BOL: Related items

Kmer: a suite of tools for DNA sequence analysis

BioStar — Wed, 18 Aug 2021 00:02:54 -0500

More at https://help.rc.ufl.edu/doc/Kmer

This also includes:

A2Amapper: ATAC, Assembly to Assembly Comparision tool:
- Comparative mapping between two genome assemblies (same species), or between two different genomes (cross species).

Sim4db:
- Spliced alignment of cDNA and genomic sequences, from the same (sim4) or related (sim4cc) species. Optimized for high-throughput batched alignment.

LEAFF:
- LEAFF (ahem, Let's Extract Anything From Fasta) is a utility program for working with multi-fasta files. In addition to providing random access to the base level, it includes several analysis functions.

Meryl:
- An out-of-core k-mer counter. The amount of sequence that can be processed for any size k depends only on the amount of free disk space.

Address of the bookmark: https://help.rc.ufl.edu/doc/Kmer

Scientist position in Structural Bioinformatics at Lonza

Wed, 03 Feb 2021 21:38:06 -0600

Lonza (https://www.lonza.com/) are seeking a highly motivated and skilled (Senior) Scientist with experience in Structure-based Protein Engineering and Bioinformatics to join Lonza's Applied Protein Services (APS) Bioinformatics team based in Cambridge, UK.

More at https://instruct-eric.eu/jobs/scientist-position-in-structural-bioinformatics-at-lonza-cambridge-uk/

InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams

Jit — Wed, 29 Jun 2022 03:22:26 -0500

InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets’ elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains.

More at https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0611-3

Address of the bookmark: http://www.interactivenn.net/

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

Bioinformatics Research Scientist @ Oklahoma State University (OSU)

Tue, 17 Aug 2021 13:24:39 -0500

This position is an early career research scientist in the area of Bioinformatics to support research projects involving faculty and staff, at Oklahoma State University (OSU). This is a highly technical position that requires a strong research background in biomedical or life sciences, including a high level of expertise with bioinformatics algorithms, databases, and analyses with a focus on next-generation sequence data. Although most of the projects will deal directly with the analysis of DNA and RNA sequence data the individual should be well versed in other types of data sources as well (i.e., microarrays) and handling of large datasets (using data analytics, machine learning, and deep learning techniques).

More at https://okstate.csod.com/ats/careersite/JobDetails.aspx?site=8&id=9874

Getting Started with Nextflow

LEGE — Sat, 18 Sep 2021 01:28:41 -0500

Introduction to Bioinformatics workflows with Nextflow and nf-core

Getting Started with Nextflow

Objectives Understand

What a workflow management system is.

Understand the benefits of using a workflow management system.

Explain the benefits of using Nextflow as part of your bioinformatics workflow.

Explain the components of a Nextflow script.

Run a Nextflow script.

Introduction to Bioinformatics workflows with Nextflow and nf-core

Getting Started with Nextflow

Address of the bookmark: https://carpentries-incubator.github.io/workflows-nextflow/aio/index.html

Selecting between Python 2 and Python 3?

Rahul Agarwal — Wed, 10 Jul 2013 16:30:58 -0500

Which version is best for bioinformatician to work on?

Bioinfo Lab

Fri, 04 Mar 2022 00:17:00 -0600

The Institute of Bioinformatics conducts internationally renowned research and provides profound education in bioinformatics. Its research focuses on development and application of machine learning and statistical methods in biology and medicine.

Contact:
Computer Science Building (Science Park 3)
Altenberger Str. 69, A-4040 Linz, Austria
Tel. +43 732 2468 4520 / Fax +43 732 2468 4539
E-mail secretary@bioinf.jku.at

http://www.bioinf.jku.at/

Research Fellow

Sat, 13 Jul 2013 11:23:20 -0500

UNIVERSITY OF CALCUTTA

A walk-in-interview will be held on 15.7.2013 at 12 noon in the Department of Biophysics, Molecular Biology and Bioinformatics, 92 A.P.C Road, Kolkata-700 009 to select one trainee research fellow and two students under DIC. The positions are purely temporary and would be for a period of six months from the date of joining which may be extended by another six months subject to successful performance.

Qualification:

For the Trainee Research Fellow: Should have a master degree in Bioinformatics or allied subjects and should have biological database development experience. Must have at least one publication.

For the Students: Should have a master degree in Bioinformatics or allied subjects and should be proficient in C-programming language. Must be familiar with techniques of Developmental Biology.

The Trainee Research Fellow would be paid a consolidated sum of Rs 10000/- per month and the students would be paid a sum amount Rs. 7000/- per month during the tenure of the project.

Advertisement:
www.caluniv.ac.in/News%20&%20Announcement/trainee_rf_DIC.pdf

Interesting Bioinformatics Resources !

Abhi — Fri, 11 Nov 2022 06:30:46 -0600

1. a reproducible workflow. https://www.youtube.com/watch?v=s3JldKoA0zw This two minute video will change your mind on reproducible research

2. Parallel sequencing lives, or what makes large sequencing projects successful https://academic.oup.com/gigascience/article/6/11/gix100/4557140?login=false

3. Common-sense approaches to sharing tabular data alongside publication https://www.sciencedirect.com/science/article/pii/S2666389921002300

4. A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker https://psyarxiv.com/8xzqy/

5. Practical Computational Reproducibility in the Life Sciences https://www.cell.com/cell-systems/fulltext/S2405-4712(18)30140-6

6. A video by Dr.Keith A. Baggerly from MD Anderson [The Importance of Reproducible Research in High-Throughput Biology](https://www.youtube.com/watch?v=7gYIs7uYbMo) highly recommended.

7. Ten Simple Rules for Reproducible Computational Research http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003285)

8. Good Enough Practices in Scientific Computing http://arxiv.org/abs/1609.00037

9. Best Practices for Scientific Computing https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745

10. A Quick Guide to Organizing Computational Biology Projects http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.100042 A must read for computational biologists!

11. Reproducibility of computational workflows is automated using continuous analysis https://www.nature.com/articles/nbt.3780

12. Five selfish reasons to work reproducibly https://genomebiology.biomedcentral.com/articles/10.1186/s13059-015-0850-7