BOL: Related items

Postdoctoral Fellow in Genomics and Comparative Genomics

Thu, 09 Apr 2026 02:12:32 -0500

Environnement de travail (Work environment):
The successful candidate will join a dynamic research group working
on the ecology and evolution of host'parasite'environment
interactions in non-model organisms, particularly snail vectors and
its trematode parasites. She/He will conduct genomic analyses aimed at
understanding host'parasite coevolution and the genetic architecture
of resistance in the invasive snail Pseudosuccinea columella to the
zoonotic parasite Fasciola hepatica. This thematic line is embedded
within the regional scientific project InvaSnail financed by the
ExposUM initiative from the Montpellier. The position is based in
Montpellier, a vibrant scientific hub in Southern France internationally
recognized for excellence in ecology and evolutionary biology. The IHPE
laboratory provides a collaborative research environment with access
to high-performance computing facilities, sequencing platforms, and
strong interdisciplinary interactions across research institutions in
the Montpellier area. University

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

ActivitÃ©s (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

Professor of Bioinformatics

Sat, 15 Aug 2026 12:39:03 -0500

The Department of Statistics are seeking to recruit a Professor of Bioinformatics. The professorship will be held alongside a Fellowship at University College.

The Department is at the forefront of developments in machine learning, data science, and computational methods for understanding complex biological systems, integrating these approaches into both its research and teaching. This role offers significant scope to shape the future of bioinformatics and quantitative biology at Oxford and beyond.

You will be expected to develop and lead a world-class research programme in bioinformatics, helping to strengthen Oxford's position in areas such as statistical genomics, computational biology, machine learning for biological data, engineering biology, systems biology, and biomedical data science. We value the breadth of approaches that contribute to modern bioinformatics. Whatever your particular focus, you will understand how quantitative and computational methods can be applied to important biological and biomedical questions, and how collaboration across disciplines can generate new insights and opportunities. Alongside your own research, you will support the development of doctoral students, postdoctoral researchers, and early-career academics. You will contribute to our teaching at undergraduate and postgraduate level, delivering lectures, supervising student projects, and supporting graduate research students.

We are looking for someone who combines scholarly distinction with a collaborative and ambitious approach to research. You will be a researcher with an international reputation in bioinformatics, with a strong record of producing influential research at the interface of statistics, computational biology, genomics, and data science, and of securing research funding. Your work should advance the field, whether through methodological innovation, biological discovery, or the development of new approaches to understanding complex biological and biomedical data. You will bring experience of shaping research strategy, building productive collaborations, and exercising academic leadership. Above all, we wish to appoint someone who shares our values of intellectual curiosity, academic excellence, scholarly integrity, and a commitment to fostering a positive, supportive, and inclusive environment for all.

If you would like to discuss this post, please contact the Head of the Department of Statistics, Professor Frank Windmeijer, frank.windmeijer@stats.ox.ac.uk, or for information about University College please contact the Senior Tutor, Dr Andrew Bell, andrew.bell@univ.ox.ac.uk. All enquiries will be treated in strict confidence and will not form part of the selection decision.

The closing date for applications is 12:00 noon UK time on Monday 21 September 2026. Interviews are expected to be held in November 2026.

Apply here https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form

Yeaman Lab

Wed, 16 Sep 2026 04:01:26 -0500

The natural world is a diverse place. To contend with highly variable environments, organisms have evolved a wide range of traits and behaviours as adaptations to their environment. From armour plating in stickleback to trade-offs between growth rate and cold tolerance in lodgepole pine, organisms have found many different genetic solutions to the challenge of existing in their environment. In my lab, we study a range of questions asking how such complex adaptations evolve:
How is the genetic basis of local adaptation shaped by the interplay between natural selection and dispersal?
Does the architecture of genome evolve to facilitate further adaptation?
How can we use genomic technologies and bioinformatics to study adaptation?
How do organisms adapt to rapidly changing environments?

To attempt to answer these questions about the basics of how evolution works, we use a combination of computational biology, analytical theory, comparative genomics.

More at https://yeamanlab.weebly.com

Great Place to Study Bioinformatics in Europe

Rahul Agarwal — Sun, 18 Aug 2013 18:41:34 -0500

Study bioinformatics is like being jack of all trade so it is important you choose where it will be good backup of computer science, and natural science infrastructure and faculty. Especially having a good teachers in computer science is indispensible.

Few places in Europe where good (and @some places no tution fees) master bioinformatics courses and recommended are:

KU Leuven, Belgium

http://onderwijsaanbod.kuleuven.be/opleidingen/e/CQ_50269018.htm

ETH, Zurich

http://www.cbb.ethz.ch/

University of Copenhagen, Denmark

http://studies.ku.dk/masters/bioinformatics/

University of Helsinki, Finland

http://www.cs.helsinki.fi/en/mbi/

Stockholm University, Sweden

http://www.sbc.su.se/masters/

Universities in Netherlands

http://www.nbic.nl/education/msc-programmes/

TUM , Munich Germany

http://www.mastersportal.eu/studies/865/bioinformatics.html

University of Bergen, Norway

http://www.uib.no/en/studieprogram/MAMN-INF/BI/plan

Goethe-University in Frankfurt am Main

http://www.uni-frankfurt.de/58444439/mabi

Other links:

http://www.masterstudies.com/Masters-Degree/Bioinformatics/Europe/

https://studyinsweden.se/programmes/?query=bioinformatics&period=ht-2016&level=ma&subject=natural-science&university=#search

Free math books

Manisha Mishra — Thu, 12 Dec 2013 19:38:34 -0600

Bioinformatics require some match skills, therefore I decided to provide this wonderful math eBooks links to the BOL community.

Please add ur links/bookmarks in comment section.

Address of the bookmark: http://physicsdatabase.com/free-math-books/

RNA Bioinformatics and High Throughput Analysis Jena

Sat, 09 Nov 2013 20:03:56 -0600

Research Topics:

High Throughput Sequencing Analysis
Comparative Genomics
Identification and Annotation of Non-coding RNAs
Bioinformatic Analysis and System Biology of Viruses
Coevolution of Proteins and RNAs
Algorithmic Bioinformatics
Phylogenetic Analysis

http://www.rna.uni-jena.de/index.php

Bioinformatics software for biologists in the genomics era

Poonam Mahapatra — Sun, 22 Dec 2013 17:31:05 -0600

The genome sequencing revolution is approaching a landmark figure of 1000 completely sequenced genomes. Coupled with fast-declining, per-base sequencing costs, this influx of DNA sequence data has encouraged laboratory scientists to engage large datasets in comparative sequence analyses for making evolutionary, functional and translational inferences. However, the majority of the scientists at the forefront of experimental research are not bioinformaticians, so a gap exists between the user-friendly software needed and the scripting/programming infrastructure often employed for the analysis of large numbers of genes, long genomic segments and groups of sequences. We see an urgent need for the expansion of the fundamental paradigms under which biologist-friendly software tools are designed and developed to fulfill the needs of biologists to analyze large datasets by using sophisticated computational methods. We argue that the design principles need to be sensitive to the reality that comparatively small teams of biologists have historically developed some of the most popular biological software packages in molecular evolutionary analysis. Furthermore, biological intuitiveness and investigator empowerment need to take precedence over the current supposition that biologists should re-tool and become programmers when analyzing genome scale datasets.

Address of the bookmark: http://bioinformatics.oxfordjournals.org/content/23/14/1713.full

List of bioinformatics companies and genomics service providers

Rahul Agarwal — Wed, 02 Apr 2014 06:52:28 -0500

Plz check out link for bioinformatics and genomics companies.

Address of the bookmark: http://grouthbio.com/Genome_Software_Service.php

Bioinformatician for a lab at the Weizmann Institute of Science, Israel

Mon, 13 Oct 2014 04:38:28 -0500

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.

PIT Bioinformatics Group

Tue, 16 Jun 2015 14:34:26 -0500

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