico screening, MD simulation and database formation will be preferred. Good knowledge of Linux operating system is desirable.

How to apply: Interested candidate can send soft copy of application in format given below to tarun@curaj.ac.in on or before 29/08/2015.

1. Name
2. Fathers name
3. Date of Birth
5. Age
6. Sex
7. Address
8. Telephone / mobile no.
9. Email:
10. Academic qualifications starting from 10th class.
11. Summary of experience in molecular modeling, In-silico screening and database formation.

General Conditions:

1.Selected candidate would be informed for date and time of the interview via email .
2. No TA/DA will be paid for attending the interview.

More at http://www.curaj.ac.in/2015/Rec/aug/Advertisement%20for%20post%20of%20JRF%20under%20DST%20project%28BioTech%29.pdf

The "Ifs" of NGS QC and Trimming

1. Ensures Data Integrity
   If you want to minimize errors in downstream analyses, QC and trimming remove low-quality reads and bases, ensuring high-confidence data. This step is essential for reliable variant calling, assembly, and other applications.

2. Removes Contaminants
   If adapter sequences or contaminants are present in the raw reads, trimming can eliminate them. This prevents issues like misalignment or incorrect biological interpretations, ensuring cleaner data for analysis.

3. Improves Mapping and Assembly
   If your goal is better alignment to a reference genome or improved de novo assembly, trimming low-quality bases and adapters is critical. High-quality reads map more efficiently and generate more accurate assemblies.

4. Reduces Computational Load
   If you want to save computational resources, trimming reduces the dataset size, which speeds up processing and analysis. Clean datasets mean less computational time spent on processing low-quality data.

5. Prepares for Standardized Analyses
   If your project involves multiple datasets, QC and trimming ensure uniformity across them. This standardization makes comparisons valid and reproducible, particularly in large collaborative studies.

The "Buts" of NGS QC and Trimming

1. Risk of Over-Trimming
   But excessive trimming can lead to the loss of informative sequences, reducing read depth and potentially discarding biologically relevant data. This is especially critical in studies with limited sequencing depth.

2. Bias Introduction
   But trimming algorithms might introduce biases, especially if they inadvertently remove sequences with specific biological patterns. This can skew results and compromise biological insights.

3. Loss of Context in Paired-End Reads
   But trimming one read in a pair more than the other can lead to loss of pairing information. This complicates downstream analyses that rely on paired-end data, such as structural variant detection.

4. Time and Resource Intensive
   But running QC and trimming for large datasets can be computationally expensive and time-consuming. As sequencing depth increases, preprocessing becomes a bottleneck in the analysis pipeline.

5. Variable Standards
   But the criteria for trimming (e.g., quality threshold, minimum read length) can vary between tools and datasets. This variability may affect reproducibility and comparability of results across studies.

Balancing the "Ifs" and "Buts"

To maximize the benefits of QC and trimming while mitigating the challenges, consider the following best practices:

• Use QC Tools Wisely: Start with tools like FastQC to identify quality issues in your raw data. Visualizing quality metrics helps tailor your trimming parameters.

• Choose Reliable Trimming Tools: Tools like Trimmomatic, Cutadapt, and BBduk offer adaptive and customizable trimming options. Select one that aligns with your dataset and project goals.

• Set Reasonable Parameters: Avoid over-trimming by setting quality thresholds and minimum read lengths that balance data retention and quality improvement.

• Test Downstream Effects: Validate the impact of QC and trimming on downstream analyses, such as alignment efficiency, variant calling accuracy, or assembly quality.

• Document Your Workflow: Maintain detailed records of the parameters and tools used for QC and trimming. This ensures reproducibility and enables better troubleshooting.

Conclusion

NGS quality control and trimming are essential steps to ensure reliable and accurate data for analysis. While the "ifs" highlight the clear benefits of these steps, the "buts" remind us of the potential pitfalls. By adopting best practices and carefully balancing these considerations, you can optimize your preprocessing workflow and unlock the full potential of your sequencing data.

Project Title No. of post(s) Designation Stipend in Tenure Start End
Establishment of Distributed Information Sub-Centre (DISC) 02 Trainee Fellow / Student Fellow 5,000/- p.m Six months 01/01/2016 30/06/2016

Essential Qualification:

Traineeship: Candidate having B.Tech or Master Degree or equivalent in Bioinformatics/ Biotechnology with strong interest in Computational Biology and First class/ division throughout academic career may apply.

Studentship: Students currently pursuing the final year of B.Tech or Masters Degree or equivalent in Bioinformatics/ Biotechnology, requiring a thesis as a necessary pre-requisite for completion of respective degree and First class/ division throughout academic career may apply.

Desirable Qualification: Proficiency in Coding Algorithms and Bioinformatics Applications, evidenced by short trainings or computing courses.

The positions are purely temporary and co-terminus with the tenure of the training period as mentioned above. NIPGR reserves the right to select the candidate against the above fellowship depending upon the qualification and experience of the candidate. Reservations shall be as per Govt. of India norms. The applicants will have no claim implicit or explicit for consideration against any regular position of DISC/NIPGR.

Eligible candidates may apply online application form available

at http://www.nipgr.res.in/discform.html within 15 days from the date of

advertisement.Applications received through any other mode will be disqualified outright.

More at http://www.nipgr.res.in/discform.html

• Whole-genome sequencing
• Whole-exome sequencing
• RNA-seq (speical mode available)
• ChIP-seq

Address of the bookmark: http://qualimap.bioinfo.cipf.es/

Address of the bookmark: https://github.com/fenderglass/Flye

GARGI COLLEGE (University of Delhi)

SiriFort Road, New Delhi-110049

Walk- in- interview Bioinformatics Infrastructure Facility (BIF), Gargi College, University of Delhi invites to appear for interview on 29th September, 2015 at 9.30 AM for filling up the following purely temporary position sponsored by DBT, New Delhi.

1. Traineeship – 01 (one post) purely temporary for a period of six months.

Salary: Rs.8000/- p.m. fixed.

Essential Qualification: Post Graduate degree in Bioinformatics or any other branch of Life Sciences preferably with dissertation in Bioinformatics.

Desirable Qualification: Prior knowledge of programming languages such as C, VB, SQL etc. and software/database development.

2. Research Associate-01(one post) purely temporary for a period of nine months.

Salary: Rs 36000/-+HRA p.m fixed.

Essential Qualification: PhD in Bioinformatics/Biological Sciences/Computer Science or allied sciences with proven experience in bioinformatics.

3. Studentship- 01 (one post) purely temporary for a period of six months.

Salary: Rs.8000/- p.m. fixed.

Essential Qualifications: Final year Post Graduate students pursuing a degree in Bioinformatics or any branch of Life Science with knowledge of bioinformatics.

Interested candidates are required to appear for the walk in interview on 29th September, 2015 at 9.30 AM in Principal’s Office, Gargi College, Sirifort Road, N. Delhi-110049, with their CVs, original documents and a set of Photostat copies of all original documents. Conditions: The original documents must be produced at the time of interview, otherwise will not be allowed to attend the same. No TA & DA will be paid for appearing in the interview. The institute reserves the right to fill or not to fill the positions depending upon qualifications/credentials of the candidates etc. The appointment does not confer any right over the job and will not be considered as institute’s service. Dr Aparajita Mohanty Dr Shashi Tyagi (Co-coordinator,BIF) (Coordinator, BIF)

Advertisement:

http://gargi.du.ac.in/uploads/ngrey/News/Gargi_Advt_BIF_2015.pdf

https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html

Address of the bookmark: https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html

Name of post: Research Associate
Salary: Rs.36000/-+ 30% HRA*
Educational Qualification: Candidates should have PhD in Biotechnology / Bioinformatics Life Sciences (or) M.Sc Biotechnology / Bioinformatics with three years research experience in relevant field

Name of post: Junior Research Fellow
Salary: Rs.25000/-+ 30% HRA*
Educational Qualification: Candidates should have M.Sc in Biotechnology /Bioinformatics / Life Sciences with 1st Division or 60% marks or equivalent overall grade point from any recognized professional University

Age Limit: 35 years max. (5 years relaxation for SC/ST/OBC)

How to attend walk in interview?
Interested candidates may attend Walk- in-interview on 1st October, 2015 at 10 am at NRCPB, LBS Building, Pusa Campus, and New Delhi-110012 at the above address along with updated Bio-data (CV), ID Proof & attested copies of Certificates and Original to prove qualification & Experience.

Recruitment reference: http://www.nrcpb.org/jobslist

(A Central University established by an Act of Parliament)

Prof. C.R.Rao Road, P.O. Central University Campus, Gachibowli,

Hyderabad - 500 046

Advt.No. UH/HR/Rectt-2015/02 dt. 12.10.2015

The University invites applications from the Indian citizens for the following positions:

Professor / Associate Professor / Assistant Professor :

Biotechnology & Bioinformatics

Last date : 16th November 2015

More Info : http://www.uohyd.ac.in/images/recruitment/advt-121015.pdf

JRF /1

Qualification : Master’s Degree in Biotechnology / life sciences with four years Bachelor’s Degree (or) Master’s Degree in Biotechnology / life sciences with NET qualification with 1st Division or 60% marks or equivalent overall grade point average . Non NET/ Master’s degree with three years Bachelor’s degree as per DST/DBT norms. Desirable: Working Experience in Molecular Biology Techniques, genome sequence analysis Bioinformatics

Emoluments : Rs.25000

SRF

Qualification : Master’s degree in Biotechnology/Bioinformatics/Life Science with 1st division or 60% marks or equivalent overall grade point average with 4 year of Bachelor’s degree or 5 years integrated Masters degree. Desirable: Working experience in Bioinformatics, genomic analysis

Emoluments : Rs.25000/

Age Limit: 35 years

Walk-in-interview will be held on 20th November 2015 at 10 AM at NRCPB, LBS Building, Pusa Campus, and New Delhi-110012

More at http://www.nrcpb.org/sites/default/files/Adverdisement_0.pdf