The position is open for immediate appointment and available for two years and then extendable for additional one year. The applicant will be appointed as Research Associate based on qualifications as detailed below:

Research Associate:

-Master’s degree with bioinformatics with at least 2 years of research experience in Next Generation sequencing data analysis as evidence from Fellowship/ Associateship / Training / other engagements.

-Familiarity with bioinformatics tools, database development, programming skills

-Minimum 1 publication in any peer reviewed journal

Salary will be as per ICAR rules and guidelines. Application will be shortlisted based on CV, reference letters from mentors and telephonic interview. Candidates will be called for a personal interview at Bangalore before appointment. No travel expense will be provided for attending interview at Bangalore.

Interested candidates may send a Letter of Interest and CV by email to: keshav@ibioinformatics.org before September 29, 2015.

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.

Working with other members of the TNDRG you will analyse complex genomic and epidemiological datasets, evaluating which computational tools are most suitable. You will contribute to the generation of innovative tools for linking epidemiological and multilevel omics datasets, ensuring that computer programs are written in a form that other collaborators can use and expand.

You will have or be close to completion of a PhD in either: bioinformatics; neuroscience; machine learning; statistics; epidemiology; neurology; or other relevant field. You will have experience programming on either R, Matlab, Python, C++, Java or any other imperative, object oriented or functional language.

Please direct Informal enquiries to Dr Alejo Nevado-Holgado (alejo.nevado-holgado@psych.ox.ac.uk).

You will be required to upload a supporting statement explaining how you meet the selection criteria for the post, a CV, and details of two referees as part of your online application.

The closing date for applications is 12.00 midday on 2 September 2015. Interviews will be held on Tuesday 15 September 2015.

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=118696

Address of the bookmark: https://github.com/broadinstitute/VariantBam

Junagadh Agricultural University has given a recruitment notification to fill the posts of Senior, Junior Research Fellows in the establishment.

Name & No: of Posts:

1. Senior Research Fellow: 05
2. Junior Research Fellow: 05

Title of the Projects under Senior Research Fellow:

1. Molecular mapping of important traits and their transfer through marker assisted selection in Groundnut and cotton
2. Aflatoxin and its management in groundnut at Saurashtra region of Gujarat.
3. Improvement in Agricultural Production through nanotechnological inventions at Junagadh.
4. Synthesis and Characterisation of chitosan based NPK-Nano fertilizers

Title of the Projects under Junior Research Fellow:

1. Improvement in Agricultural Production Through Nanotechnological Inventions at Junagadh.
2. Synthesis and Characterisation of chitosan based NPK-Nano fertilizers

Required Eligibility Criteria:

1. Senior Research Fellow:

Age Limit: Candidates age must be maximum 35 years
Educational Qualification: M.Sc in Nanotechnology/Biotechnology/Bioinformatics
Salary: Rs. 16,000/- + HRA for first and second year, Rs. 18,000/- + HRA during third year

2. Junior Research Fellow:

Age Limit: Candidates age must be maximum 30 years
Educational Qualification: B.Sc or M.Sc degree in the field of Nanotechnology/Biotechnology
Salary: Rs. 9,600/- , Rs. 14,400/- p.m

Eligible candidates may attend the walk-in-interview on 10-09-2015 with necessary certificates of testimonials

Click Here for Detailed Recruitment Notification
http://www.jau.in/attachments/Advt/BiotechSRFJRF.pdf

A swift, versatile phylogenomic and high-throughput sequencing simulator https://jackalope.lucasnell.com

Address of the bookmark: https://github.com/lucasnell/jackalope

Project Fellow Bioinformatics recruitment in Indian Institute of Chemical Biology (IICB) purely temporary

Name of the Project: "Genomics and Informatics Solutions for Integrating Biology(Genesis)".

No. of Vacancies: 1

Qualification required : M.Sc in Bioinformatics with 55% Marks.

Experience (Desirable): Candidate should be well versed with sequencing data analysis,assembly and annotation of whole genome sequence. Experience in transcriptional data analysis is also preferred.

Age Limit : 28 Years

Stipend : Rs.16000
How to apply
Interested candidates may appear for the walk-in-interview to be held on 28.09.2015 from 11.00 a.m. in the Red Carpet Room with the following documents self attested copy - (1) Matriculation Certificate in support of your date of birth, (2) Degree/Diploma Certificate, (3) Original reprints of all testimonials regarding educational qualification, (4) No Objection Certificate from the employer if employed, (5) Final Mark Sheet of M.Sc. Examination, (6) One Passport size photograph.

http://www.career.iicb.res.in/Recruitment%20Notice.php

More at https://software.broadinstitute.org/gatk/download/bundle

ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/.

ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/

Address of the bookmark: https://console.cloud.google.com/storage/browser/genomics-public-data/resources/broad/hg38/v0?pli=1

ICAR-INDIAN AGRICULTURAL RESEARCH INSTITUTE

L.B.S Building, Pusa Campus,

New Delhi-110012

Walk-in-Interview: 18th December 2015

DBT funded project: Distributed Information Centre under BTISnet (PI: Dr. A.K.Mishra)

Senior Research Fellow Two

Rs 28000/- + HRA

i) Master’s degree in Bioinformatics or Computer Science+ NET qualification and two years research experience, or

ii) M. Tech degree in Bioinformatics or Computer Science /Engineering with two years research experience Efficiency to handle agricultural databases and bioinformatics tool development

#Junior Research Fellow

Rs. 25000/- + HRA

i) Master’s degree in Bioinformatics or Computer Science + NET qualification, or

ii) M. Tech degree in Bioinformatics or Computer Science/Engineering Efficiency to handle agricultural databases and bioinformatics tool development

Traineeship Two

Rs. 8000/- consolidated

M.Sc./M. Tech (Bioinformatics) with 60 % marks from a recognized University

Studentship Four

Rs. 8000/- consolidated

Final year M.Sc./ M.Tech (Bioinformatics) Students from a recognized University

* M. Tech with Four Years Bachelor’s degree followed by Master’s degree

# In case suitable person is not found for SRF position, it may be filled at the JRF level The interview will be held on 18 th December 2015 at 10:00 AM at AKMU, LBS Building, IARI, Pusa Campus, New Delhi-110012. Terms and Conditions:  Maximum age limit is 35 years for all positions. Age relaxation of 5 yrs for SC/ST/OBC and woman candidates will be given.  The above post is purely temporary and is co-terminus with the project. The candidate shall not claim for regular appointment.  No TA/DA will be paid for attending the interview.  Bring self attested copies and originals of all certificates ( class 10th )onwards along with biodata in the attached format, proof of date of birth, one passport size photo, NOC from present employer, if any  Canvassing in any form will disqualify the candidate. 

Reporting time for interview: 9.30-10.00 AM at AKMU, IARI, New Delhi -110 012

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www.iari.res.in/files/SRF_JRF_Akkmu-27112015-20151127-124003.pdf