BOL: Related items

bipype

Jit — Thu, 01 Dec 2016 08:47:38 -0600

Bipype is a very useful program, which prepare a lot of types of bioinformatics analyses. There are three input options: amplicons, WGS (whole genome sequences) and metatranscriptomic data. If amplicons are input data, then bipype does reconstruction and pairs merging. After that biodiversity is searching. There are two types of searching depending on the amplicons types (ITS or 16S). If WGS are chosen, then bipype finds the SA coordinates of the input reads and generates alignments in the SAM format given single-end reads, aligns reads to reference sequence(s). All of these analyses will be shown with Krona program, which allows to show hierarchical data with pie charts.

Address of the bookmark: https://readthedocs.org/projects/bipype/

Setting python version as default on Linux

Rahul Nayak — Tue, 04 Sep 2018 10:15:47 -0500

If you have a later version than 2.6 you'll need to set 2.6 as the default Python. Later versions would be 2.7 and 3.1; see what you have by typing

python -V

at the terminal. For purposes of this example we'll assume you have 3.1 installed. You'll next need to execute the following commands:

sudo apt-get install python2.6 idle-python2.6
sudo update-alternatives --install /usr/bin/python python /usr/bin/python3.1 1
sudo update-alternatives --install /usr/bin/python python /usr/bin/python2.6 10
sudo update-alternatives --config python

This last command will allow you to choose which version of python to use by default. If you have done everything above correctly, python2.6 should already be set as the default. If it is not, choose it to be the default. From now on, running python should start version 2.6.

Undoing These Changes

In some cases (e.g., installing or updating certain packages), you'll get an error message if you've run the commands above. To update these packages, you'll have to temporarily undo these changes. Here's how to do that:

sudo update-alternatives --remove-all python
sudo ln -s python3.1 /usr/bin/python

Once you're done updating these packages, execute the commands at the top to set python2.6 as the default again.

Nucleus: Python and C++ code for reading and writing genomics data.

Jit — Sun, 02 Feb 2020 08:14:19 -0600

Nucleus is a library of Python and C++ code designed to make it easy to read, write and analyze data in common genomics file formats like SAM and VCF. In addition, Nucleus enables painless integration with the TensorFlow machine learning framework, as anywhere a genomics file is consumed or produced, a TensorFlow tfrecords file may be used instead.

Address of the bookmark: https://github.com/google/nucleus

Flanker

Rahul Nayak — Sat, 27 Feb 2021 22:04:53 -0600

Flanker, a Python package which performs alignment-free clustering of gene flanking sequences in a consistent format, allowing investigation of mobile genetic elements (MGEs) without prior knowledge of their structure. Flanker can be flexibly parameterised to finetune outputs by characterising upstream and downstream regions separately and investigating variable lengths of flanking sequence.

Address of the bookmark: https://github.com/wtmatlock/flanker

scikit-bio™ is an open-source, BSD-licensed, python package providing data structures, algorithms, and educational resources for bioinformatics.

Jit — Fri, 02 Mar 2018 04:29:47 -0600

scikit-bio is currently in beta. We are very actively developing it, and backward-incompatible interface changes can and will arise. To avoid these types of changes being a surprise to our users, our public APIs are decorated to make it clear to users when an API can be relied upon (stable) and when it may be subject to change (experimental). See the API stability docs for more details, including what we mean by stable and experimental in this context.

Address of the bookmark: http://scikit-bio.org/

Seq: A high-performance, Pythonic language for bioinformatics

Rahul Nayak — Sat, 23 Nov 2019 08:58:12 -0600

Seq is a programming language for computational genomics and bioinformatics. With a Python-compatible syntax and a host of domain-specific features and optimizations, Seq makes writing high-performance genomics software as easy as writing Python code, and achieves performance comparable to (and in many cases better than) C/C++.

Learn more by following the tutorial or from the cookbook.

Address of the bookmark: https://seq-lang.org

Science-Corps Fellows, to teach science to underserved students and build science capacity in the developing world

Sat, 23 Dec 2017 01:48:21 -0600

*Science-Corps* *Providing an opportunity for recent PhD graduates, as Science-Corps Fellows, to teach science to underserved students and build science capacity in the developing world*

Interested in taking a six month break from the research/academic track to work in a different part of the world and share your expertise where it is needed? Science-Corps has launched a new fellowship, which provides STEM PhD graduates the opportunity to teach science, design curriculum, and build scientific capacity abroad.

Science-Corps is recruiting STEM PhD students near degree completion and up to four years post completion for placement starting June of 2018.

Applications are due by January 31, 2018.

If interested, visit http://www.science-corps.org/

Coding Ground

Jitendra Narayan — Tue, 17 Mar 2015 00:47:20 -0500

Online coding group for most of the programming languages.

Code in almost all popular languages using Coding Ground. Edit, compile, execute and share your projects, 100% cloud.

http://www.tutorialspoint.com/codingground.htm

Address of the bookmark: http://www.tutorialspoint.com/codingground.htm

Introduction to Bioinformatics and Computational Biology

Jit — Mon, 25 Jan 2021 01:32:30 -0600

This is the course material for STAT115/215 BIO/BST282 at Harvard University.

Xiaole Shirley Liu (lead instructor)
Joshua Starmer
Martin Hemberg
Ting Wang
Feng Yue

Ming Tang
Yang Liu
Jack Kang
Scarlett Ge
Jiazhen Rong
Phillip Nicol
Maartin De Vries

We thank many colleagues in the community, who helped Dr. Liu in prepare the STAT115/215 BIO/BST282 course over the years.

Address of the bookmark: https://liulab-dfci.github.io/bioinfo-combio/

Bioinformatics in Africa: Part6 - Sudan

BioStar — Sat, 06 Feb 2021 21:20:59 -0600

Commission for Biotechnology & Genetic Engineering Khartoum: The Commission for Biotechnology and Genetic Engineering was established in 9/2/1993 as research unit. In addition to research activities it acts as focal point for the International Center for Biotechnology and Genetic Engineering. The commission conducts researches in order to play a part in solving economical, environmental, health and nutritional problems using modern research techniques with an emphasis on the applied researches in these areas. The laboratories were well furnished with the essential equipments and the catalyst infrastructure to facilitate emergence of a successful for research. The Commission equipped with a computer center and information to serve as informatics and Digital library.

Research Interest and Activities: 1. Plant Genetic Transformations
2. Molecular Population Genetics 3. Detection of human and Animals diseases 4. Breast Cancerspecific protein marker 5. Phytochemical 6. Genomic map 7. Bioremediation 8. Tissue Culture.

Web site and links: www.geocity.cbge.com