<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/22073?offset=1030 https://bioinformaticsonline.com/opportunity/view/33449/ra-bioinformatics-at-nipgr-india Tue, 06 Jun 2017 04:21:12 -0500 <![CDATA[RA Bioinformatics at NIPGR, INDIA]]> Applications are invited from suitable candidates for filling up the purely temporary positions of one Research Associate (RA) and one Junior Research Fellow (JRF) in the DBT- CPCFG Sub-Project 2B entitled “Understanding genetic and molecular basis of Ascochyta blight resistance in chickpea” under the supervision of Dr. Praveen Verma, Scientist, NIPGR.

Research Associate (one post): Emoluments as per DST/DBT norms & as sanctioned in the project

Qualification: Candidates having Ph.D. degree (awarded) in any discipline of Life Sciences with good publication record are eligible to apply. Candidates having prior experience in the area of Genetic and molecular analysis of plant/fungus for disease resistance/susceptibility of transcriptome and genome analysis will be preferred.

Junior Research Fellow (one post): Emoluments as per DST/DBT norms & as sanctioned in the project

Qualification: Candidates having M.Sc./M.Tech degree in any discipline of Life Sciences/Engineering (with minimum 55% marks) are eligible to apply. The Candidate having prior work experience in Molecular biology of plants/animal/fungus or Computational biology with experience in analysis of next-generation sequencing data, protein-protein interaction and system biology will be given preference.

The positions are purely temporary and are co-terminus with the project. The initial appointment will be for one year, which can be extended/curtailed on the basis of assessment of the candidate’s performance and discretion of the Competent Authority. The eligible candidates may further be shortlisted based on the qualification/experience depending on the total number of applications received. NIPGR reserves the right to select the candidate against the above post depending upon the qualification(s) and experience of the candidate. Reservation of post shall be as per Govt. of India norms.

Eligible candidates may apply by sending their complete application in the enclosed format.

The attested copies of the certificates and proof of research experience (if any) are to be attached with the hard copy of application. The applications should reach at the address given below within 15 days from the date of advertisement. The envelope must be superscribed by “Application for the Post of RA/JRF in the CPCFG Project” of Dr. Praveen Verma.

http://www.nipgr.res.in/files/careers/app_format_RA_JRF.docx

Contact Person address
Dr. Praveen Verma
Staff Scientist-VI & Principal Investigator ,
National Institute of Plant Genome Research ,(NIPGR)
Aruna Asaf Ali Marg, P.O. Box NO. 10531,
New Delhi - 110067

]]> https://bioinformaticsonline.com/blog/view/40413/50-iisc-raman-post-doctoral-fellowships Thu, 19 Dec 2019 09:59:12 -0600 https://bioinformaticsonline.com/blog/view/40413/50-iisc-raman-post-doctoral-fellowships <![CDATA[50 IISC Raman Post Doctoral Fellowships]]> IISC Bangalore has launched Raman Post-Doc Program. Apply For Raman Post Doctoral Fellowship at IISC Bangalore. Bioscience & Chemical Science researchers are eligible to apply for IISC Raman Post Doctoral Fellowships. 50 IISC Raman Post Doctoral Fellowships are available.

The Indian Institute of Science (IISc) has been recognised as an Institution of Eminence (IoE) by the Government of India. As a part of the IoE initiative, IISc has created the Raman Post-Doc Program, a highly selective Post-Doc program with 50 positions. The Institute invites applications for intensely motivated individuals with an established record of high quality research, for the positions of Raman Post-Docs. Overseas Citizens of India (OCI), Persons of Indian Origin (PIO), and foreign nationals are also eligible to apply.

The information below specifically pertains to applicants intending to work with Faculty in the Biological Sciences Division.

This is a rolling advertisement and candidates can apply any time during the year. The applications will be reviewed every four months around the following dates: April 30, August 31, December 31.

Further details about the various departments and interdisciplinary centres, faculty profiles, academic programs, and areas of research are available at the departmental websites

and also at www.iisc.ac.in

Note: Candidates should preferably be less than 32 years of age at the time of applying.

]]> Shruti Paniwala https://bioinformaticsonline.com/researchlabs/view/44666/chirag-lab-at-iisc Wed, 18 Sep 2024 01:44:37 -0500 <![CDATA[Chirag Lab at IISc]]> My research lab develops efficient computational algorithms for data-intensive problems in biology. In response to challenging computational problems, we design solutions that are provably-good, scalable in practice, and useful for life scientists to draw new insights from high-throughput data.

Research Interests
• Bioinformatics / computational biology
• Algorithms for genome sequencing
• Applied graph / combinatorial / discrete algorithms
• Algorithms design and analysis
• High performance computing

More at https://at-cg.github.io/

]]> https://bioinformaticsonline.com/bookmarks/view/36019/ewas-epigenome-wide-association-study-software-20 Wed, 21 Mar 2018 18:14:00 -0500 https://bioinformaticsonline.com/bookmarks/view/36019/ewas-epigenome-wide-association-study-software-20 <![CDATA[EWAS: epigenome-wide association study software 2.0]]> EWAS2.0 can analyze EWAS data and identify the association between epigenetic variations and disease/phenotype. On the basis of EWAS1.0, we have added more distinctive features. EWAS2.0 software was developed based on our “population epigenetic framework” and can perform: (1) epigenome-wide single marker association study; (2) epigenome-wide methylation haplotype (meplotype) association study; and (3) epigenome-wide association meta-analysis.

Address of the bookmark: http://www.bioapp.org/ewas/

]]> Jit https://bioinformaticsonline.com/pages/view/1130/bioinformatics-courses-around-the-world Fri, 19 Jul 2013 02:43:46 -0500 https://bioinformaticsonline.com/pages/view/1130/bioinformatics-courses-around-the-world <![CDATA[Bioinformatics Courses Around the World]]> Bioinformatics Courses around the world


Here is the list Bioinformatics courses offered around the world. Reasons for constructing this page are:

  1. To show the extent of growth of this new discipline
  2. To provide a resource for students, and academics and
  3. To access notes on the subject to allow some brief comparisons between courses.

The graduate courses outlined in the table mainly exist as a coursework component of an MSc or PhD degree. Of course, many institutions will also have pure research programs in Bioinformatics at the Hons, MSc, or PhD level and will not have a 'coursework component'. These research programs may not always reflect the main research program of the institution since the research depends upon the interests of a particular individual or small team within that institution. It is difficult to track these individual research programs. Consequently, we have not included all institutions with a bioinformatics research project. Bioinformatics is an interdisciplinary subject and this is reflected in the fact that the courses are offered by departments or schools as diverse as: computer science, biochemistry, molecular biology, microbiology, engineering, and mathematics. Similarly, bioinformatics may also be known by other names such as: computational biology, biocomputing, molecular informatics, computational molecular biology, biological information theory, molecular phylogenetics, and molecular bioinformatics.

Bioinformatics University Courses

US

Canada

Europe

UK

Sweden

Norway

Germany

Finland

France

Denmark

Belgium

Switzerland

Austria

Israel

New Zealand

Australia

Asia & South Pacific

Africa


Others:


Advanced Courses and Papers

 

If your university is not there in the list, please let me know info_at_bioinformaticsonline.com

]]> Jitendra Narayan https://bioinformaticsonline.com/blog/view/22454/one-page-r-survival-guide Thu, 28 May 2015 21:10:12 -0500 https://bioinformaticsonline.com/blog/view/22454/one-page-r-survival-guide <![CDATA[One page R survival guide !!]]> There any many of the documents have been developed and tested by scientist around the world. I found this one really useful. The data used is available for download as data.zip.

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 - *
]]> Rahul Nayak https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer Fri, 18 Jul 2014 05:42:09 -0500 https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer <![CDATA[Breaking chromosomes to study cancer !!!]]> Chromosomes are present in every cell of our body and they contain the information the body needs to develop and function properly. This information is carried in genes that are arranged along the chromosomes. There are usually 46 chromosomes in every cell. These chromosomes come in pairs, one from our mother and one from our father. The chromosomes can be sorted into 23 pairs by looking at them down a microscope.

Most people who have a balanced translocation have the right amount of chromosome material but it has been rearranged in some way. This may happen if two chromosomes swap pieces (a reciprocal translocation). In other cases two whole chromosomes may become stuck together (a Robertsonian translocation). This page describes what happens when someone has a reciprocal translocation.

Reciprocal chromosomal translocations occur following double-strand breaks (DSBs) in DNA when a section of one chromosome is exchanged with that of another, non-homologous chromosome. These exchanges may produce a dysfunctional fusion gene that disrupts cell growth and survival pathways, such as the translocations seen in leukemia and childhood sarcomas.

Chromosomal translocations have been well studied in cancer cell lines which are associated with two types of cancer, acute myeloid leukemia and Ewing's sarcoma, but determining how they contribute to cancer development is complicated by additional mutations and altered gene expression profiles in these cultured cells. Now, Juan Carlos Ramirez, head of the Viral Vector Facility at the Fundacion Centro Nacional de Investigaciones Cardiovasculares (CNIC) and his colleagues Raul Torres at CNIC and Sandra Rodriguez-Peralez at the Spanish National Cancer Center (CNIO) in Madrid, Spain have used a new genome editing tool, CRISPR-Cas9, to induce chromosomal translocations for the first time in a human cell line and in primary cells. The study's authors conclude by stating that the use of this technology will allow for the clarification of how and why chromosomal translocation occurs, which without doubt will allow new anti-cancer therapeutic strategies to be tackled.

Using RNA-Guided Endonuclease (RGEN) technology or CRISPR/Cas9 genome engineering technology, CNIO and CNIC researchers have shown that it is possible to obtain such chromosomal translocations. The CRISPR-Cas9 system is extremely simple to introduce a cut at the desired locus, easier to design, and cheaper than many other systems. Using the CRISPR-Cas9 system, Ramirez and his colleagues reproduced the translocations observed in Ewing’s Sarcoma (ES) and Acute Myeloid Leukemia (AML) patient cell lines in HEK293 cells and also generated the ES translocation in human mesenchymal stem cells and the AML translocation in umbilical cord blood cells.

By focusing on chromosomal translocation without the confounding characteristics of established cell lines, these new cells lines should help answer the fundamental question of what causes a cell to become cancerous. Ramirez and his team now look forward to modeling other chromosome translocations in a variety of cell types.

Reference:

http://en.wikipedia.org/wiki/Chromosomal_translocation

http://www.nature.com/ncomms/2014/140603/ncomms4964/abs/ncomms4964.html

]]> Jit https://bioinformaticsonline.com/opportunity/view/17504/postdoc-scientist-bioinformatics-at-ccmb Fri, 26 Sep 2014 19:58:41 -0500 <![CDATA[PostDoc Scientist Bioinformatics at CCMB]]> 1. Project Assistant/Junior Research Fellow/ Project Fellow [PA_JRF_PF]

a) M.Sc/or equivalent in biological sciences/related areas [Position Code: PA_JRF_PF_a]
b) B.E/B.Tech/ M.Sc in biotechnology/bioinformatics/computer science/Chemistry/Physics or MCA [Position Code: PA_JRF_PF_b]
c) M.Sc/or equivalent in wildlife sciences/ecology/environmental sciences or MBBS/BVSc/MVSc. [Position Code: PA_JRF_PF_c]

(Candidates with result awaited are NOT eligible to apply)

Upper Age limit 28years

Rs.12000 / Rs.16000 (as sanctioned by the funding agency)

2. Post Doctoral Fellow/Research Associate in multiple research areas [PDF_RA]

Ph.D. (submitted/awarded) in any branch of biological Sciences. Candidates with Ph.D. in other sciences are also encouraged to apply.

Experience in molecular biology, biochemistry, structural biology, cell biology, infectious disease, conservation genetics, veterinary science, reproductive biology, and molecular diagnostics is desired but not mandatory.

[Position Code: PDF_RA]

UpperAge limit 35years

Rs. 22000- 26000 (as sanctioned by the funding agency)

3. Post Doctoral Scientist Fellow [PDSF]

Ph.D in any of the following areas: bioinformatics, next generation sequencing, high throughput data analysis, proteomics, bio-statistics, computer science, information technology, computer hardware and networking/clustering, parallel processing.
[Position Code: PDSF]

Upper Age limit 40 years

Rs. 40000 consolidated (as sanctioned by the funding agency)

Download Application: Last date for apply online: 09th Oct 2014

Advertisement: www.ccmb.res.in//index.php?view=notifications&mid=0&id=71&nid=38

Apply online http://www.ccmb.res.in/positions/temp_notif/online_form.html

More at http://www.ccmb.res.in//index.php?view=notifications&mid=0&id=71&nid=38

]]> https://bioinformaticsonline.com/researchlabs/view/17652/arraygen-bioinformatics-genomics-group Sun, 28 Sep 2014 14:09:55 -0500 <![CDATA[ArrayGen Bioinformatics Genomics Group]]> ArrayGen is a global bioinformatics company which is a one stop solution for microarray designing and genomics data analysis. Our novel Array Design Approach Strategy (ADAS) aims to condense the time lag between demands of scientific community and manufacture industry, thereby expediting research processes.

ArrayGen specializes in Genomics data analysis and research, as we believe in the level of precision, predictability, benchmark-ability, and data analysis capability of genomics data over other forms of biological data. ArrayGen constantly strives to develop new solutions, and plug the existing gaps in the technological advancement of the field.

More http://www.arraygen.com/

]]> https://bioinformaticsonline.com/opportunity/view/17873/postdoc-position-in-protein-annotation-and-machine-learning-paris-france Sat, 04 Oct 2014 08:10:45 -0500 <![CDATA[Postdoc position in protein annotation and machine learning - Paris, France]]> We are interested in finding an excellent postdoc with interests in protein functional annotation, machine learning and computer grids. The position is open for 3.5 years at the Université Pierre et Marie Curie, in the heart of Paris.

Research topic: Protein function annotation, multiple probabilistic models, domain architecture, machine learning, combinatorial optimization, computer grid.

This project is run on the Laboratoire de Biologie Computationnelle et Quantitative UMR7238 CNRS-UPMC – Analytical Genomics team, headed by A.Carbone. It is co-advised with Pierre-Henri Wuillemin, Laboratoire d’Informatique de Paris 6 – Equipe DECISION.

The postdoc will be payed under a contract of Ingénieur de Recherche lasting 3.5 years and it is available from September 1st, 2014.

Group Web Page: http://www.lcqb.upmc.fr/AnalGenom/home.html

Ref. E-Mail: Alessandra Carbone alessandra.carbone@lip6.fr

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