Address of the bookmark: https://github.com/lh3/ropebwt2

Lab page: http://www.oeb.harvard.edu/faculty/edwards/index.html

For the original version of the pipeline and to reproduce the Hs2-HiC and the AaegL4 genomes reported in (Dudchenko et al., Science, 2017) see the original commit.

For the detailed description of the merge section see https://github.com/theaidenlab/AGWG-merge.

Address of the bookmark: https://github.com/theaidenlab/3d-dna

Last Date for Submitting Application: 25th November 2013

1. Senior Scientist: (01 position)
Pay Scale: Rs.40, 000/-
Qualifications: PhD/ Post Doctoral with Experience in CADD

2. Junior Scientist (10 positions)
Pay Scale: Rs. 22,000/-
Qualifications: MPhil / Masters Degree in Bioinformatics / Computational Biology / CADD / Ayurveda

3. Technical Assistant (01+01 positions)
Pay Scale: Rs.12,000/-
Qualifications: 1. BSc Computer Science/ MCA
Qualifications: 2. MSc Biotechnology / MSc Microbiology

4. Programmer (01 position)
Pay Scale: Rs.20,000/-
Qualifications: MSc Computer Science/ MCA / B Tech (Experience in MATLAB, C, C++) Industrial experience is desirable

5. Teaching Assistant (03 positions)
Pay Scale: Rs.10,000/-
Qualifications: MSc in Bioinformatics

6. Administration Assistant (02 positions)
Pay Scale: Rs.8,000/-
Qualifications: Degree + PGDCA

The Selection process comprises of written test and interview. Positions are purely temporary (initially for the period of one year) and co-terminus with the project. For more details mail to: cbi.uok [at] gmail.com

More detail @ https://sites.google.com/site/centreforbioinformatics/announcements/applicationsinvitedforapplicationforai-caddproject

During the first phase of ENCODE, published in 2007, microarray-based technologies were used to detect regions associated with transcription factors, certain histone modifications and open chromatin within a pre-specified 1% of the human genome.

ENCODE’s second phase saw a switch to sequencing-based technologies, the addition of new assay types and the analysis of functional elements genome-wide, described in a collection of research articles in 2012.

The Encyclopedia paper of ENCODE 3, published in Nature, gives an overview of the various assays that were performed in human and mouse cell lines and tissues and describes a Registry of human and mouse candidate cis-regulatory elements (cCREs).

More at https://www.nature.com/immersive/d42859-020-00027-2/index.html

WALK-IN-INTERVIEW

The following vacancies shall be filled purely on adhoc basis under Non-Institutional adhoc project “Bioinformatics in ICMR Institutes” funded by Indian Council of Medical Research at Vector Control Research Centre, Puducherry, to be renewed annually and filled through Walk-in-Interview as indicated below. Candidates who wish to appear for the Walk-in-Interview can download the application format given in the website of Vector Control Research Centre (www.vcrc.res.in). Duly filled in application along with attested copies of certificate should be submitted at time of interview.

Date & Time : 05.12.2013 at 9.00 AM – Scientist-C (Non-Medical)

05.12.2013 at 1.30 PM – Scientist-B (Non-Medical)
06.12.2013 at 9.00 AM – Technical Assistant (Research Assistant)
06.12.2013 at 1.30 PM – Multi Tasking Staff (General)

Place : Vector Control Research Centre, Puducherry

Project entitled : Biomedical Informatics Centres of ICMR

1. Scientist - C (Non-Medical) Number of post – ONE

Essential qualification

B.E./ B. Tech. Degree in Bioinformatics/ Computational Biology from a recognized University with 6 years experience in the relevant field OR

First class Master’s Degree and Ph.D. Degree in Bioinformatics/ Computational Biology from a recognized University OR

First class Master’s Degree in Bioinformatics/ Computational Biology from a recognized University with 4 years R & D experience in the related subjects as mentioned above OR

Second class Master’s Degree + Ph.D. in Bioinformatics/ Computational Biology from a recognized University with 4 years research experience in bio-medical subjects

Age: Not exceeding 40 years Consolidated Salary – Rs.39,960/- p.m. + HRA as
admissible

Desirable qualification (i) Post-doctorate in Bioinformatics/ Computational Biology or M.E. / M. Tech. Degree in Bioinformatics/ Computational Biology from a recognized University for candidates with First Class relevant degree.

(ii) Additional post-doctoral research / teaching experience in Bioinformatics/Computational Biology in recognized Institute(s).

(iii) Knowledge of computer applications or data management

Job requirements i) To apply Bioinformatics / Computational Biology tools in understanding interactions between vectors and parasites/ pathogens and target based development of drug / insecticides.

ii) To assist the investigators to carry out genomic studies on parasites/pathogens/vectors of vector borne diseases

Advertisement: http://vcrc.res.in/Adv_Bio13.pdf

Searcg link https://metagraph.ethz.ch/search 

Pre-print https://www.biorxiv.org/content/10.1101/2020.10.01.322164v4 

Address of the bookmark: https://metagraph.ethz.ch/

The Law group provides internal Institute-specific development, training and support roles for data manipulation, sequence analysis and any other aspect of the analysis of biological data using computer systems. Additionally we provide databases and applications supporting the international animal science community, particularly tools and resources for genome mapping.

Head: Andy Law. Members: John Bowman (animal facility database applications), Zen Lu (bioinformatics support), Trevor Paterson (software development)

More @ http://www.bioinformatics.ed.ac.uk/groups/roslin-bioinformatics-group

ftp://ftp.ncbi.nih.gov/genomes/

https://hgdownload.soe.ucsc.edu/downloads.html

Address of the bookmark: ftp://ftp.ncbi.nih.gov/genomes/

Novel diagnostic platform for detection of Osteoarthritis

I invite applications from highly motivated individuals to join my laboratory as a PhD student in Systems Biology at the University of Calgary McCaig Institute for Bone and Joint Health. This project is aimed at characterizing the networks of physical (protein-protein) interactions underlying inflammatory processes in patients with Osteoarthritis and how this differs from patients with Rheumatoid Arthritis and normal individuals. This work will eventually lead to the development of a novel diagnostic platform for the non-invasive and accurate detection of early Osteoarthritis. The selected candidate will use state-of-the-art computational methodologies to systematically analyze proteomic data, and develop /implement new algorithms to identify protein and functional interaction networks from high throughput experimental data. The individual will also benefit by working closely with experts at the UofC and UofA through an AIHS Alberta Osteoarthritis Team Grant which includes experts from all pillars of health research. The candidate will also be supported to attend bioinformatics workshops and conferences to advance and disseminate their research.
Qualifications: The ideal candidate will have a Master’s degree in Computational Biology, Bioinformatics, or equivalent with strong background knowledge of the Biological Sciences, Biochemistry, and Microbiology. The individual should additionally have experience in handling high-throughput data sets as well as programming skills. The candidate will be registered as a PhD student in Dr. Krawetz’s laboratory, located in the new state-of-the-art Health Research Innovation Centre at the UofC. The individual will have strong verbal and written skills and the ability to work efficiently in a team environment.

In addition to the outstanding research opportunities available in this setting, students also enjoy the many cultural and sporting amenities provided in the city of Calgary, and can take advantage of the unparalleled skiing and hiking in the Rocky Mountains that are less than an hour away.

Candidates must be academically competitive and will be expected to apply for external funding. The stipend is $25,000/yr. For outstanding PhD students, internal top-up award opportunities are available on a competitive basis. If interested in joining the lab, please contact Dr. Krawetz directly at rkrawetz@ucalgary.ca and provide the following information:

- Short cover letter explaining your interest in the lab
- Resume
- Scanned copy of transcript or listing of course grades
- Names and contact information for two individuals who will be willing to provide letters of reference