BOL: Related items

Pango Lineage Analysis !

Abhi — Mon, 15 Nov 2021 03:38:29 -0600

The Pango nomenclature is being used by researchers and public health agencies worldwide to track the transmission and spread of SARS-CoV-2, including variants of concern. This website documents all current Pango lineages and their spread, as well as various software tools which can be used by researchers to perform analyses on SARS-COV-2 sequence data.

Address of the bookmark: https://cov-lineages.org/resources/pangolin/output.html

Project Scientist at National Agri-Food Biotechnology Institute (NABI)

Thu, 25 Aug 2016 05:49:36 -0500

Advt. No. NABI/8(18)/2012-PME-3
Project Scientist recruitment in National Agri-Food Biotechnology Institute (NABI)
Project Title : “Transfer and Evaluation of Indian Banana with Pro-Vitamin A (PVA) Constructs”
Essential qualifications: Ph.D. thesis submitted/awarded in any branch of life/plant sciences. Desirable qualification: a) Excellent academic record with research experience in area relevant to plant metabolic engineering, molecular biology and bioinformatics supported with high quality publications. b) Knowledge and experience of Chromatography and Mass Spectrometry based technological analysis of samples. c) Knowledge and experience of in-silico analysis such as trascriptomics, proteomics and genomics. c) Relevant research publications in reputed international journals with high impact factors.
No. of Post : 01
Age: 35 years
Emoluments: Rs.40,000/- per month.
How to apply
Walk-In-Interview on 29/08/2016 at National Agri-Food Biotechnology Institute, C-127, Industrial Area, Phase VIII, S.A.S. Nagar, Mohali-160 071 Email: siddharth@nabi.res.in

More at http://www.nabi.res.in/Vacancies/NABI/ResearchFellowships/JRFSRFRA/2016/NABI8(18)2012-PME-3/Advt.pdf

SeqCAT: Sequence Conversion and Analysis Toolbox

Neel — Fri, 14 Jun 2024 14:36:53 -0500

Your all-in-one solution for smooth conversion of sequence coordinates.

Designed for bioinformatics data analysis and daily laboratory work, SeqCAT simplifies sequence coordinate conversion. Extract gene and transcript information, manipulate sequences, and easily validate complex genetic events such as fusions with SeqCAT.

More at https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkae422/7683049?login=false

Address of the bookmark: https://mtb.bioinf.med.uni-goettingen.de/SeqCAT/home

Bioinformatics openings at Sri Venkateswara College, University of Delhi

Tue, 20 Sep 2016 05:43:24 -0500

Bioinformatics center

Sri Venkateswara College (University of Delhi)

New Delhi- 110021

1. Junior Research Fellow (1 Post)

Applications are invited for the post of Junior Research Fellow (JRF) under DST funded project which is purely temporary and is strictly for project duration only.

Title of project

No. of post

Remuneration (Rs.)

“Computational assisted Design and Synthesis of Novel Antimalarial Agents Embodying Structural Diversity Suitable for Protease Inhibitors”

(One)

Fellowship and HRA as per DST guidelines

Qualification

Post Graduate Degree in Basic Science (M.Sc./M.Tech in Bioinformatics/Biophysics) from a recognized University in India or abroad with at least 55% marks with NET qualification or Graduate Degree in Professional Course with NET Qualification or Post Graduate Degree in Professional Course.

Desirable

Fair knowledge of Computer Aided Drug Designing (CADD), Protein Structure modeling, molecular docking, and simulations are preferable.

2. Traineeship (1 Post)

Applications are invited for the position of traineeship in DBT-BTISnet funded Bioinformatics Infrastructure Facility (BIF) to carry out project work in the area of Bioinformatics.

Qualification

Applicant should be possess PG degree/PG diploma in Bioinformatics for traineeship. The traineeship is awarded for a period of six months from the date of joining and is not extendable. The selected candidates are entitled to receive a stipend of Rs. 8000/- per month (consolidate) for a period of 6 months.

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3. Studentship (1 Post)

Applications are invited for the position of Studentship in DBT-BTISnet funded Bioinformatics Infrastructure Facility (BIF) to carry out project work in the area of Bioinformatics.

Qualification

Candidates pursuing the Final Year of Post Graduate Degree in Basic Science (M.Sc.) or Post Graduate/ Graduate Degree in Professional Course (M.Tech/B.Tech) in Bioinformatics from a recognized University in India or abroad. The selected candidates are entitled to receive a stipend of Rs. 8000/- per month (consolidate) for a period of 6 months.

How to Apply?

Applicants are required to send applications on plain paper, stating the name, address, date of birth, educational qualification, experience and Institute, along with attested photocopies of mark sheets and certificates etc. by September 20, 2016 to:

The Coordinator

Bioinformatics Center, Sri Venkateswara College

Benito Juarez Road, Dhaula Kuan, New Delhi- 110021

Applications may also be sent by email to contact@bic-svc.ac.in. Strictly mention "Application for JRF, Traineeship or Studentship" in the subject line as the case may be.

Short listed candidates will be called for an interview. Canvassing in any form will be a disqualification. No TA/DA will be paid either for attending the interview or joining the post.

For more details visit our lab webpage: http://www.bic-svc.ac.in

poRe: an R package for the visualization and analysis of nanopore sequencing data

Jit — Thu, 23 Nov 2017 09:55:57 -0600

Motivation: The Oxford Nanopore MinION device represents a unique sequencing technology. As a mobile sequencing device powered by the USB port of a laptop, the MinION has huge potential applications. To enable these applications, the bioinformatics community will need to design and build a suite of tools specifically for MinION data.

Results: Here we present poRe, a package for R that enables users to manipulate, organize, summarize and visualize MinION nanopore sequencing data. As a package for R, poRe has been tested on Windows, Linux and MacOSX. Crucially, the Windows version allows users to analyse MinION data on the Windows laptop attached to the device.

Availability and implementation: poRe is released as a package for R at http://sourceforge.net/projects/rpore/ . A tutorial and further information are available at https://sourceforge.net/p/rpore/wiki/Home/

Contact:mick.watson@roslin.ed.ac.uk

Address of the bookmark: https://academic.oup.com/bioinformatics/article/31/1/114/2365693

COSMIC

Jit — Sat, 01 Oct 2016 15:04:10 -0500

The accurate description and annotation of structural variants can be complex. This is due to the different resolution that variants are reported from traditional cytogenetic coordinates down to the actual base pair positions. Furthermore, multiple rearrangements in a single area of the genome can make cataloguing and interpreting their effects challenging.

The Rearrangement Overview page describes the one or more breakpoints which make up a structural variant. A breakpoint is defined as a region or point where the sample sequence has altered from the reference sequence. Minimum interpretation is made of this data. One variant event can consist of one or multiple breakpoints. The Syntax (shown above the table) gives a detailed description of the variant and its location (e.g. chr11:g.36585230_76606619del, a deletion of roughly 40Mb on chromosome 11). Syntax is based on HGVS mutation nomenclature recommendations [http://www.hgvs.org/rec.html].

http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview

Address of the bookmark: http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview

Entrez Direct: E-utilities on the UNIX Command Line

Anjana — Wed, 19 Oct 2016 08:06:24 -0500

Entrez Direct (EDirect) is an advanced method for accessing the NCBI's suite of interconnected databases (publication, sequence, structure, gene, variation, expression, etc.) from a UNIX terminal window. Functions take search terms from command-line arguments. Individual operations are combined to build multi-step queries. Record retrieval and formatting normally complete the process.

EDirect also provides an argument-driven function that simplifies the extraction of data from document summaries or other results that are returned in structured XML format. This can eliminate the need for writing custom software to answer ad hoc questions. Queries can move seamlessly between EDirect commands and UNIX utilities or scripts to perform actions that cannot be accomplished entirely within Entrez.

Address of the bookmark: https://www.ncbi.nlm.nih.gov/books/NBK179288/

PGAP-X: Extension on pan-genome analysis pipeline

Rahul Nayak — Tue, 23 Jan 2018 11:41:43 -0600

PGAP-X is a microbial comparative genomic analysis platform with graphic interface. Serials of algorithms and methodologies have been developed and integrated to analyze and visualize genomics structure variation, gene distribution with different conservative levels, and genetic variation from pan-genome sight. At the same time, analytical result data from many other programs, including genome alignment result and orthologs clusters, are also supported to be further analyzed or visualized in PGAP-X. The workflow and feature snapshot in PGAP-X were shown as Fig.1 and Fig.2.

Address of the bookmark: https://pgapx.ybzhao.com/

IMPUTE2

Jit — Thu, 27 Oct 2016 11:21:44 -0500

IMPUTE2 is a computer program for phasing observed genotypes and imputing missing genotypes. Most people use just a couple of the program's basic functions, but we have also built up a collection of specialized and powerful options. If you are new to IMPUTE2, or indeed to phasing and imputation in general, we suggest that you start by learning the basics.

You should begin by downloading the program from here. You will need to choose the link that matches your computing platform and then follow the instructions for opening the download package.

Once you have done this, you will be ready to try some example analyses on the test data that are provided with the download. The section on Examples shows how to use the most common IMPUTE2 functions. We suggest that you work through these examples and try to understand what the elements of each command are doing. If you don't understand something or would like to know if the program can perform a function that isn't listed, you can read our FAQ or submit a question to our mail list.

When you have learned the basic functionality of the program, you can use several features of this website to prepare your own analysis:

Learn about best practices for imputation.
Download reference data that you can use to impute genotypes in your study.
Look through a complete list of program options.

Address of the bookmark: https://mathgen.stats.ox.ac.uk/impute/impute_v2.html

bpRNA: large-scale automated annotation and analysis of RNA secondary structure

Rahul Nayak — Wed, 23 May 2018 03:24:33 -0500

bpRNA, a novel annotation tool capable of parsing RNA structures, including complex pseudoknot-containing RNAs, to yield an objective, precise, compact, unambiguous, easily-interpretable description of all loops, stems, and pseudoknots, along with the positions, sequence, and flanking base pairs of each such structural feature.

The bpRNA code is written in perl and requires the Graph perl module. Several additional scripts for analysis are included. The source code is available at http://github.com/hendrixlab/bpRNA.

Address of the bookmark: http://github.com/hendrixlab/bpRNA