<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/926?offset=960 https://bioinformaticsonline.com/opportunity/view/9675/application-scientist-in-strand-lifesciences-bangalore Mon, 07 Apr 2014 08:17:32 -0500 <![CDATA[Application Scientist in Strand LifeSciences Bangalore]]> Job Description
We are looking for a motivated application scientist to help evaluate, compare, and develop next generation sequencing (NGS) data analysis methods. The successful candidate should be able to quickly understand the state-of-art computational biology techniques, prototype them and perform benchmarking studies. The candidate must also be comfortable working with people from different disciplines and be able to present data analysis results in a clear and effective manner. The candidate is also expected to interact with customers as needed, write technical reports and publish new methods and/or data analysis findings in public forums.

Candidate Requirements:
A PhD in computer science, computational biology, Bioinformatics, or a related field, along with sufficient programming skills for prototyping. Experience with next generation sequencing data analysis is required. Candidates with MS degree but with relevant work experience can also be considered.

To Apply
To apply, please send your updated CV and cover letter to Dr. Rohit Gupta (rohit@strandls.com).

Source: http://www.strandls.com/application-scientist

]]> https://bioinformaticsonline.com/opportunity/view/8384/post-doc-in-genomics-of-fungi Tue, 18 Feb 2014 13:47:08 -0600 <![CDATA[Post-doc in Genomics of Fungi]]> Post-doc in Genomics of Fungi

Fungi are of central importance for the global carbon cycle because of
their role in the degredation of complex organic matter such as plant
material. Fungi also represent one of the last frontiers of
biodiversity, as their taxonomic diversity and metabolic potential
remain poorly understood. This is particularly true for those fungi that
are abundant in freshwaters.

\"MycoLink\" (Linking aquatic mycodiversity to ecosystem function) is an interdisciplinary project integrating the expertise of 4 Leibniz Institutes: IGB, ZALF, DSMZ, the Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), the Leibniz Centre for Agricultural Landscape Research (ZALF), and the Leibniz-Institute of Zoo- and Wildlife Research in Berlin (IZW). We are seeking to recruit outstanding young scientists to establish an innovative research program, and currently invite applications for:

PostDoc will focus on global biodiversity and evolutionary genomics of freshwater fungi, using second- and third-generation sequencing and bioinformatics to analyse natural populations and experimental cultures. For further information, contact Michael T. Monaghan (monaghan@igb-berlin.de) (http://monaghanlab.org).

PostDoc will focus on the ecological and functional role of aquatic fungi by combining state-of-the-art biochemical analyses with modeling in experimental and natural ecosystems. For further information, contact Hans-Peter Grossart & Katrin Premke (hgrossart@igb-berlin.de; premke@igb-berlin.de)

Applicants must hold a PhD in a relevant field. Positions are available for up to three years. Salary is according to the German TvD. Positions will be based at IGB Berlin, IGB Neuglobsow, and at the Berlin Centre for Genomics in Biodiversity Research. The institutes of the Leibniz Association strive to increase the proportion of female scientists. Therefore, female candidates are specifically encouraged to apply. Disabled applicants with identical technical and personal qualification will be preferentially selected.

Please submit a curriculum vitae (including publication list), a brief statement of motivation and research interests, and the names and contact information of two referees. Please send all documents as a single pdf file to monaghan@igb-berlin.de.

Review of the applications will start on 21 February 2014 and continue until the positions are filled. Interviews for shortlisted applicants will take place in March.

Biodiversity, Ecology, and Genomics of Aquatic Fungi
Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany

Deadline for applications : unknown.

]]> https://bioinformaticsonline.com/opportunity/view/18187/bioinformatician-for-a-lab-at-the-weizmann-institute-of-science-israel Mon, 13 Oct 2014 04:38:28 -0500 <![CDATA[Bioinformatician for a lab at the Weizmann Institute of Science, Israel]]> We are looking for enthusiastic, motivated and talented people, at all career stages (MSc, PhD, postdoctoral fellows), to join the lab! Bioinformatics in particular are invited to apply.
Our lab focuses on understanding molecular mechanisms of protein modifications in cancer and immune regulation.
We employ advanced high-throughput proteomic and genomic methods, cell biology, biochemistry, immunology, in-vivo models as well as systems biology and bioinformatics to study the biology of PTMs in health and disease. Read more here: http://yifatmerbl.com.

]]> https://bioinformaticsonline.com/opportunity/view/8122/internships-indian-institute-of-science Sun, 02 Feb 2014 03:05:58 -0600 <![CDATA[Internships @ Indian Institute of Science]]> Internships available for Bachelors and Masters students

Each node will host student interns interested in pursuing a research career in mathematical or computational biology at institutions located in its region.

Eligibility: Bachelors (3rd or 4th year) and Masters students

Average duration: 3 months (could be more in certain cases). These internships can be availed at any time during 2014 subject to consent from the faculty mentor.

Fellowship amount: Rs. 10,000 per month. In addition, outstation interns can receive up to Rs. 5000 per month for accommodation and Rs. 3000 for travel from and to their home place.

Application procedure: Apply online at http://nnmcb.appzone.co.in/

Deadline: February 10, 2014

Contact Information:

National Network for Mathematical and Computational Biology

Department of Mathematics

Indian Institute of Science

Bangalore 560 012

Tel: 080-2293 2893

Email: nnmcb@math.iisc.ernet.in

]]> https://bioinformaticsonline.com/researchlabs/view/22761/pit-bioinformatics-group Tue, 16 Jun 2015 14:34:26 -0500 <![CDATA[PIT Bioinformatics Group]]> PIT Bioinformatics Group solves problems in bioinformatics and computational biology. Recent developed online tools:

- Budapest Reference Connectome: View a parametrizable connectome (brain graph).
- AmphoraNet: The webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data.
- AmphoraVizu: Chart visualization for metagenomics analysis tools AMPHORA2 and AmphoraNet.
- SCARF: Free online association rule mining tool.

More at: http://pitgroup.org

]]> https://bioinformaticsonline.com/bookmarks/view/23498/algorithms-for-dna-sequencing-course-offered-each-month Sun, 26 Jul 2015 01:57:02 -0500 https://bioinformaticsonline.com/bookmarks/view/23498/algorithms-for-dna-sequencing-course-offered-each-month <![CDATA[Algorithms for DNA Sequencing (course offered each month)]]> "We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets."

Source : https://www.coursera.org/course/ads1

 

Address of the bookmark: https://www.coursera.org/course/ads1

]]> Rahul Agarwal https://bioinformaticsonline.com/opportunity/view/8520/rcb-gurgaon-bioinformatics-rapa-openings Thu, 27 Feb 2014 08:42:15 -0600 <![CDATA[RCB Gurgaon Bioinformatics RA/PA Openings]]> Advt. No.1/2014

Recruitment for Research Associate and Project Assistant positions

Regional Centre for Biotechnology (RCB) is an autonomous academic institution established by the Department of Biotechnology, Govt. of India with regional and global partnerships synergizing with the programmes of UNESCO as a Category II Centre. The primary focus of RCB is to provide world class education, training and conduct innovative research at the interface of multiple disciplines to create high quality human resource in disciplinary and interdisciplinary areas of biotechnology in a globally competitive research milieu.

Research Associate (02 Position)

Consolidated emoluments Rs.22000/- + 30% H.R.A. p.m.

Essential: Ph.D. in Natural Sciences, minimum 60% marks in all qualifying exams and below 35 years of age.

Desirable: Prior experience at the PhD level in Biochemistry, Bioinformatics and Proteomics with a strong motivation for a career in research is highly desirable.

Strong PhD level training with proteins chemistry, protein purification and statistical analysis of proteomics or genomics dataset will be preferred. Either/ both qualifications should be substantiated by published papers.

Inter-Institutional Program for Maternal, Neonatal and Infant Sciences: A translational approach to studying preterm birth.

Principal Investigator: Dr. Dinakar M. Salunke

Applicants may apply along with the requisite documents (attested copies) pertaining to proof of date of birth, academic/professional qualifications, experience (if any), in the prescribed format available on our websites: www.rcb.res.in and www.rcb.ac.in. Applications should be sent to the Registrar, Regional Centre for Biotechnology, 180 Udyog Vihar Phase 1, Gurgaon-122016, Haryana, India, through Registered Post on or before Feb 28, 2014. A soft copy of the application should be sent by email to registrar@rcb.res.in. Incomplete applications or applications received after Feb 28, 2014 will not be entertained.

More at https://www.rcb.res.in/Advt-1._for_websites_PTB-revised.pdf

]]> https://bioinformaticsonline.com/opportunity/view/35422/postdoc-at-jaypee-institute-of-information-technology-jiit-noida-department-of-biotechnology Fri, 02 Feb 2018 11:13:25 -0600 <![CDATA[PostDoc at Jaypee Institute of Information Technology (JIIT), Noida Department of Biotechnology]]> Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, & laptops for research purpose. Currently, there are several researchers (JRFs, B. Techs, M. Tech and PhDs) working on several challenging bioinformatics projects. In addition, Dr. Rawal has collaborations with reputed national and international research teams.

Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Post Doctoral Fellow/Research Scientist (One Position) for the following time-bound sponsored projects as per the details given below:

PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.

Essential Qualification(s) for Post Doctoral Fellow/ Research Scientist:

We are seeking an individual with expertise in analyzing literature information, text mining, network biology, data integration, and modeling. Competitive candidates would also have programming experience in scripting languages with perl, C, C++, and R programming. This position requires a PhD in Computational Biology, Bioinformatics, Biostatistics, Physics or related fields, and evidence of scientific productivity through publications in international journals. Motivation to gain an in-depth understanding of biological phenomena is required. Applications should include a current CV and names of at least three references. Application packages and inquiries regarding this position can be sent to Dr. Kamal Rawal (bioinfocvatgmaildotcom and kamaldotrawalatgmaildotcom). Screening of applications will commence immediately and the position will remain open until filled. Candidates having master’s degree with extensive experience in IT industry or research can also be considered for this post.

Salary: Rs 50000 per month.

Duration: 2 years or upto the project duration.

Number of position: 1

Candidate may also fill the following form:

https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform

http://tinyurl.com/bioinfocv2017

]]> https://bioinformaticsonline.com/news/view/8504/update-genome-workbench-2715-released Wed, 26 Feb 2014 16:12:17 -0600 https://bioinformaticsonline.com/news/view/8504/update-genome-workbench-2715-released <![CDATA[Update Genome Workbench 2.7.15 released]]> NCBI Genome Workbench is an integrated application for viewing and analyzing sequence data. With Genome Workbench, you can view data in publically available sequence databases at NCBI, and mix this data with your own private data.

Introductory screen shot

Genome Workbench can display sequence data in many ways, including graphical sequence views, various alignment views, phylogenetic tree views, and tabular views of data. It can also align your private data to data in public databases, display your data in the context of public data, and retrieve BLAST results.

Genome Workbench is built on the NCBI C++ ToolKit and uses cross-platform APIs for graphics. It runs on your local machine, and is available for Windows 2000/XP, Linux, MacOS X, and various flavors of Unix.

NCBI Genome Workbench is an integrated application for viewing and analyzing sequence data. Genome Workbench was developed entirely in-house at NCBI and makes use of the NCBI C++ ToolKit. The C++ ToolKit provides a convenient and flexible cross-platform API for managing system internals, database connections, network sockets, and the NCBI data model. In addition, the C++ ToolKit provides the Object Manager, which abstracts handling of sequences and sequence-related objects.

 New Features in Genome Workbench 2.7.15

  • Multiple Alignment View: implemented adaptive feature display when zooming in
  • Active Objects Inspector replaces Selection Inspector. New View should offer an improved selection context examination. See Using Active Objects Inspector tutorial for more details.
  • Binary packages for Linux OpenSUSE 13.1 are now available


Bug Fixes and Improvements in Genome Workbench 2.7.15

  • Fixed major issue with OpenGL overlay/scrolling. Could cause crashes or view scrolling irregularities
  • Multiple Pane View: fixed crash on loading BLAST results
  • Graphical Sequence View: fixed crash on zooming in and out, related to SNP track
  • Graphical Sequence View: fixed Go To Position dialog to give better diagnostics in case of a user error
  • Graphical Sequence View: PDF export fixed rendering of Markers with commas in the name
  • Text View / Flat File: fixed Mac OS rendering issues
  • Text View / Flat File: performance optimization, extended capabilities of real-time rendering of molecules to tens of thousands
  • File Import: optimization improvement to speed up load of files containing multiple project items
  • File Import: remapping stage now shows accession.version and description of molecules, instead of plain GI numbers
  • Mac OS: improved tooltips for toolbar buttons
  • Phylogenetic Tree Builder Tool: improved diagnostics of errors
  • Multiple Alignment View: optimizations to avoid main GUI freezes
  • Open Dialog: removed duplicate elements in table of genomes (load Genome)
  • PDF export: fixed issue with XREF table errors
  • Tree View: fixed issues with showing Force Layout progress on Mac OS
  • Tree View: PDF export fixed issues for showing labels of collapsed nodes
  • Tree View: added an option to stop layout
  • Tree View: broadcasting mechanism fixed not to accumulate selected nodes

Reference:

NCBI news

http://www.ncbi.nlm.nih.gov/tools/gbench/

]]> Surabhi Chaudhary https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist Fri, 02 Mar 2018 06:54:15 -0600 https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist <![CDATA[Python learning resources for bioinformatics and computational biologist !]]> Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries.

Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to build productivity tools, games, and desktop apps, so there are plenty of resources to help you learn how to do those as well.

For pros and cons visit http://www.bestprogramminglanguagefor.me/why-learn-python and http://bioinformaticsonline.com/discussion/view/459/python-vs-perl

More resources at https://github.com/CodementorIO/Python-Learning-Resources

Following are the list of useful python programming resources:

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