BOL: Related items

Bioinformatics lectures !

Jit — Wed, 29 Nov 2017 05:39:54 -0600

Computational Biology is a huge field of study, that touches upon many distinct algorithmic and biological areas of study. What we are able to cover in this course will depend, in part, on the pace at which we move, which I will attempt to adjust as appropriate. However, here is a tentative list of topics I hope to cover this semester (not necessarily in order).

Optimal sequence alignment (global, local, and glocal alignment &mdash with constant & affine gap penalties
Algorithms and data structures for efficient text indexing and exact search
Heuristics for read alignment and mapping &mdash mapping DNA-seq and RNA-seq reads
Genome assembly &mdash k-mers, De Brujin graph construction and representation, long-read technology and read-overlap graph assembly
Motif finding via Gibbs sampling
Gene finding &mdash statistical models for ab initio and evidence-guided prediction of genes
RNA-seq and transcriptomics &mdash transcript assembly, abundance estimation and differential expression testing
Phylogenetics &mdash The small and large phylogeny problem; parsimony, maximum likelihood and Bayesian methods

Address of the bookmark: https://rob-p.github.io/CSE549F16/lectures/

The Ontario Institute for Cancer Research (OICR) Genomics Lab , Toronto, Canada.

Mon, 12 Aug 2013 01:43:13 -0500

The Human Genome Project led to the development of a wide array of technologies to screen the genome and its products (genes, proteins, metabolites) and molecules that interact with these products (chemicals, RNAi). The existence of these tools resulted in the creation of facilities that use robotics and informatics to generate high-throughput screens of DNA, RNA, protein, tissue, chemicals and other substances.

The genomics platform uses cancer genome sequencing and other high-throughput techniques to identify genes critical to the development of cancer and anomalies in the genomic profile of the tumours.

For more info visit : http://oicr.on.ca/

Eugene V. Koonin Lab

Tue, 09 Jan 2018 05:01:15 -0600

Interested in understanding the evolution of life. To obtain glimpses of such understanding, we employ existing and new methods of computational biology to perform research in several major areas.

https://www.ncbi.nlm.nih.gov/research/groups/koonin/

AU-KBC Lab

Sun, 15 Sep 2013 09:33:59 -0500

Conducting Clinical Trial Management Course combined with the Apollo Hospitals. Major Research in bioinformatics as Drug Discovery, Functional Genomics, Comparative genomics, Data Mining

More @ http://www.au-kbc.org/

Bioinformatics postdoctoral position at inStem

Tue, 13 Feb 2018 03:18:54 -0600

One postdoctoral position is available in the area of Bioinformatics. This position is available through a highly collaborative project involving multiple labs.

The primary focus here would be to analyse and integrate high throughput data from various aspects of translation regulation including non-coding RNAs, mRNAs and modification of ribosomal RNA. We request the interested candidates to approach either

Dasaradhi Palakodeti (dasaradhip@instem.res.in)
Or
Ravi Muddashetty (ravism@instem.res.in)

BIGRE Lab

Sun, 17 Nov 2013 10:35:49 -0600

The Laboratoire de Bioinformatique des Génomes et des Réseaux (Genome and Network Bioinformatics) is specialized in the conception, implementation, evaluation and application of bioinformatics approaches for the analysis of genome, transcriptome, proteome and metabolism.
Our main activities include

Analysis of regulatory sequences (RSAT project)
Classification and analysis of mobile genetic elements (ACLAME project).
Analysis of molecular interaction networks (NeAT project)
Inference of metabolic pathways from genomic and post-genomic data
(metabolic pathfinding, see also metabolic pathfinding in NeAT)
Critical assesment of protein interactions (CAPRI)

Lab Page http://www.bigre.ulb.ac.be/

Bioinformatics postdoctoral position at CSIR - Institute of Himalayan Bioresource Technology, Palampur (H.P.)

Thu, 05 Apr 2018 06:57:17 -0500

Walk-in-Interview is scheduled to be held on the date as mentioned below for selection of Suitable candidates in the following areas under the DBT sponsored projecT on purely temporary basis for the duration of the project(s) or till completion of projects whichever is earlier:

Project Title:
"Exploration of RBP-RNA interactions to reveal the post-transcriptional regulatory impact, and development of related tools and resource server".

Position: Research Associate (1 position)
Age : 35 years as on 02.05.2018
Salary : Rs.36,000/- P.M. + H.R.A.

as per the funds provisions in the respective projects.

Eligibility Criteria :
Essential Qualifications: Ph.D. in any area of Bioinformatics/ Computational Biology/ Life Sciences.
Desirable: Candidate having experience in Bioinformatics will be preferred.

Essential Qualifications: M.Tech. in Bioinformatics/ Computation Biology/ Computer Science or any related area with 3 years of research experience.

Selection Procedure : Walk In Interview

Date : 02 May, 2018
Time : 9:30 A.M.
Venue : CSIR-IHBT Palampur (H.P.)

For more info refer to following doc:

http://ihbt.res.in/components/com_chronoforms5/chronoforms/uploads/Recruitment/20180404125233_AdvtNo11_2018.pdf

Bioinformatics -- Understanding of living systems through information science

Wed, 14 Aug 2013 11:50:17 -0500

Recently, the progress of the Human Genome Project, aiming to decode all human DNA sequences, has highlighted a research field called bioinformatics. In this new field, computers and techniques from information science are not just used as tools to advance life science research; they're expected to have a major impact on how we think about the life sciences. Q. The main feature of bioinformatics is, it utilizes computers to analyze life. One is example is the genome. In all organisms, DNA contains genetic information, and this is called the genome. But the amount of information involved is huge, so recently, it's been read using next-generation sequencers, and analyzed by computers. In bioinformatics research, what we do is utilize those genome information to investigate the principles of life. As an organism evolves, its genome sequence changes through sudden mutations. Additionally, at the genome level, mutations called rearrangements, such as inversions, transpositions, and duplications, occur. The genome comparison system developed by the Sakakibara Lab calculates homologous sequences called anchors, which are conserved between species. If the genome is considered as a long text, then anchors can be thought of as words. Q. We're coming to understand the genomes of various organisms - not just humans, but monkeys, chimpanzees, bacteria, and so on. The first method used to analyze a genome is comparing it with the genomes of other organisms, to see where it's the same and where it's different. In that way, the content of the genome is decoded bit by bit, using computers. By contrast, in our method, we've developed software called Murasaki, which we also use to analyze large genomes, by comparing them with those of other organisms. The Sakakibara Lab uses a next-generation sequencer at Keio University, along with a cluster machine with hundreds of CPUs. In this way, the Lab is analyzing genome mutations that cause cancer, and the genome of the natto production strain Bacillus subtilis. Until now, genome analysis could only be done in national-scale projects. But now, next-generation sequencer development has made genome analysis possible in an ordinary lab. In a world-first achievement, the Sakakibara Lab has decoded the natto bacillus genome, through analysis using Keio's next-generation sequencer. Q. In the future, biology and the life sciences may become almost entirely information science and computer science. And in healthcare, that may enable us, for example, to predict whether individuals are susceptible to cancer, or to certain lifestyle-related diseases, by understanding their personal genome data. So, I think it's amply possible that we can make use of such information effectively, to help people live longer and be free from disease, by thinking about their lifestyle habits. Bioinformatics is only two decades old. In this field, many areas are still unknown. Professor Sakakibara, having been involved since the beginning, will continue tackling new, challenging research projects.

Bioinformatics Project Assistant Level II position at CSIR - Institute of Himalayan Bioresource Technology, Palampur (H.P.)

Thu, 17 May 2018 01:53:17 -0500

Walk-in-Interview is scheduled to be held on the date as mentioned below for selection of Suitable candidates in the following areas under the DBT sponsored project on purely temporary basis for the duration of the project(s) or till completion of projects whichever is earlier:

Project Title:
"Exploration of RBP-RNA interactions to reveal the post-transcriptional regulatory impact, and development of related tools and resource server".

Position: Project Assistant Level II (1 position)
Age : 28 years as on 14.06.2018
Salary : Rs.25,000/- P.M.

as per the funds provisions in the respective projects.

Eligibility Criteria :
Essential Qualifications: M.Sc. in Bioinformatics / Computational Biology or any area of Bioinformatics with 55% marks.

Essential Qualifications: M.Sc. in any area of Life Sciences with 55% marks with Diploma in any area of Bloinformatics.

Essential Qualifications: B.Tech. / M.Tech. in Bioinformatics / Computer Science with 55% marks.

Selection Procedure : Walk In Interview

Date : 14 June, 2018
Time : 9:30 A.M.
Venue : CSIR-IHBT Palampur (H.P.)

For more info refer to following doc:

http://ihbt.res.in/components/com_chronoforms5/chronoforms/uploads/Recruitment/20180516114701_Advt15_2018.pdf

Bioinformatics Infrastructure Facility

Sun, 15 Sep 2013 09:22:25 -0500

The Bioinformatics Infrastructure Facility has started working in the year 2007 at Presidency College, Kolkata. It is one of the premier institutes of India and boasts of a rich heritage and great alumni. The Infrastructure Facility has a dedicated team headed by Sayak Ganguli and ably supported by Priayanka Dhar. The coordinator of the facility is Abhijit Datta of the Post Graduate Department of Botany. The lab mainly focusses on the analysis of the RNA Induced Silencing Complex. Recent highlights include the presentation of a paper at the RNAi World Congress.

More @ http://bioinfo-presiuniv.edu.in/index.php