1. Research Associate – 1 No.

Rs. 36,000/38,000/40,000 per month for I, II and III year + 20% HRA

Essential : Doctoral degree in relevant subject from recognized University/ Institutes

Desirable: Research experience in molecular biology and bioinformatics.

Interested candidates can send their complete CV in plain paper with a passport size photograph, with details of marks secured in all subjects from plus two stage (with proof, full postal address, sex, date of birth, community etc., along with additional qualification or experiences and two address of references whom could be contacted.

DEPARTMENT OF MICROBIOLOGY SCHOOL OF LIFE SCIENCES UNIVERSITY Dr. N. THAJUDDIN Professor & Head Dean, Faculty of Science, Technology & Engineering Tiruchirappalli – 620 024, India, Phone: +91 431 2407082; Mobile +91 098423 79719; E-mail: nthaju2002@yahoo.com

Application should reach the Principal Investigator on or before 5.8.2015 by Speed post/Couriers/Email (nthaju2002@yahoo.com), with subject printed as “Application for Research Associate /Technical Assistant /Lab attendant” in the envelop. Qualifying candidates will be short listed and communicated with date of interview. No TA and DA will be given for attending the interview. Address for Communication Dr.N.Thajuddin Principal Investigator Department of Microbiology Bharathidasan University Tiruchirappalli – 620 024, Tamil Nadu.

Advertisement: www.bdu.ac.in/adv/microbiology_advt.pdf

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

Research positions are open starting 15th August 2015.

Projects are specifically for protein structure analysis. Projects also involve drug binding studies both computationally and experimentally.

CSIR/SPM/INSPIRE/DBT/UGC JRF/post-doc fellowships are essential for applications.

Email curriculum vitae to sb.icgeb@gmail.com by 14 August 2015

http://ritg.med.harvard.edu/training/perl/RC_Perl_Intro.pdf

Applications with complete bio-data from candidates possessing the required qualifications are invited for the posts of JRF (1) and Project Assistant (1) in DBT, GOI-funded research project “Next Generation Sequencing (NGS)- based de novo assembly of expressed transcripts and genome information of Orchids in North-East India” in DBT’s Twinning programme for NE as per DBT sanction order and norms.

(i) JRF(1 no.):

Qualifications: M.Tech/M.Sc in Life Sciences/ Botany/ Zoology/ Biochemistry/ Biotechnology/ Bioinformatics;

Desirable: Aptitude for Bioinformatics and Computer Programming/ Next generation sequencing data analysis

(ii) Project Assistant (1 no.):

Qualifications: Graduation in Science,

Desirable: Experience of working in a Life Science/Plant Biotechnology lab. and familiarity with computers and field work viz. collection of samples.

The applications through email bicnehu@gmail.com or post must reach the undersigned within 15 days from the date of publication of this advertisement. The advertised posts are purely temporary for the duration of the project and subject to availability of the funds from DBT. The appointment does not confer any entitlement or right over the posts for absorption in the University service. Prof. Pramod Tandon, PI/Mr. Devendra Kumar Biswal (Co-PI) email: bicnehu@gmail.com

Advertisement: www.nehu.ac.in/Advertisements/BIC_AdvtPV_030815.pdf

Reference@http://www.datasciencecentral.com/profiles/blogs/one-page-r-a-survival-guide-to-data-science-with-r

• Templates for the Data Scientist
  1. A Template for Preparing Data: *OnePageR - *R
  2. A Template for Building Models: *OnePageR - *R
• Getting Started as a Data Scientist
  1. Getting Started with R and Rattle: *Lecture - *Laboratory
  2. Introducing and Interacting with R: *Lecture - *Laboratory
  3. BasicR - OnePage(R) - Writing R scripts
• Dealing With Data
  1. Read Data into R: *OnePageR - *R
  2. Explore and Summarise Data: *OnePageR - *R
  3. Transform Data: *OnePageR - *R
  4. Dealing with Dates and Time: (PDF, R) Dates and Time
  5. Visualising Data with GGPlot2: *OnePageR - *R
  6. Visualising Data with Maps *OnePageR - *R
  7. Spatial (R) Spatial Analysis
  8. Handling Big Data *OnePageR - *R
• Descriptive Analytics
  1. Cluster Analysis: *Lecture - *OnePageR - *R
  2. Association Analysis: *Lecture
• Predictive Analytics
  1. Decision Trees: *Lecture - *OnePageR - *R - *Rattle
  2. Ensembles of Decision Trees: *Lecture - *OnePageR - *R
  3. SVM (R)
  4. KernLab (R)
  5. NeuralNetworks (R)
  6. NNet (R)
• Model Delivery
  1. Evaluating Models: *OnePageR - *R
  2. Evaluation (R)
  3. Scoring (R)
  4. PMML (R) Exporting Models for Deployment
• Advanced Topics
  1. Text Mining: *OnePageR - *R
• Advanced R Topics
  1. Plots (PDF, R) Miscellaneous Plots
  2. Functions (PDF, R) Writing Functions in R
  3. Parallel (PDF, R) Parallel Execution
  4. Packaging (R) Pulling it Together into a Package
  5. Doing R with Style: *OnePageR - *R
  6. Literate Data Mining with KnitR: *Lecture - *OnePageR - *

Jawaharlal Nehru University has been granted funds by the Department of Biotechnology (DBT), Govt. of India to initiate an Inter-School programme in JNU to strengthen training and research called "DBT-Jawaharlal Nehru University, New Delhi-Interdisciplinary Life Science Programme for Advanced Research and education" with the broad project area entitled "From Molecules to Systems: Exploring biological space using chemical and synthetic biology" cutting across Physical, Chemical and Biological Sciences.

Applications are invited for the following purely temporary posts at various levels in the various Group projects for Research and Technical positions. The project is upto March 2017, but the appointments shall be initially for a period of one year, renewable every year depending on the performance of project staff:

Project Sub-Title: Synthetic Genomics: Making sense out of 'junk' DNA

Senior Research Fellow (SRF) - 01 Post

Qualifications: M.Sc in Bioinformatics, with minimum 2 year research experience, specialization in microRNA, molecular modelling, systems and/or Synthetic biology with publication in the relevant area would be desirable.

Investigator: Prof. Pawan Kumar Dhar

Fellowship: Rs. 14000+30% HRA p.m.

Project Sub-Title: "Structure, function, and dynamics of biomolecules and Molecular engineering"

Postdoctoral Fellow (PDF) - 01 Post

Essential Qualifications: PhD in Science(Bioinformatics/Computational Biology, Physics, Chemistry, Mathematics, & Statistics), specialized in the area of Computational Biology/Structural Bioinformatics/ Quantum Chemistry/Molecular Dynamics & Simulation /Systems Biology , reflected by thesis topics and or publication of papers during PhD and/or Post doctoral experience.

Desirable Qualifications: Computational methods and designing experience in the field of Structure based or ligand based drug design, Chemoinformatics, Programming capabilities as required for developing tools in the computational & systems Biology.

Investigator: Prof. Indira Ghosh, SCIS

Salary: Rs. 22, 000 + 30% HRA

(Note: Revised emoluments shall be payable if Educational Qualifications or Eligibility Criteria as per DST OM No. A.20020/11/97-IFD dated 31-03-2010 are met by the research personnel)

The applications on plain paper indicating name, date of birth/age, address, essential / technical / professional qualifications, experience, research work, should reach the Programme Coordinator on or before 27th August 2015 at the following address:

The Envelop should be marked for the Post applied for. Any clarifications regarding projects may be sought from the respective project investigators as mentioned.

Address for correspondence:
Programme Coordinator
DBT-JNU BUILDER programme
School of Biotechnology
Jawaharlal Nehru University
New Delhi 110067

More at http://www.jnu.ac.in/career/currentjobs.htm

What are SNPs?
SNPs (pronounced "snips") are positions in the genome where individuals differ by a single nucleotide. For example:

Reference: ...A T G C A T G A...
Variant:     ...A T G T A T G A...

Here, the C in the reference genome has been replaced by a T in the variant.

SNPs occur roughly every 300–1,000 bases in the human genome, meaning there are millions of them scattered throughout our DNA. Most SNPs have no effect on health, but some are linked to disease susceptibility, drug response, and other traits.

Why Do We Analyze SNPs?
1. Medical Genetics

Identify disease-associated variants (e.g., BRCA1/2 in breast cancer).

Predict drug response (pharmacogenomics).

Enable precision medicine by tailoring treatments.

2. Population Genetics & Ancestry

Trace human migration and ancestry.

Study genetic diversity within and between populations.

3. Agriculture & Animal Breeding

Select for desirable traits (drought resistance, yield, disease resistance).

Improve breeding efficiency in livestock.

4. Evolutionary Biology

Track natural selection.

Study adaptation in wild populations.

How is SNP Analysis Performed?
SNP analysis can be broadly divided into three steps:

SNP Detection
Genotyping arrays: Chips that test hundreds of thousands of known SNP positions simultaneously. Fast and affordable, widely used in consumer ancestry testing.

Whole-genome or whole-exome sequencing: Can detect known and novel SNPs across the genome.

Targeted sequencing or PCR: For focused analysis of specific regions.

Variant Calling
Sequencing data is aligned to a reference genome. Bioinformatics tools (e.g., GATK, bcftools) identify positions where the sequenced sample differs from the reference.

Annotation and Interpretation
Tools (e.g., SnpEff, VEP) predict the functional impact of SNPs.

Are the SNPs in coding regions? Do they cause amino acid changes? Are they known to be pathogenic?

Databases like dbSNP, ClinVar, and GWAS Catalog provide information on known associations.

Common Tools for SNP Analysis
Alignment: BWA, Bowtie2

Variant Calling: GATK, FreeBayes

Visualization: IGV, UCSC Genome Browser

Annotation: SnpEff, VEP

Statistical Analysis: PLINK, SNPTEST

Challenges in SNP Analysis
False positives/negatives: Sequencing errors, alignment issues.

Population stratification: Confounding in association studies.

Interpretation: Many SNPs have unknown or complex effects.

Researchers address these with rigorous quality control, large datasets, and increasingly sophisticated statistical models.

The Future of SNP Analysis
With advances in sequencing technology and AI-driven analysis, SNP studies are expanding:

Polygenic risk scores predict disease risk based on thousands of SNPs.

Large-scale biobanks (e.g., UK Biobank, All of Us) enable powerful genome-wide association studies (GWAS).

CRISPR and functional assays help validate SNP effects in the lab.

SNP analysis is at the heart of the genomic revolution, promising insights into biology, health, and evolution at unprecedented scale.

Conclusion
From diagnosing rare diseases to designing better crops, SNP analysis is a foundational tool in modern science. As our ability to sequence and interpret genomes improves, so will our understanding of these tiny—but mighty—variations in DNA.

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.

1. FASTA
2. FASTQ
3. SAM
4. BAM
5. VCF
6. GFF
7. GTF

Address of the bookmark: https://bioinformatics.uconn.edu/resources-and-events/tutorials/file-formats-tutorial/