To install the stable version: pip3 install --user tinycov

To install the development version:

git clone https://github.com/cmdoret/tinycov.git
cd tinycov
pip install .

Address of the bookmark: https://github.com/cmdoret/tinycov

Requirements
- 3-5 years of relevant bioinformatics experience such as public data mining,
processing, analysing and visualising omics data, etc.
- Ph.D., Masters or Bachelors in Bioinformatics, Biotechnology,
Computational Biology, or related field.
- Understanding of molecular biology and biochemistry.
- Comfort and experience with biological research and data.
- Proficient in a programming language used for bioinformatics such as R or
python.
- Excellent communication skills.
- Ability to summarise and simplify complex analyses for a non-technical
audience.
- Strong analytical skills, curiosity and a knack to solve difficult problems.
- Work well in multi-disciplinary teams with people of vastly different
backgrounds.
- Demonstrated success in collaboration and independent work.

More at https://angel.co/elucidata/jobs/460104-senior-bioinformatics-scientist

Also, Bioinformatics Industrial Training Program (BIITP) is merged with the HRD Biotechnology Industrial Training Programme (BITP).

While this comes as a surprise for a lot of participants. We believe this is a good attempt to unify and create a national benchmark for talent. And we appreciate this endeavor from Department of biotechnology.

However, such last-minute announcements can create confusion. Thus candidates are advised to go through the complete notification DBT-BET JRF 2019 via the link below.If you have any kind of doubts, you must contact DBT JRF or Biotecnika for any kind of help & assistance.

Attention:-Bioinformatics Programs (BINC and BIITP)

1. Bioinformatics National Certification (BINC) has been merged with DBT-Junior
Research Fellow (BET Exam)

2. Bioinformatics Industrial Training Program (BIITP) is merged with HRDBiotechnology Industrial Training Programme (BITP).

Students of Bioinformatics, who are interested to apply for Fellowship or Industrial
Training may keep track of the advertisement of DBT-JRF (BET Exam) and BITP
of DBT.

 More at http://www.bcil.nic.in/files/Attention_Bioinformatics_Programs_(BINC_and_BIITP).pdf

Reference: http://www.unitedformedicalresearch.com/wp-content/uploads/2013/06/The-Impact-of-Genomics-on-the-US-Economy.pdf

No previous programming knowledge is assumed. By following this tutorial you will learn the fundamental concepts of programming by using scripting languages: variables, types, arrays, cycles, conditional statements, functions, objects, regular expressions, files reading and manipulation et-cetera.

Address of the bookmark: http://www.cellbiol.com/bioinformatics_web_development/introduction/

1. Learn and get updated

Some of the bad biological programmers only learn new technical or non-technical things when it’s absolutely necessary. The good biological programmers learn new technical skills proactively. But great biological programmers not only learn new technical skills on their own but also learn non-technical skills, and have an open mind to sources of knowledge that others may shut out.

In other concrete term, the bad biological programmer learn Perl's regular expression when they started a project on comparative genomics; the good biological programmer learned it a year before because it looked interesting; and the great biological programmer also read about the BioPerl packages, genomics, DNA string, genomic theories, or some similar course of study so that they could understand the results and explain it biologically.

2. Not a merely coder!!!

I often encountered with biological programmer who call themself a hard-core computer programmer and avoid biology. I can almost guarantee that if you are one of them then you are not doing research but merely writing "dry" codes.

According to my supervisor most of the computational biologist, don't know what they are doing biologically. Even they struggle to explain their own programs output and results. Therefore, It is highly advisable to learn basic of biology which can assist you to explain the result and understand your discovery. Always remember you are a researcher not a coder.

3. Be Social with biologist

The computational biologist spends most of the time in from of computers, writing codes. They always think their job is to produce working codes, not technical research perfections. But, they are completely wrong. You should not forget that apart from your computational skills you also need some biologist, other than your supervisor, to explain and make you understand the complex biological mechanism.

I highly recommend your to interact with biotech researchers and learn how do they explain their one graph (which they generally produce after one year of work) biologically. Remember, the origin of your research project is complex biological phenomenon, which is more complex than that of your limited programming rules.

4. Do not search, research for answers

Researching for answers means more than typing several keywords into a search engine or posting a question at Stack Overflow or the BioStars forums. I have entered problems into search engines that generate no results, and every question I posted on Stack Overflow or the BioStars forums never got anything resembling an answer, yet I solved the issues and moved on. I’m not a magician — I just know how to find answers or discover root causes.

Many problems are situational, and if you depend on search engines and forums, you can waste a lot of time going down a rabbit hole and possibly never getting a solution. Learn to perform root cause analysis, learn enough about the underlying system to look for other clues and solutions, and learn to take a long distance view of an issue before deep diving into it.

5. Love and defend your research

You cannot rise to the top in this research profession without loving your work. There are some very good “it’s just a job” biological programmers (I’ve been one at times), but if that is your outlook, you won’t be willing to do whatever it takes to succeed. This idea gets a lot of folks in a huff, because they feel it is a personal insult. “I’m a good programmer, but I have other priorities and can’t make work my life.” I understand completely; I have other priorities too. As much as I hate to say it, when I am passionate about my work, I am willing (though not eager) to abandon my other priorities to finish the job. It is not an insult to say that if you aren’t willing to pull out all the stops you can’t be the best, it is a fact.

You must be passionate about more than programming — you must also be excited about your research, the tools and technology you are using, and so on. I have seen very good and even great biological programmers operating at mediocre levels because something was not a good fit, such as they hated the project or were using a technology they disliked. Therefore, like your research project and get excited about your discoveries. You have not only to discover but also defend your finding with scientific words.

Thanks to all of you for reading.

More at http://clark.genetics.utah.edu/

MEME Suite software development; gene expression; mathematical modelling; gene regulation and transcription

Specialization:
Pattern recognition and modelling in computational biology

Link @ http://www.imb.uq.edu.au/tim-bailey

Link @ http://www.newcastle.edu.au/research-and-innovation/centre/cibm/about-us

The position is a full-time position for a fixed term of two years. The salary depends on the successful candidate’s qualifications and experience.

For more information, please contact Prof. Dirk Repsilber,This is an email address, Prof. Hugo Hesser, This is an email addressor Prof. Allan Sirsjö, allan.This is an email address, or Prof. Robert Brummer,This is an email address.

Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.

More detail at https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/job/?jid=20200286/