BOL: Related items

Kevler: Reference-free variant discovery in large eukaryotic genomes

Jit — Tue, 28 Jan 2020 03:21:53 -0600

Welcome to kevlar, software for predicting de novo genetic variants without mapping reads to a reference genome! kevlar's k-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs), insertion/deletion variants (indels), and structural variants (SVs) simultaneously with a single simple model.

More at https://kevlar.readthedocs.io/en/latest/

https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf

Address of the bookmark: https://github.com/kevlar-dev/kevlar

Walk-ins for RA, JRF and SRF post in NBAGR, Karnal

Tue, 04 Aug 2015 18:50:07 -0500

ICAR-NATIONAL BUREAU OF ANIMAL GENETIC RESOURCES
Near Basant Vihar G.T. Road Bypass P.O. Box No.129,
Karnal-132001 (Haryana)

A walk-in-Interview is proposed to be held at National Bureau of Animal Genetic Resources, Karnal (Haryana)-132001 at 10:30 AM on 19.08.2015 to select One Research Associate & Three Senior Research Fellow as per details given below:

Name of the project & project period: ICAR Consortium Platform on Genomics.

The post duration is Upto 31.03.2017 or earlier & Co-terminus with the project.

Upto 31.03.2017 or earlier and Coterminus with the project

Essential Qualifications: PhD degree in Bioinformatics OR Master’s degree in Bioinformatics with 4 years/5 years of Bachelor’s degree having 1st division or 60% marks or equivalent overall grade point average, with at least two years of research experience as evidenced from Fellowship/Associateship

Desirable: Working experience in Next Generation Sequencing data analysis

Emolument: Research Associates may be fixed at a consolidated amount at one of the two pay levels given below depending upon the qualification & experience.

I. Research Associate – Master Degree Holders Rs. 38,000/ + HRA II. Research Associate – Doctoral Degree Holder Rs. 40,000/ + HRA

Senior Research Fellow: Two:- Bioinformatics One: - Biotechnology.

Duration of engagement: Upto 31.03.2017 or earlier and Coterminus with the project

Essential Qualifications: Master degree in any one of discipline/ Subjects- Biotechnology/Bioinformatics with 4 years/5 years of Bachelor’s degree.

Candidates having post graduate degree in above mentioned subjects with 3 years Bachelor’s degree should have NET qualification.

Desirable: The candidates should have zeal to work in R environment and NGS data analysis Emolument: Rs. 28,000/- per month + HRA as per admissibility

Age Limit: 1. 40 year for Men and 45 years for Women in case of RA on the date of Interview. 2. 35 year for Men and 40 years for Women in case of SRF on the date of Interview. (Relaxation for SC/ST/OBC and PHC as per GOI/ICAR rules) The above positions are purely temporary and will be filled in on Contractual basis. The selected candidate shall have no right/claim for regular appointment at this Institute, as the engagement is co-terminus with the Project/Scheme.

Interested candidates may attend Walk-in-Interview at 10:30 AM on 19.08.2015 alongwith original certificates and typed bio-data with one set of attested copies of each their certificates with passport size photograph. No TA/DA will be paid for attending the interview. All eligible candidates are advised to be present at least 30 minutes before scheduled time on the date of interview for completing necessary formalities. Canvassing in any form will disqualify the candidates.

More at http://210.212.93.85/Advertisiment3.pdf

useR!

Jitendra Narayan — Wed, 10 Jul 2013 14:41:49 -0500

The R project actively supports two conference series, organized regularly by members from the R community: useR! - providing a forum to the R user community - and DSC - a platform for developers of statistical software.

Recently useR! conference have been organized University of Castilla-La Mancha, Albacete, Spain.

http://www.edii.uclm.es/~useR-2013//

Research Associate (Biotechnology, Bioinformatics) In National Research Centre on Plant Biotechnology – New Delhi

Sun, 29 Mar 2015 21:13:14 -0500

Pay Scale:Rs.24000+ 30% HRA) for Ph.D. and for M. Sc Rs.23000/‐ (+ 30% HRA)
Educational Requirements:Ph.D. Degree in Bioinformatics/Molecular Biology/Biotechnology/ Genetics/allied sciences; or M. Sc in Bioinformatics/ Biotechnology/Life Sciences/ allied sciences with 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience as evidenced from Fellowship/ Associate ship
Experience Requirements:2 years research experience in bioinformatic data analysis/molecular biology techniques, and high throughput DNA/RNA sequencing, and transcriptome data analysis. Research paper with IF>1 will be desirable
+Details will be available at: http://www.nrcpb.org/sites/default/files/ICAR-NPTC%20DBT%20RA%20SRF%20interview%2024th%20March.pdf

No of Post: 01
How To Apply: Walk-in interview will be held on 24-03-2015 at 10:00 AM at NRCPB, New Delhi for filling Research Associate and Senior Research Fellow positions as mentioned below. The positions are temporary and are initially offered for a period of one year. Details such as emoluments, qualifications, application format etc., are given below. Desirous candidates should report for interview latest by 10:30 AM with the application in the prescribed format, copies and originals of certificates, thesis and documents. No TA/DA will be provided for attending the interview
General Instructions: The positions are purely temporary, on a contractual basis and are initially offered for one year. The period and duration of the scheme is tentative and the same may change. The person employed will have no right to claim employment or engagement in ICAR at the end of the contract period. No TA/DA will be provided for appearing in the interview. Persons already in employment should bring “No Objection Certificate” from their present employer. The candidates must bring with them five copies of the CV in the format given below along with original documents such as t h e s i s , degree certificates, marks sheets, publications, experience certificate etc. for verification and one set of self attested copy of all certificates. The decision of the Project Director of this Institute will be final and binding in all aspects. In case of any disputes, it will be resolved within the jurisdiction of New Delhi Court only.
Detail of Interview: 24-03-2015
Age Limit: 35 Years
Contact Details: Ph: 011-25848783; Fax: 25843984

RNA-Seq Data Pathway and Gene-set Analysis Workflows

Jit — Fri, 25 Oct 2013 08:00:48 -0500

It describe the GAGE (Luo et al., 2009) /Pahview (Luo and Brouwer, 2013) workflows on RNA-Seq data pathway analysis and gene-set analysis. The gage package (2.12.0) now includes a new tutorial, “RNA-Seq Data Pathway and Gene-set Analysis Workflows“.

First cover a full workflow from preparation, reads counting, data preprocessing, gene set test, to pathway visualization in about 40 lines of codes. The same workflow can be used for GO analysis or other types of gene set analysis too. We also describe joint workflows, i.e. to do gene-level analysis using one of the major RNA-Seq analysis tools, DEseq/DEseq2, edgeR, limma and Cufflinks, and feed the results into GAGE/Pahview for pathway analysis or visualization. All these workflows are implemented in R/Bioconductor.

The work ows cover the most common situations and issues for RNA-Seq data pathway analysis. Issues like data quality assessment are relevant for data analysis in general yet out the scope of this tutorial. Although we focus on RNA-Seq data here, but pathway analysis work ow remains similar for microarray, particularly step 3-4 would be the same. Please check gage and pathview vigenttes for details.

Note: You need to update to current release versions of R(3.0.2)/ Bioconductor(2.13) to use all the features.

Reference:

Please check it out:
http://bioconductor.org/packages/release/bioc/html/gage.html
http://bioconductor.org/packages/release/bioc/vignettes/gage/inst/doc/RNA-seqWorkflow.pdf

Research Associate Bioinformatics job position in NIPGR

Sun, 19 Apr 2015 14:55:19 -0500

NIPGR Recruitment 2015 – Apply for Research Associate Posts

NIPGR is commonly known as National Institute of Plant Genome Research. Recently, it’s great opportunity for those candidates who are interested to do job in NIPGR. National Institute of Plant Genome Research (NIPGR) had found to build a bridge between the branches of natural sciences and due this connection it is steeping on the heaps of success. Its objectives to preserve, research, production and the advancement in the trait are very clear and also being appreciated by the nation and had been contributing for the further enrichment of the institute. NIPGR had announced the recruitment to further make improvements and amendments by the young potential in their panel. The recruitment is being announced for the post is mentioned below. We are giving a complete information to applicants for find their eligibility as per desired post under NIPGR Recruitment 2015 project but if the candidates are not satisfied with this information then they can download an official advertisement of NIPGR recruitment 2015 from the link defined ahead under the head of reference.

NIPGR Recruitment 2015 for the 1 post of Research Associate: National Institute of Plant Genome Research (NIPGR) had instigated the progression of the recruitment and this process is linked thoroughly so as the 1 post of Research Associate. Applicants are associated and linked with the education to be PHD degree in the life science, biotechnology, bioinformatics or molecular biology. Applicants are associated with the dispatch of the application along with the required certificates so as on the date of 24th Feb 2015.

The recruitment notification and application @ http://www.nipgr.res.in/careers/vacancies_latest.php#

One page R survival guide !!

Rahul Nayak — Thu, 28 May 2015 21:10:12 -0500

There any many of the documents have been developed and tested by scientist around the world. I found this one really useful. The data used is available for download as data.zip.

Reference@http://www.datasciencecentral.com/profiles/blogs/one-page-r-a-survival-guide-to-data-science-with-r

Templates for the Data Scientist
1. A Template for Preparing Data: *OnePageR - *R
2. A Template for Building Models: *OnePageR - *R
Getting Started as a Data Scientist
1. Getting Started with R and Rattle: *Lecture - *Laboratory
2. Introducing and Interacting with R: *Lecture - *Laboratory
3. BasicR - OnePage(R) - Writing R scripts
Dealing With Data
1. Read Data into R: *OnePageR - *R
2. Explore and Summarise Data: *OnePageR - *R
3. Transform Data: *OnePageR - *R
4. Dealing with Dates and Time: (PDF, R) Dates and Time
5. Visualising Data with GGPlot2: *OnePageR - *R
6. Visualising Data with Maps *OnePageR - *R
7. Spatial (R) Spatial Analysis
8. Handling Big Data *OnePageR - *R
Descriptive Analytics
1. Cluster Analysis: *Lecture - *OnePageR - *R
2. Association Analysis: *Lecture
Predictive Analytics
1. Decision Trees: *Lecture - *OnePageR - *R - *Rattle
2. Ensembles of Decision Trees: *Lecture - *OnePageR - *R
3. SVM (R)
4. KernLab (R)
5. NeuralNetworks (R)
6. NNet (R)
Model Delivery
1. Evaluating Models: *OnePageR - *R
2. Evaluation (R)
3. Scoring (R)
4. PMML (R) Exporting Models for Deployment
Advanced Topics
1. Text Mining: *OnePageR - *R
Advanced R Topics
1. Plots (PDF, R) Miscellaneous Plots
2. Functions (PDF, R) Writing Functions in R
3. Parallel (PDF, R) Parallel Execution
4. Packaging (R) Pulling it Together into a Package
5. Doing R with Style: *OnePageR - *R
6. Literate Data Mining with KnitR: *Lecture - *OnePageR - *

BCIL Bioinformatics BITP Application !!

Pranjali Yadav — Fri, 17 Apr 2015 04:34:56 -0500

BCIL Bioinformatics BITP Application Form 2015 logoGrab latest Information! Biotech Consortium India Limited has announced a notification for offering admission in Biotech Industrial Training Program. The organization has invited online application from 7th April 2015 BCIL Admission 2015. BCIL has conducted an entrance exam which is scheduled on 20th June 2015. Candidates those who are looking for this program just go for it and don’t miss this opportunity.

To apply for Biotech Industrial Training Programme the candidates should have 50% marks in B.Tech/BE/M.Tech Degree in Bio technology, bio process technology and other related disciplines form any recognized institution. The organization has decided application fee of Rs.500/- for all candidates and that should be paid through demand draft. Applicants who satisfy the organization requirement, they can take their steps forward.

Candidates should submit the online application before 10th May 2015. After registering the online application you need to take the hard copy of it and send through post. Print out of this application should be reached before 15th May 2015. All the latest updates like selection process, exam syllabus and other related information are updated soon at the main URL of the department and aspirants should keep in touch with this site. Further details of BCIL Bioinformatics BITP Application Form 2015 are explained below.

Organization: Biotech Consortium India Limited

Website URL: www.bcil.nic.in

Location: New Delhi

Course Name: Biotech Industrial Training Program

Exam Name: BCIL Entrance Exam

Educational Details: Applicants should complete their B.Tech/M.Tech/BE programs in Neuro- Science, Agricultural, Bio technology, bio process technology and other related disciplines having 50% aggregate from any authorized university.

Application Fee: For all candidates application fee is Rs.500/- and it will be paid through Demand Draft drawn in favour of BCIL, New Delhi.

How to Apply: Candidates who are willing to apply for this program they can apply through online mode. Then send the hard copy of registered application form to through post.

Important Dates

Opening Date of Submission Online Application Form: 7h April 2015

Closing Date of Submission of Online Application Form: 10th May 2015

Last Date of Receipt of Application Form: 15th May 2015

Exam Date: 20th June 2015

More at http://bcil.nic.in/default.htm

Import R Data

Abhimanyu Singh — Wed, 12 Jul 2017 08:30:46 -0500

It is often necessary to import sample textbook data into R before you start working on your homework.

Excel File

Quite frequently, the sample data is in Excel format, and needs to be imported into R prior to use. For this, we can use the function read.xls from the gdata package. It reads from an Excel spreadsheet and returns a data frame. The following shows how to load an Excel spreadsheet named "mydata.xls". This method requires Perl runtime to be present in the system.

> library(gdata)                   # load gdata package
> help(read.xls)                   # documentation
> mydata = read.xls("mydata.xls")  # read from first sheet

Alternatively, we can use the function loadWorkbook from the XLConnect package to read the entire workbook, and then load the worksheets with readWorksheet. The XLConnect package requires Java to be pre-installed.

> library(XLConnect) # load XLConnect package
> wk = loadWorkbook("mydata.xls")
> df = readWorksheet(wk, sheet="Sheet1")

Minitab File

If the data file is in Minitab Portable Worksheet format, it can be opened with the function read.mtp from the foreign package. It returns a list of components in the Minitab worksheet.

> library(foreign)                 # load the foreign package
> help(read.mtp)                   # documentation
> mydata = read.mtp("mydata.mtp")  # read from .mtp file

SPSS File

For the data files in SPSS format, it can be opened with the function read.spss also from the foreign package. There is a "to.data.frame" option for choosing whether a data frame is to be returned. By default, it returns a list of components instead.

> library(foreign) # load the foreign package
> help(read.spss) # documentation
> mydata = read.spss("myfile", to.data.frame=TRUE)

Table File

A data table can resides in a text file. The cells inside the table are separated by blank characters. Here is an example of a table with 4 rows and 3 columns.

100   a1   b1
200   a2   b2
300   a3   b3
400   a4   b4

Now copy and paste the table above in a file named "mydata.txt" with a text editor. Then load the data into the workspace with the function read.table.

> mydata = read.table("mydata.txt")  # read text file
> mydata                             # print data frame
   V1 V2 V3
1 100 a1 b1
2 200 a2 b2
3 300 a3 b3
4 400 a4 b4

For further detail of the function read.table, please consult the R documentation.

> help(read.table)

CSV File

The sample data can also be in comma separated values (CSV) format. Each cell inside such data file is separated by a special character, which usually is a comma, although other characters can be used as well.

The first row of the data file should contain the column names instead of the actual data. Here is a sample of the expected format.

Col1,Col2,Col3
100,a1,b1
200,a2,b2
300,a3,b3

After we copy and paste the data above in a file named "mydata.csv" with a text editor, we can read the data with the function read.csv.

> mydata = read.csv("mydata.csv")  # read csv file
> mydata
  Col1 Col2 Col3
1  100   a1   b1
2  200   a2   b2
3  300   a3   b3

In various European locales, as the comma character serves as the decimal point, the function read.csv2 should be used instead. For further detail of the read.csv and read.csv2 functions, please consult the R documentation.

> help(read.csv)

Working Directory

Finally, the code samples above assume the data files are located in the R working directory, which can be found with the function getwd.

> getwd() # get current working directory

You can select a different working directory with the function setwd(), and thus avoid entering the full path of the data files.

> setwd("") # set working directory

Note that the forward slash should be used as the path separator even on Windows platform.

> setwd("C:/MyDoc")

Research Associate Bioinformatics job position in Indian Agricultural Statistics Research Institute (IASRI), Pusa, New Delhi

Tue, 14 Apr 2015 11:57:13 -0500

Indian Agricultural Statistics Research Institute is inviting applications from indian citizens for recruiting following posts:

Vacancies:
Research Associate-02
Age Limits:
Candidates age limit should be not more than 40 years as on date of interview.
Qualification:
Candidates should possess Ph.D in Bioinformatics/Agricultural Statistics/Statistics/Computer Science/Computer Application or equivalent.
Selection Process:
Selection will be based on interview.
How to Apply:
Eligible candidates may attend for interview along with application in prescribed format, recent passport size photograph pasted on the application form, bio-data, original certificates and self attested copies of relevant documents, all experience certificates, testimonials etc, held at Indian Agricultural Statistics Research Institute, Pusa, New Delhi on 18-04-2015 at 10:30 AM.
Last Date:
18-04-2015