BOL: Related items

Summer 2016

Sun, 21 Feb 2016 06:17:55 -0600

REU at Fordham University- Summer 2016

An NSF-funded REU to study Y-chromosome diversity and sex-biased dispersal in wild brown rats (Rattus norvegicus) is available in the Munshi-South Lab at Fordham University. Our lab is currently investigating rat evolution at scales ranging from landscape genetics of individual cities to global patterns of diversity. Development of resources for investigating Y-chromosome diversity will support many of these studies. The REU student will work with the lab to bioinformatically identify Y-chromosome SNPs, design SNPtype assays,
extract DNA, genotype samples, and analyze data.

We seek applicants interested in bioinformatics, evolutionary biology, and related disciplines. Applicants must have taken a college-level genetics course. This REU will require attention to detail, reliability, independence, and critical thinking.

This position is based at Fordham University's field station, the Louis Calder Center, in Armonk, NY. The Calder Center is located approximately 25 miles north of New York City in a protected woodland area. Housing
will be provided at the Calder Center for the duration of the REU (May 23 to Aug 12, 2016). Additionally, the student will receive a $6,000 stipend. The selected student will participate in professional development activities through the Calder Centers REU program, including presentation of results at a research colloquium at the end of the summer.

To apply, please send a one page personal statement about your scientific interests and how this REU will support your professional goals, unofficial transcripts including a list of Spring 2016 courses, and names of two professional references (including title, address, phone number, and email address) as a single pdf (with your last name in the file name) to Dr. Jason Munshi-South (jmunshisouth@fordham.edu).

Applications are due March 4th, 2016.

Jason Munshi-South

Faculty at Indian Institute of Science Education and Research Berhampur

Mon, 19 Dec 2016 03:34:26 -0600

Advt. No: IISERBPR/DoFA/2016/2

Advertisement for Faculty Positions

The IISER Berhampur, an Institute of national importance, established through an act of Parliament is an autonomous organization under the Ministry of HRD, Govt. of India, to promote quality education and cutting edge research in basic sciences and to provide a platform for the faculty to engage in high quality education, at undergraduate and postgraduate levels. The Institute invites applications for faculty positions at the level of Assistant Professor (C) /Assistant Professor in the following disciplines:

1. Biological Sciences

2. Chemistry

3. Computer Sciences

4. Mathematics

5. Physics

Only hard copy of application in the prescribed format, via Speed Post should be sent to the Dean, Faculty Affairs, IISER Berhampur, Industrial Training Institute (ITI) Berhampur, Engineering School Road, Berhampur - 760 010, Ganjam District, Odisha, before 1700 hrs., December 30, 2016.

http://www.iiserbpr.ac.in

More Info : http://www.iiserbpr.ac.in/vacancies/Advertisement%20for%20Faculty%20Positions%20at%20IISER%20Berhampur.pdf

SERB Sponsored School in Evolutionary Biology 2019, 12–26 March 2019

Fri, 14 Dec 2018 18:25:07 -0600

Venue: Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR)
Jakkur,
Bengaluru 560 064

Evolution provides the overarching framework for organizing our understanding of biological phenomena at multiple structural levels and spatio-temporal scales. As such, evolutionary biology is more of a perspective or weltanschauung on the living world rather than a sub-discipline of biology. Unfortunately, despite the centrality of evolution to all thinking in biology, evolutionary biology remains neglected in the Indian context although research in many areas, not traditionally thought to be within the ambit of evolutionary biology, would greatly benefit from an evolutionary perspective.

The first school in evolutionary biology in the country, sponsored by SERB, will be conducted at the Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru. The school aims to provide participants with an introduction to the historical development of evolutionary thought and the various ecological, genetic and developmental aspects of the evolutionary process. The school will also provide an introduction to formal evolutionary theory and statistical methods for the analysis of evolutionary data.

Master’s/Ph.D. scholars, postdoctoral researchers and young faculty members in India may apply online on or before 31 December 2018 at http://school2019.serbevolschool.in, where additional details about the school can also be found. In case of any difficulty with the submission of applications, please e-mail Prof. T. N. C. Vidya, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bengaluru, at tncvidya.lab@gmail.com.

Selected participants will be provided 3-tier AC train fare and local hospitality. There is no registration fee.

A guide to machine learning for biologists

Abhi — Tue, 28 Dec 2021 01:43:25 -0600

Because of the increasing size and inherent complexity of biological data, there has been an increase in the application of machine learning in biology to create useful and predictive models of the underlying biological processes. All machine learning techniques fit models to data; nevertheless, the specific methods are highly variable and can appear baffling at first glance. In this Review, we hope to give readers a moderate introduction to a few fundamental machine learning techniques, including the most recently created and frequently used deep neural network techniques. We illustrate how different algorithms may be adapted to specific types of biological data, as well as some best practises and points to consider when embarking on machine learning studies. There is also discussion of several upcoming directions in machine learning methodology.

Address of the bookmark: https://www.nature.com/articles/s41580-021-00407-0

phyloXML: XML for evolutionary biology and comparative genomics

Jit — Wed, 29 Nov 2017 10:04:48 -0600

phyloXML (example) is an XML language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events. Using these standardized elements allows interoperability between various applications and databases. Furthermore, both due to extensible nature of XML itself and the provision of elements by phyloXML, extensibility as well as domain specific applications are ensured. The structure of phyloXML is described by XML Schema Definition (XSD) language.

Address of the bookmark: http://www.phyloxml.org/

BioCoder : newsletter of that revolution. It’s about biology as it moves from research labs into startup incubators, hacker spaces, and even homes

Jit — Sun, 02 Feb 2020 07:43:52 -0600

BioCoder features:

Novel therapeutic discovery strategies
Hardware such as low-cost lab equipment or diagnostics
Open or low-cost bioinformatics tools
Engineered organisms for the production of small molecules, biologics, or other products
Research projects at a community labspace or projects for science education or public engagement
Hardware or software for lab automation
Citizen science or DIY research projects
Science policy
Tools to increase reproducibility in research, or anything related

Address of the bookmark: https://www.oreilly.com/biocoder/

PhD position in Molecular Cell Biology

Sat, 15 Feb 2020 06:09:55 -0600

https://www.jobvector.de/jobs-stellenangebote/biologie-life-sciences/wissenschaftliche-r-mitarbeiter-in/phd-position-molecular-cell-biology-129604.html?suid=0ec057818886c1eceac674ca3f83943367a6cbe2

Essential experience / qualifications:
We are looking for highly motivated candidates holding a Master / Diploma in Biology, Biochemistry, Molecular Medicine or similar; solid knowledge of molecular and cell biological techniques; good English knowledge.

Applications:
Please send your application (including CV, letter of motivation, contact information of two references, and list of publication) by 13.03.2020 at the latest to:

Universitätsklinikum Erlangen
Chirurgische Klinik
Translational Research Center
Prof. Dr. rer. nat. Michael Stürzl
Schwabachanlage 12
91054 Erlangen
E-Mail: michael.stuerzl@uk-erlangen.de

AccNET

Jitendra Narayan — Fri, 07 Oct 2016 05:22:11 -0500

AccNET is a Perl application that presents a new way to study the accessory genome of a given set of organisms. Using the proteomes of these organisms, AccNET create a bipartite network compatible with common network analysis platforms. AccNET collects phylogenetic and functional information in a network improving the analysis capability. Networks offer a new perspective of organism organization through elements acquired by horizontal gene transfers and not constricted by hierarchical structures.

More at https://www.youtube.com/watch?v=vdGuy1GAJrQ

Address of the bookmark: https://sourceforge.net/projects/accnet/

JASMINE: Jointly Accurate Sv Merging with Intersample Network Edges

Shruti Paniwala — Sat, 02 Jul 2022 11:41:53 -0500

This tool is used to merge structural variants (SVs) across samples. Each sample has a number of SV calls, consisting of position information (chromosome, start, end, length), type and strand information, and a number of other values. Jasmine represents the set of all SVs across samples as a network, and uses a modified minimum spanning forest algorithm to determine the best way of merging the variants such that each merged variants represents a set of analogous variants occurring in different samples.

Address of the bookmark: https://github.com/mkirsche/Jasmine

Patterns: a modeling tool dedicated to biological network modeling

Abhimanyu Singh — Fri, 26 Jul 2019 01:11:59 -0500

It is designed to work with patterned data. Famous examples of problems related to patterned data are:

recovering signals in networks after a stimulation (cascade network reverse engineering),
analysing periodic signals.

Address of the bookmark: https://github.com/fbertran/Patterns