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

Look up a biological numbers

Jitendra Narayan — Fri, 23 Aug 2013 03:27:45 -0500

Did you ever need to look up a number like the volume of a cell or the cellular concentration of ATP, only to find yourself spending much more time than you wanted on the Internet or flipping through textbooks - all without much success?

Well, it didn’t happen only to you. It is often surprising how difficult it can be to find concrete biological numbers, even for properties that have been measured numerous times. To help solve this for one and all, BioNumbers (the database of key numbers in molecular biology) was created. Along with the numbers, you'll find the relevant references to the original literature, useful comments, and related numbers.

To cite BioNumbers please refer to: Milo et al. Nucl. Acids Res. (2010) 38: D750-D753. When using a specific entry from the database it is highly recommended that you also specify the BioNumbers 6 digit ID, e.g. "BNID 100986, Milo et al 2010".

Address of the bookmark: http://bionumbers.hms.harvard.edu/

Chemical Elements of Bioinformatics

Rahul Agarwal — Tue, 03 Sep 2013 16:35:39 -0500

You must be familiar with periodic table and colour pattern, but this time you are going to amaze by new elements table by Eagle genomics. Just check it out and have fun :)

http://elements.eaglegenomics.com/

Ancestor at work !!!

Jit — Sun, 25 Aug 2013 19:45:28 -0500

When they will learn Bioinformatics :)

Bioinformatics and Sequencing Courses and Workshops

Rahul Agarwal — Sat, 24 Aug 2013 16:41:26 -0500

Swiss Institute of Bioinformatics (SIB) organises lots of bioinformatics courses covering wide range of topics:

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

Chang lab

Tue, 24 Sep 2013 17:25:49 -0500

The Chang lab is focused on how the activities of hundreds or even thousands of genes (gene parties) are coordinated to achieve biological meaning. We have pioneered methods to predict, dissect, and control large-scale gene regulatory programs; these methods have provided insights into human development, cancer, and aging. A particular interest is how cells know and remember their locations in the body, particularly with the help of long noncoding RNAs.

More at http://changlab.stanford.edu/index.html

Uni Computing Bergen Norway

Tue, 03 Sep 2013 18:40:50 -0500

Info on Uni Computing (Webpage: http://www.bccs.uni.no/) :

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.

Genetics for Fun and Profit: Andrew Hessel at TEDxVilnius

Sun, 01 Sep 2013 19:15:06 -0500

Andrew Hessel co-chairs the Bioinformatics and Biotechnology track at the Singularity University, an institution founded by futurist Ray Kurzweil and X Prize Foundation CEO Peter Diamandis, with sponsorship from world-leading organizations that include Google, Autodesk, and NASA. He is also the founder of the Pink Army Cooperative, a venture aiming to make open source personalized cancer therapies. His work has been featured in The New York Times, Futurist Magazine, H+, and Wired News. In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)

The Minerva Research Group for Bioinformatics (Janet Kelso)

Wed, 09 Oct 2013 12:57:45 -0500

The focus of this group is to use computational approaches to gain an insight into genome evolution in primates.

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

PostDocs positions in computer science in HELSINKI, FINLAND

Fri, 06 Sep 2013 10:11:19 -0500

Several university departments in the Helsinki region, Finland, are looking for postdoctoral researchers in the field of computer science and information technology. Jobs are available at:
· Helsinki Institute for Information Technology HIIT, Aalto University and University of Helsinki, http://www.hiit.fi
· Department of Computer Science, University of Helsinki, http://www.cs.helsinki.fi
· Department of Information and Computer Science, Aalto University, http://ics.aalto.fi
· Department of Computer Science and Engineering, Aalto University, http://cse.aalto.fi
· Department of Mathematics and Statistics, University of Helsinki, http://mathstat.helsinki.fi/english/

Why Helsinki?
The collaborating Aalto University and University of Helsinki form a leading hub of computer science and modelling, including Machine learning, Data mining, Algorithms, Computational Logic, Cloud computing, Distributed computing, Human-centric ubiquitous ICT, Bioinformatics, etc.
Helsinki region is a safe, pleasant and attractive place to live in, with well-functioning services such as public transport etc. Finland has a comprehensive social security and health care system, including exceptionally good parental leaves, and children's day care services.

Positions are offered in:
Algorithm engineering (String Algorithms group)
Algorithmic bioinformatics (Genome-Scale Algorithmics group)
Automated reasoning and search, especially propositional logic (Computational Logic group)
Computational astrophysics and/or data analysis (Computational Methods and Data Analysis for Astrophysics group)
Computational biology and statistical methods in bioinformatics (Computational Systems Biology group)
Computational creativity and data mining (Discovery group)
Dynamic and large-scale networked systems (Data Communications Software group)
Intelligent multimodal information access (Content-Based Image and Information Retrieval Group)
Machine learning and neuroscience (Statistical Machine Learning group)
Machine learning for structured data (Kernel Machines, Pattern Analysis and Computational Biology group)
Machine learning methods for infectious disease epidemiology (Bayesian Statistics Group)
Probabilistic modeling and machine learning (Complex Systems Computation group)
Statistical machine learning (Statistical Machine Learning group)
Analysing ubiquitous sensor data (HIIT-Wide Focus Area)
Interactive visualization (HIIT-Wide Focus Area)
Affective computing and BCI (HIIT-Wide Focus Area)
Intelligent user interfaces and/or recommender systems (HIIT-Wide Focus Area)
Information retrieval and HCI (HIIT-Wide Focus Area)
Machine learning and data analysis, especially information retrieval, HCI, text and context data (HIIT-Wide Focus Area)
Probabilistic modeling and data analysis for bioinformatics (HIIT-Wide Focus Area)

More at http://www.hiit.fi/postdoc-call-2013