In this project, you will use single-molecule techniques to label mRNA and DNA in (live and fixed) Drosophila embryos and fixed embryonic bodies. You will also use super-resolution microscopy to visualize protein condensates. Co-localization dynamics reflecting DNA-protein bindings and DNA looping events will be detected, analyzed, and used to test computational models of gene transcription.

Qualification:
MSc degree (or equivalent) in Biology, Biophysics, or Bioengineering

Experience in one or more of these areas: (1) molecular cloning, (2) imaging, (3) image analysis (using Matlab/Python/Java), (4) microfluidics, and (5) computational modeling.

How to Apply?
Send (1) your CV, (2) summary of research experience, and (3) email addresses of at least 2 references to ezzat.el-sherif@fau.de. Title your email ‘Transcription PhD Position’.

salary Grade.: E13
Total Time: 3 Jahre
Start: 01.01.2020.
End: 31.3.2020.

Address:
Dr. El-Sherif, Ezzat
Department Biologie
Professur für Zoologie (Entwicklungsbiologie) (Prof. Dr. Klingler)
Telefon 09131/85-28068, Fax 09131/85-28040, E-Mail: ezzat.el-sherif@fau.de

#Find the reverse complement of a DNA string.
#Given: A DNA string Pattern.
#Return: Pattern, the reverse complement of Pattern.

use strict;
use warnings;

my $string="AAAACCCGGT";
my $finalString="";
my %hash = (
    "C" => "G",
    "A" => "T",
    "T" => "A",
    "G" => "C",
);

for (my $aa=0; $aa<=(length($string)-1); $aa++) {
    my $char=substr $string, $aa, 1;
    #print $hash{$char};
    $finalString="$hash{$char}"."$finalString";
}

print $finalString;
print "\n";

Protein-protein and protein-DNA/RNA docking based on a hybrid algorithm of template-based modeling and ab initio free docking.

The HDOCK server distinguishes itself from similar docking servers in its ability to support amino acid sequences as input and a hybrid docking strategy in which experimental information about the protein–protein binding site and small-angle X-ray scattering can be incorporated during the docking and post-docking processes.

Address of the bookmark: http://hdock.phys.hust.edu.cn/

Monthly fellowship (in rupee): 5,000/-

Traineeship

First Class M.Sc Bioinformatics/ Biotechnology/ Botany

Studentship: 5,000/-

M.Phil/M.Tech Bioinformatics/ Biotechnology/ any branch of Life Science students for doing their thesis work in the area of Bioinformatics.

Age limit as on 1.1.2015, 28 years. Age relaxation will be provided for SC, ST, OBC candidates as per Govt. norms.

Interested candidates may appear for walk-in-interview on 16th June 2015 at 10.30 am at JNTBGRI, Palode, Thiruvananthapuram. The candidate should report to the Office at Palode before 10.00 am

More at http://www.jntbgri.in/jntbgri/news/File0001.pdf

Key Components

1. Sample Collection: Meta-transcriptomics begins with the collection of environmental samples. These samples are often complex, containing a wide range of microorganisms.

2. RNA Extraction: RNA is extracted from the sample, which includes mRNA, rRNA, tRNA, and other non-coding RNAs. This step is crucial as it determines the quality and representativeness of the data.

3. Sequencing: High-throughput RNA sequencing (RNA-seq) technologies are used to obtain sequences of the RNA transcripts. This step provides a vast amount of data on the RNA molecules present in the sample.

4. Data Analysis: Computational tools and bioinformatics methods are employed to process and analyze the sequencing data. This involves mapping RNA sequences to reference genomes or transcriptomes, identifying expressed genes, and quantifying their abundance.

5. Functional Annotation: The functional roles of identified transcripts are inferred based on known gene functions, allowing researchers to understand the metabolic and ecological functions of the microbial community.

Applications

1. Environmental Monitoring: Meta-transcriptomics can be used to monitor the health and functional status of ecosystems. For example, it can help assess the impact of pollution on microbial communities by revealing changes in gene expression related to stress response and degradation processes.

2. Microbiome Research: In human health, meta-transcriptomics offers insights into the gut microbiome’s functional state. It helps in understanding how microbial communities interact with their host, how they respond to dietary changes, and their role in health and disease.

3. Biotechnology: The technique can aid in the discovery of novel enzymes and bioactive compounds by profiling microbial communities in extreme environments or industrial processes.

4. Disease Pathogenesis: By analyzing RNA profiles from disease-associated environments, researchers can uncover pathogen-host interactions and identify potential targets for therapeutic interventions.

Challenges

1. Complexity of Data: The sheer volume and complexity of data generated by meta-transcriptomics can be overwhelming. Effective data management and advanced computational tools are required to extract meaningful insights.

2. Sampling Bias: Environmental samples can be heterogeneous, and RNA extraction methods may introduce biases, potentially affecting the accuracy of the results.

3. Reference Databases: Incomplete or biased reference databases can hinder the accurate functional annotation of transcripts, especially when studying novel or poorly characterized organisms.

Future Directions

Meta-transcriptomics is a rapidly evolving field, with ongoing advancements in sequencing technologies and bioinformatics. Future research may focus on improving data integration, developing more comprehensive reference databases, and enhancing our understanding of microbial community dynamics in various environments. As these challenges are addressed, meta-transcriptomics will continue to provide valuable insights into the functional roles of microorganisms and their interactions within ecosystems.

Conclusion

Meta-transcriptomics represents a powerful tool for exploring the functional aspects of microbial communities in their natural environments. By capturing a snapshot of gene expression and metabolic activities, this approach offers a deeper understanding of ecological interactions, health implications, and biotechnological potentials. As technology and methodologies advance, meta-transcriptomics is poised to make significant contributions to our knowledge of the microbial world.

Sr Research Fellow & Technical Asst Posts: Indian Institute of Maize Research (IIMR), New Delhi has advertised a notification for the recruitment of Senior Research Fellow & Technical Assistant vacancies for the project titled “Genetic modifications to improve biological nitrogen fixation for augmenting nitrogen needs of cereals” on contractual basis. Eligible candidates may apply in prescribed application format on or before 25-06-2015. Other details like age, educational qualification, selection process, how to apply are given below…

Indian Institute of Maize Research Vacancy Details:
Total No. of Posts: 03
Name of the Posts :
1. Senior Research Fellow: 02 Posts
2. Technical Assistant: 01 Post

Age Limit: Candidates age should be 35 years for Senior Research Fellow, Minimum 21 years and maximum 45 years for Technical Assistant as on the closing date of the application. Age relaxation is 5 years to SC/ST and women candidates and 3 years to OBC candidates as per ICAR rules.

Educational Qualification: Candidates should possess Post graduate degree in Biotechnology/ Molecular Biology/ Bioinformatics/ Plant physiology for Senior Research fellow, Graduate degree in Agriculture/ Biotechnology/ any discipline of life sciences for Technical Assistant with relevant experience.

Selection Process: Candidates will be selected based on their performance in interview.

How to Apply: Eligible candidates can send their application in prescribed format along with bio-data to Dr. Pranjal Yadava, Principal Investigator, ICAR Indian Institute of Maize Research, Pusa Campus, New Delhi-110012 or mail to pranjal.yadava@gmail.com on or before 25-06-2015 & attend the interview along with application in the attached format at the time of interview, one passport size photograph, self attested copies of certificates for age, and qualifications, reprints of publications and ‘No Objection Certificate’, original documents on 01-07-2015. Venue details are mentioned below.

Important Dates:
Last Date for Receipt of Application: 25-06-2015
Date & Time of Interview : 01-07-2015.
Venue: IIMR, Pusa Campus, New Delhi

Eligibility : BE/B.Tech(CSE, ECE, IT)

Location : Pondicherry

Last Date : 26 Jun 2015

Hiring Process : Face to Face Interview
Pondicherry University - Job DetailsDate of posting:19 May 15

Senior Technical Assistant Job position in Pondicherry University on temporary basis

Project Title : "Bioinformatics National Certification (BINC) for certifying quality human resource in Bioinformatics"

Qualification : i) B.E/ B.Tech Computer Science/ Electronics & Communication Engineering/ Information Technology with 55% or equivalent marks. ii) One year Experience in relevant field in Government/ Public Sector or reputed Private Organizations. Desirable : Working experience in JSP and ASP/PHP

No. of Post : 01

Department : Biotechnology

Pay : Rs. 27,800/-

Age Limit : 30 Yrs
How to apply

Both above-mentioned posts are purely on temporary basis, extended by one year based on performance and will be terminated with the completion of BINC Program at Pondicherry University. Interested Candidates may send their application in the prescribed format with self-attested copies of all mark sheets and certificates to Dr. Basant K. Tiwary, Coordinator (BINC), Centre for Bioinformatics, Pondicherry University, Puducherry-605 014 before June 26, 2015.

Click Here http://www.pondiuni.edu.in/news/requirement-post-one-senior-technical-assistant-one-computer-assistant-–-dept-biotechnologygove

Starting 15th July 2015, the position relates to a project specifically for in silico drug docking, screening, design, optimisation and linkage with active chemists.

Experience in many docking softwares and operating systems is essential.

Additional experience in bioinformatics and computational biology tools will be useful.

Submit curriculum vitae to: sb.icgeb@gmail.com

Closing date: 5 July 2015

The OpenCPU JavaScript client library provides the most seamless integration of R and JavaScript available today.

OpenCPU uses standard R packaging to develop, ship and deploy web applications. Several open source example apps are available from Github.

Installing your own OpenCPU server is super easy and only takes a few minutes.

More at https://www.opencpu.org/