<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/38489?offset=60 https://bioinformaticsonline.com/opportunity/view/25308/traineeship-at-biomedical-informatics-centre-pgimer-chandigarh Sun, 29 Nov 2015 03:04:27 -0600 <![CDATA[Traineeship at Biomedical Informatics Centre PGIMER Chandigarh]]> Biomedical Informatics Centre

PGIMER

Chandigarh

invites application for a project dissertation program for students who have completed their first year of M.Sc. in Bioinformatics.

This is an exciting opportunity for Master's students to train in modern methods in Bioinformatics. The duration of the training will be four to six months, starting from January 2016.

Education: Pursuing M.Sc. Bioinformatics

Essential: Post graduate applicants should have completed their first year and should be in the third semester or first half of the second year.

Only students who are willing to spend a minimum period of 4 months to a maximum of six months, without any break, would be eligible for the program.

How to Apply: Candidates interested in the above project dissertation program should apply online. Send your CV, Scanned copy of letter of recommendation from Head of Institution along with Registration form in the given format should be sent to: info@bicpgi.org

Please mention clearly “Project dissertation & your Name” in the Subject.

The last date for application is December 23, 2015

Note: Selected candidates may please note that the program is free of cost and would not provide any financial aid for transport and stay. Name of the selected candidates would be posted on the centre website by December 31, 2015.

Incomplete applications will be rejected.

For more information visit our website: http://bic-pgi.org/

]]> https://bioinformaticsonline.com/opportunity/view/25302/ra-bioinformatics-at-jamia-hamdard Sat, 28 Nov 2015 03:37:36 -0600 <![CDATA[RA Bioinformatics at Jamia Hamdard]]> Research Associate, Bioinformatics Facility
Jamia Hamdard - New Delhi, Delhi
Research Associate, Bioinformatics Facility, Jamia Hamdard.
Emoluments: Rs. 22,000 + HRA 30%
Qualification: PhD or equivalent or having 3 years of research, teaching and design and development experience after M. Pharm./M.VSc./M.E./M.Tech. PhD in life sciences and related areas with experience in Bioinformatics may apply. Company Info.
Jamia Hamdard

Jamia Hamdard New Delhi - 110062 Additional Information States & U.T State & Union Territories Delhi How To Apply Apply Details
Last date of application: December 5, 2015 Web/Notification URL http://www.jamiahamdard.ac.in/

]]> https://bioinformaticsonline.com/opportunity/view/25409/jrf-bioinformatics-at-cuk Thu, 03 Dec 2015 23:40:38 -0600 <![CDATA[JRF Bioinformatics at CUK]]> JRF Bioinformatics

Eligibility : MSc(Bio-Informatics), BE/B.Tech

Location : Kasaragod

Last Date : 20 Dec 2015

Hiring Process : Face to Face Interview
Central University of Kerala

JRF job opportunity in Central University of Kerala (CUK) on temporary basis

Project Title : "Targeting TAL effector mediated susceptibility for durable and broad-spectrum resistance to bacterial blight in Rice"

No. of Post : 01

Qualification : MSc in any subject under Life Science or Bioinformatics/ B.Tech in Bioinformatics + 1 yr experience

Stipend : Rs. 14,000/-
How to apply

Interested candidates are requested to send their applications explaining their interest in the position with an updated CV to Dr. Ginny Antony, Assistant Professor, Department of Plant Science, School of Biological Sciences, Central University of Kerala, Padannakkad, Kasaragod, Kerala - 671 314 email: ginnycuk2013@gmail.com on or before 20th December, 2015.

]]> https://bioinformaticsonline.com/opportunity/view/26221/project-assistant-at-iiser-mohali Fri, 29 Jan 2016 11:04:27 -0600 <![CDATA[Project Assistant at IISER Mohali]]> Project Assistant Job position in Indian Institute of Science Education & Research (IISER) Mohali

Title : In silico understanding of molecular basis of recognition, binding, and regulation of mRNA by STAR family of transcriptional regulators.

No. of Post : 01

Department : Science and Technology

Qualifications : M.Sc./B.Tech in computational life sciences, computational chemistry, computational natural sciences or allied areas. Working experience in MD simulations, bioinformatics, molecular modeling, and drug designing is desirable and plus

Emoluments : As per DST norms
How to apply

Applicants are requested to send application along with bio-data and a summary of previous projects (if any) as a PDF file with the e-mail to Dr. Monika Sharma, Email: mnsharma@iisermohali.ac.in. Last date of applications is 17:00 IST. Feb 15, 2016. Shortlisted candidates will be called for interview on Feb 22, 2016.

More at http://14.139.227.202/tenders/tenderinvite/index.php/iiserm-project-openings/554-applications-are-invited-to-work-as-project-assistant-in-a-dst-inspire-research-project-funded-by-department-of-science-and-technology-india

]]> https://bioinformaticsonline.com/file/view/29601/statistics-using-r-with-biological-examples Thu, 03 Nov 2016 04:55:41 -0500 https://bioinformaticsonline.com/file/view/29601/statistics-using-r-with-biological-examples <![CDATA[Statistics Using R with Biological Examples]]> This book is a manifestation of my desire to teach researchers in biology a bit more about statistics than an ordinary introductory course covers and to introduce the utilization of R as a tool for analyzing their data. My goal is to reach those with little or no training in higher level statistics so that they can do more of their own data analysis, communicate more with statisticians, and appreciate the great potential statistics has to offer as a tool to answer biological questions.

This is necessary in light of the increasing use of higher level statistics in biomedical research. I hope it accomplishes this mission and encourage its free distribution and use as a course text or supplement.

K Seefeld, May 2007

]]> Neel https://bioinformaticsonline.com/opportunity/view/44632/lecturer-uessex-in-evolutionary-biology Tue, 06 Aug 2024 02:41:17 -0500 <![CDATA[Lecturer @ UEssex in Evolutionary Biology]]> The University of Essex, UK, is seeking a Lecturer conducting research in
evolutionary biology or a related field. The new Lecturer will join the
collegial and supportive environment of the School of Life Sciences,
contributing to teaching and leading a research programme, ideally
relating to any aspect of evolutionary biology.

Application closing date 16/09/2024

Details of the post and application process can be found at the following
url:

https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=202575WW5Z&WVID=9918109NEm&LANG=USA

Informal enquiries may be made by email to the Head of the School of
Life Sciences Prof Terence McGenity at tjmcgen@essex.ac.uk(all formal
applications for the post should be made online through the University
of Essex website).

]]> https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist Fri, 02 Mar 2018 06:54:15 -0600 https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist <![CDATA[Python learning resources for bioinformatics and computational biologist !]]> Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries.

Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to build productivity tools, games, and desktop apps, so there are plenty of resources to help you learn how to do those as well.

For pros and cons visit http://www.bestprogramminglanguagefor.me/why-learn-python and http://bioinformaticsonline.com/discussion/view/459/python-vs-perl

More resources at https://github.com/CodementorIO/Python-Learning-Resources

Following are the list of useful python programming resources:

]]> Jit https://bioinformaticsonline.com/blog/view/43898/online-resources-on-must-read-papers-in-evolutionary-biology-for-a-literature-club Tue, 28 Jun 2022 07:29:08 -0500 https://bioinformaticsonline.com/blog/view/43898/online-resources-on-must-read-papers-in-evolutionary-biology-for-a-literature-club <![CDATA[Online resources on must-read papers in evolutionary biology, for a literature club]]> 1. *Nick Barton:* - The textbook "Evolution" by Nick Barton, with resources for exploring the literature: Barton, N. H., Briggs, D. E. G., Eisen, J. A., Goldstein, D. B., & Patel, N. H. (2007). Evolution. Cold Spring Harbor Laboratory Press. - Papers from a course named "Classics in Evolutionary Biology": Evolutionary Synthesis 1. Haldane, J. B. S. 1932. The causes of evolution. Longmans. New York. (esp. Ch. IV). 2. Fisher, R. A. 1930. The genetical theory of natural selection. Oxford University Press, Oxford. Selected Sections - Fundamental Theorem. Genetic Variation 1a. Lewontin, R. C., and J. L. Hubby. 1966. A molecular approach to the study of genic heterozygosity in natural populations. II. Amount of variation and degree of heterozygosity in natural populations of Drosophila pseudoobscura. Genetics. 54:595-609. 1b. Sachidandam et al. 2001. A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms. 409: 928-33. 2. Wright S., Dobzhansky T., Hovanitz W. 1942 Genetics of natural populations VII The allelism of lethals in the third chromosome of Drosophila pseudoobscura. Genetics 27: 363-394. Recombination and evolution 1. Hill, W. G., and A. Robertson. 1966. The effect of linkage on limits to artificial selection. Genet. Res. 8:269-294. 2. Maynard Smith and Haigh. 1974. The hitch-hiking effect of a favourable gene. Genet. Res. 23: 23-35. Understanding sequence variation 1. Begun D. J., Aquadro C. F., 1992 Levels of naturally occurring DNA polymorphism correlate with recombination rate in Drosophila melanogaster. Nature 356: 519-520. 2. Green R. E., Reich D., Pääbo S., 2010 A draft sequence of the Neandertal genome. Science 328: 710-722. Quantitative Genetics: variation in complex traits 1. Galton F., 1877 Typical laws of heredity. Nature 15: 492-495- 512-514- 532-533. 2. Turelli M., 1984 Heritable genetic variation via mutation-selection balance: Lerch's Zeta meets the abdominal bristle. Theor. Popul. Biol. 25: 138-193. Quantitative Genetics: finding the genes 1. Shrimpton A. E., Robertson A., 1988 The Isolation of polygenic factors controlling bristle score in Drosophila melanogaster II Distribution of third chromosome bristle effects within chromosome sections. Genetics 118: 445-459. 2. Boyle E. A., Li Y. I., Pritchard J. K., 2017 An expanded view of complex traits: from polygenic to omnigenic. Cell 169: 1177-1186. Neutral Evolution 1. Kimura, M. 1968. Evolutionary rate at the molecular level. Science. 217:624-626. 2a. Kern A. D., Hahn M. W., 2018 The Neutral Theory in Light of Natural Selection. Molecular Biology and Evolution 110: 21077-6. 2b. Jensen J. D., Payseur B. A., Stephan W., Aquadro C. F., Lynch M., Charlesworth D., Charlesworth B., 2018 The importance of the Neutral Theory in 1968 and 50 years on: a response to Kern and Hahn 2018. Evolution 112: 2109-4. 2c. Ellegren & Galtier. 2016. Determinants of genetic diversity. Nature Reviews Genetics. Mutation and Genetic Variability 1. Luria, S. E., and M. Delbrück. 1943. Mutations of Bacteria from Virus Sensitivity to Virus Resistance. Genetics. 28(6):491-511. 2. Hill, W G. 1982. "Rates of Change in Quantitative Traits From Fixation of New Mutations." Proceedings of the National Academy of Sciences (U.S.A.) 79: 142-45. Testing for selection 1. McDonald & Kreitman. 1991. Adaptive protein evolution at the Adh locus in Drosophila. Nature. 2. Begun, et al. Mol. Biol. Evol. 16, 1816-1819 (1999). 3. Siddiq et al. 2016. Experimental test and refutation of a classic case of molecular adaptation in Drosophila melanogaster. Nature Ecology & Evolution. The shifting balance 1. Wright, S. 1932. The roles of mutation, inbreeding, crossbreeding and selection in evolution. Proceedings of the VI International Congress of Genetics: 1. pp 356-366. 2. Coyne, J.A., N.H. Barton, and M. Turelli. 1997. A critique of Wright's shifting balance theory of evolution. Evolution 51: 643-671. 3. Barton. 2016. Sewall Wright on Evolution in Mendelian Populations and the "Shifting Balance". Genetics. Evolution of Sex 1. Muller, H.J. 1964. The relation of recombination to mutational advance. Mutation Res. 1(1):2-9 2. McDonald et al. 2016. Sex speeds adaptation by altering the dynamics of molecular evolution. Nature. Kin Selection, Cooperation, and Conflict 1. Hamilton, W. D. 1964. The genetical evolution of social behaviour I. Journal of Theoretical Biology. 7:1-52. 2. Trivers, R. L. 1974 Parent-offspring conflict. American Zoologist. 14(1):249-264. Sexual Selection 1. Zahavi, A. 1975. Mate selection - a selection of a handicap. J. Theor. Biol. 53:205-214. 2. Kirkpatrick, M., and Ryan, M.J. 1991. The evolution of mating preferences and the paradox of the lek. Nature. 350:33-38. Fitness Landscapes 1. Dean, A. 1995. A Molecular Investigation of Genotype by Environment Interactions. Genetics. 139:19-33. 2. Costanzo et al. 2010. The Genetic Landscape of a Cell. Science. Speciation 1. Coyne, J. A., and H. A. Orr. 1989. Patterns of speciation in Drosophila. Evolution. 43:362-381. 2. Corbett-Detig et al. 2013. Genetic incompatibilities are widespread within species. Nature. 2. *Marcos Antezana:* Valen, L. v. 1975. Energy and Evolution. University of Chicago, Department of Biology. 3. *Remco Folkertsma:* 1. The work by Hopi Hoekstra on local adaptation and oldfield mice 2. Poelstra, J. W., Vijay, N., Bossu, C. M., Lantz, H., Ryll, B., Müller, I., ... & Wolf, J. B. (2014). The genomic landscape underlying phenotypic integrity in the face of gene flow in crows. Science, 344(6190), 1410-1414. 4. *Joshka Kaufmann and Leslie Turner* They offer us a link to 'papers every evolutionary biologist should read', the papers are collected by Leslie Turner. https://static1.squarespace.com/static/53e8cb7ce4b02c4bc3aeeee4/t/5ab8fcb670a6ad55c67fcdf4/1522072758665/EvoBioClassicsRefList.pdf 5. *Sarah Stockwell* Matt Ridley collected classic papers in evolutionary biology and printed part of these papers in his book Evolution (see Matt Ridley. Evolution (Univ. of Oxford Press, 2nd edition, 2004))]]> Shruti Paniwala https://bioinformaticsonline.com/bookmarks/view/34088/sequence-evolution-function-computational-approaches-in-comparative-genomics Sun, 06 Aug 2017 06:58:12 -0500 https://bioinformaticsonline.com/bookmarks/view/34088/sequence-evolution-function-computational-approaches-in-comparative-genomics <![CDATA[Sequence - Evolution - Function; Computational Approaches in Comparative Genomics]]> Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis.

Address of the bookmark: https://www.ncbi.nlm.nih.gov/books/NBK20260/

]]> Jit https://bioinformaticsonline.com/researchlabs/view/42137/plant-computational-genomics-lab-%E2%80%93-jill-wegrzyn Thu, 20 Aug 2020 19:49:12 -0500 <![CDATA[PLANT COMPUTATIONAL GENOMICS LAB – JILL WEGRZYN]]> Our research focuses on the computational analysis of genomic and transcriptomic sequences from non-model plant species. We do this by developing approaches to examine gene finding, gene expression, transcriptome assembly, and conserved element identification, through machine learning and computational statistics. We use these novel methods to address questions related to genome biology and population genomics.

We also develop web-based applications that integrate data across domains to facilitate the forest geneticist or ecologist’s ability to analyze, share, and visualize their data. Such integration requires the implementation of semantic technologies and ontologies to connect genotype, phenotype, and environmental data.

http://plantcompgenomics.com/

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