Bioinformatics is a rapidly growing field at the intersection of biology, computer science, mathematics, and statistics. As data volumes increase, as well as the diversity of data types (genomics, proteomics, metabolomics, imaging, single‑cell data, etc.), the need for robust computational methods, rigorous models, and reproducible tools has never been greater.

A key decision for researchers is: Where should I publish my work? The choice of journal impacts visibility, peer recognition, and long‑term influence of your research. Below I provide a guide to leading journals in bioinformatics, criteria for selecting the journal that best fits your work, and why these considerations matter.

Leading Journals in Bioinformatics

Criteria to Use When Choosing a Journal

• Scope & Audience
• Impact & Visibility
• Review Time & Speed
• Open Access
• Cost / APCs
• Reputation vs Practical Fit
• Reproducibility, Data & Code Sharing Policies
• Indexing & Reach
• Quality of the field
• Accelerating discovery
• Fair access
• Credibility & trust
• Read recent papers in the journal
• Tailor the manuscript
• Check the author guidelines
• Have backup journals ready
• More emphasis on machine learning / AI
• Single‑cell, spatial omics, multimodal data
• Cloud workflows, reproducible pipelines
• Preprints / open peer review
• Alternative metrics (software use, downloads, community adoption)

Selecting where to publish in bioinformatics isn’t just about prestige; it’s about reaching the right audience, ensuring your work is usable, and contributing to the field responsibly.

Main mission:

Develop and implement strategies for whole-genome sequencing of non-model
species
Generate high-quality de novo genome assemblies using short- and long-read
sequencing technologies
Perform genome annotation and structural/functional characterization
Conduct comparative genomic analyses across related species or populations
Design and implement genome-wide association studies (GWAS) to identify
loci associated with phenotypic or adaptive traits
Integrate genomic, phenotypic, and environmental datasets
Contribute to the development of reproducible bioinformatics pipelines

Activités (Activities):

Lead the genomic component of the research project
High-molecular-weight DNA extraction optimization
Long-read genome assembly (PacBio HiFi / ONT)
Genome polishing and quality assessment (BUSCO, QUAST)
Structural and functional annotation
Variant discovery (SNPs, indels, SVs)
Population genomic analyses (FST, demographic inference)
Mixed-model GWAS accounting for structure
Workflow development (Snakemake/Nextflow)
HPC-based pipeline implementation
Publish results in peer-reviewed journals
Present findings at international conferences
Collaborate with experimental and computational team members
Contribute to project development
Mentor graduate students when appropriate

More at https://evol.mcmaster.ca/brian/evoldir/PostDocs//MontpellierU.ComparativeGenomics

Genomics England will play a key role in building on the UK’s long track record as leader in medical science advances to push the boundaries by unlocking the power of DNA data. The UK will become the first ever country to introduce this technology in its mainstream health system – leading the global race for better tests, better drugs and above all better, more personalised care.

http://www.genomicsengland.co.uk/100k-genome-project/

SciGenom Research Foundation (SGRF) and Institute of Genomics and Integrative Biology (IGIB) are pleased to host the Next-Generation Sequencing and Bioinformatics for Genomics & Healthcare conference.

In the ten years since the first human reference genome was completed for US$3 billion the sequencing technologies have radically changed leading to great reduction in sequencing cost. Today a human genome can be sequenced for under US$ 5000 in less than two weeks. It is expected that by the end of 2015 the cost of sequencing a human genome will drop to below thousand dollars. The next generation sequencing technologies over the past five years have enabled a large number of genomic studies that impact human health and disease. Also, this has made possible the growth of microbial, animal and plant genomics studies. While the data production has increased at a rapid pace challenges remain in analyzing and understanding the data. The conference will cover the next generation sequencing (NGS) technologies, bioinformatics for NGS and applications of NGS in many areas including personalized medicine.

For more info : http://www.scigenomconferences.com/2013/default.php

http://www.isb-sib.ch/education/training-courses.html

Canadian bioinformatics also organises various bioinformatics and sequencing courses:

http://bioinformatics.ca/workshops

In addition to above two, EMBI Europe, EMBO Europe, Cold Spring Harbour USA, Wellcome Trust UK and NOVA Europe also organise bioinformatics and sequencing courses annually:

http://www.embl.de/training/events/index.php?p_outstation=ALL

http://www.embo.org/funding-awards/courses-workshops

http://meetings.cshl.edu/courses.html

http://www.wellcome.ac.uk/Education-resources/Courses-and-conferences/Advanced-Courses-and-Scientific-Conferences/Advanced-Courses/index.htm

http://www.nova-university.org/pagetop.cfm?MenySidorTop_id=2&open=7

Candidates must have: a PhD degree in statistics, biostatistics or bioinformatics, extensive experience in analyzing high-dimensional data (microarray, SNP, CNVs) and of validation approaches. In addition, experience in penalized regression methods, data base manipulation; and strong programming skills in order to conduct Monte Carlo studies and applications (R). Candidate must have excellent communication skills (verbal, written and presentation), a strong proficiency in Linux system.

This position is available immediately and will be filled as soon as possible. Appointment could be extended beyond the first year based on additional funding.

For more information about the Department of Biostatistics and Bioinformatics, please visit our website: http://www.biostat.duke.edu.

For more info: http://biostat.duke.edu/sites/biostat.duke.edu/files/Halabi%20-%20Postdoc%20Job%20Posting%202013%20updated.pdf

Duke University is an Equal Opportunity/Affirmative Action Employer.

Uni Computing (formerly Uni BCCS) is a department of Uni Research, affiliated with the University of Bergen.

5 groups in this lab works on computational resources, methods, algorithms, and software.

Following two bioinformatics groups are:

The Computational Biology Unit (CBU) provides education and research in bioinformatics focused on functional genomics.

The Computational Ecology Unit (CEU) is basically deal with population fluctuations, behavioural patterns and the ways life cycles emerge.

PNAS papers:
http://www.pnas.org/search?author1=Janet+Kelso&sortspec=date&submit=Submit

Jobs:
http://www.eva.mpg.de/genetics/bioinformatics/jobs.html

Contact:
Kelso Group
Department of Evolutionary Genetics
Max Planck Institute for Evolutionary Anthropology
Deutscher Platz 6
04103 Leipzig
Germany
Email: kelso@eva.mpg.de