BOL: Related items

Bioinformatics Made Easy Search: Bioinformatics tools and run genomic analysis in the cloud

Rahul Nayak — Thu, 20 Aug 2015 02:21:20 -0500

InsideDNA makes hundreds of bioinformatics tools immediately available to run via an easy-to-use web interface and allows an accurate search across all functions, tools and pipelines.

With InsideDNA, you can upload and store your own genomic/genetic datasets in a limitless cloud space, and instantly analyze it with a powerful compute instance, without any tool installation or set up hassle.

More at https://insidedna.me/

Address of the bookmark: https://insidedna.me/

JRF Position – International Institute of Information Technology, Hyderabad

Mon, 24 Aug 2015 22:44:46 -0500

International Institute of Information Technology, Hyderabad

Center for Computational Natural Sciences and Bioinformatics

Junior Research Fellowship Position

Applications are invited for one JRF position in the following DAE sponsored project.

Title of the project: Insight into the Structure–Function Relationships of Chemically Modified Nucleic Acids: A Molecular Dynamics Simulations Study.

The above project involves theoretical modelling and simulations on chemically modified nucleic acids to investigate their structures, dynamics and thermodynamic stabilities.

Desired qualification: M.Sc. in Chemistry/ Bioinformatics; GATE/UGC-CSIR NET qualification.

To apply: Send detailed curriculum vitae by e-mail to the following address on or before 31 August 2015: Prof. U. Deva Priyakumar (devalab@iiit.ac.in), CCNSB, IIIT-H, Gachibowli, Hyderabad 500 032.

FLAS: fast and high throughput algorithm for PacBio long read self-correction.

Jit — Sat, 22 Jun 2019 12:16:39 -0500

FLAS, a wrapper algorithm of MECAT, to achieve high throughput long read self-correction while keeping MECAT's fast speed. FLAS finds additional alignments from MECAT prealigned long reads to improve the correction throughput, and removes misalignments for accuracy.

Address of the bookmark: https://github.com/baoe/flas

Cancer research database

Neel — Tue, 01 Sep 2015 17:36:31 -0500

Researchers in Andhra Pradesh have developed a database to identify genes that are common in tumours to provide their colleagues with easy access to insights into the genetic alterations in cancer.

The database, hosted at the Sri Venkateswara University (SVU) in Tirupati, will integrate information on cancer genes and markers with experimental data.

The Cancer Gene Markers Database (CGMD) is meant to help scientists better understand tumour genes and markers at a molecular level by combining data with literature on treatment regimen and recent advances in cancer therapy.

The database is free to access, and already includes 309 genes and 206 markers that correspond to 40 different human cancers. Accompanying literature comes from databases such as the United States’ National Center for Biotechnology Information and the Kyoto Encyclopedia of Genes and Genomes. It also includes experimental data from PubMed.

In a paper published last month in Nature Scientific Reports, the researchers from SVU’s department of animal biotechnology, describes the need for a database for different genes and markers along with their molecular characteristics and pathway associations.

LoReTTA, a user-friendly tool for assembling viral genomes from PacBio sequence data

Neel — Wed, 23 Jun 2021 07:54:53 -0500

LoReTTA (Long Read Template-Targeted Assembler), a tool designed for performing de novo assembly of long reads generated from viral genomes on the PacBio platform. LoReTTA exploits a reference genome to guide the assembly process, an approach that has been successful with short reads.

https://academic.oup.com/ve/article/7/1/veab042/6248116

Address of the bookmark: https://academic.oup.com/ve/article/7/1/veab042/6248116

Walk-in-interview for SRF, JRF posts at NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY New Delhi-110012

Thu, 10 Sep 2015 15:58:55 -0500

NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY New Delhi-110012

Eligible candidates may appear in Walk-in-interview for the positions of Senior Research Fellow in ICAR funded projects as follows

ICAR Network Project on Transgenics in Crops- Amelioration of cold induced sweetening in potato.

PI: Dr Debasis Pattanayak

SRF

Rs.25000/‐+ 30% HRA

September 29, 2015

Essential: Master’s Degree in Bioinformatics /Biotechnology/ Biochemistry/ life sciences with four years Bachelor’s Degree (or) Master’s Degree in Bioinformatics /Biotechnology/Biochemistry/ life sciences with NET qualification. .

Desirable: Experience in Bioinformatics and programming.

Age Limit: 35 years max. (5 years relaxation for SC/ST/OBC and woman candidates as per ICAR rules).

The post is purely temporary in nature and is co-terminus with the project. The interview will be held on September 29, 2015 at 10 AM at NRCPB, LBS Building, Pusa Campus, and New Delhi-110012. The candidates must bring four copies of biodata, original certificates, attested photocopies of each of the certificates and an attested copy of recent passport size photograph.

No TA/DA would be given for the appearance in interview. Only the candidates having essential qualifications would be entertained for the interviews

http://www.nrcpb.org/sites/default/files/NPTC%20walk%20in%20interview%20September%202015%20for%20NRCPB%20webpage%20D%20%20%20Pattanayak.pdf

Guest Faculty Job vacancies in Pondicherry University

Tue, 22 Sep 2015 23:50:16 -0500

Guest Faculty Job vacancies in Pondicherry University
Qualification : M.Phil. / M.Tech. / M.Sc. in Computer Science / Master of Computer Applications with a minimum of 55% of marks. Candidates with Ph.D. degree and NET/SLET qualification will be given preference as per UGC norms.

Desirable : Research or teaching experience in Bioinformatics and Computational Biology.
Honorarium : Rs. 1,000/- per lecture (subject to a maximum of 25,000/- per month)
How to apply

Interested eligible candidates may attend the 'walk-in' interview along with all original certificates and testimonials with a copy of their bio-data. Walk-in-interview will be held on 28.09.2015 (Monday), 03:00 P.M. at the office of the Dean, School of Life Sciences, Science Block — I, Pondicherry University, Puducherry — 605 014. Candidates reporting after 03:00 P.M. will not be entertained.

More at http://www.pondiuni.edu.in/news/walk-interview-guest-faculty-centre-bioinformatics

GraphMap - A highly sensitive and accurate mapper for long, error-prone reads

Jit — Wed, 07 Jun 2017 04:18:16 -0500

GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.html

Features

    Mapping position agnostic to alignment parameters.
    Consistently very high sensitivity and precision across different error profiles, rates and sequencing technologies even with default parameters.
    Circular genome handling to resolve coverage drops near ends of the genome.
    E-value.
    Meaningful mapping quality.
    Various alignment strategies (semiglobal bit-vector and Gotoh, anchored).
    Overlapping of reads for de novo assembly.
    Transcriptome mapping through internal construction of a transcriptome from a given genomic reference and a GTF file.
    ...and much more.

GraphMap is also used as an overlapper in a new de novo genome assembly project called Ra (https://github.com/mariokostelac/ra-integrate).
Ra attempts to create de novo assemblies from raw nanopore and PacBio reads without requiring error correction, for which a highly sensitive overlapper is required.

Currently, development of a new spliced-alignment mode for mapping RNA-seq reads is under way.
Description of the current effort as well as how to reach the experimental implementation can be found here: doc/rnaseq.md.

Address of the bookmark: https://github.com/isovic/graphmap

Bioinformatics Faculty at University of Pune

Fri, 13 Nov 2015 03:06:00 -0600

SAVITRIBAI PHULE PUNE UNIVERSITY
(Formerly University of Pune)
(APPOINTMENT OF TEACHING POSTS)

Accompaniment to the Advertisement No. 52 dated 10.11.2015 for various Teaching Positions purely on contract basis for a maximum period of five years in the various Departments/Centre of the University.

Last date for receipt of application in the University Office is 04.12.2015.

Associate Professor

Environmental Science

Institute of Bioinformatics & Biotechnology (IBB)

Microbiology

Assistant Professor

Biotechnology

Institute of Bioinformatics & Biotechnology (IBB)

Microbiology

More Info : http://collegecirculars.unipune.ac.in/sites/documents/Job%20Openings/advt-no-52-dt-10-11-2015-contract-positions.pdf

Reference-free prediction of rearrangement breakpoint reads

Neel — Thu, 08 Mar 2018 05:05:25 -0600

lideSort-BPR ( b reak p oint r eads) is based on a fast algorithm for all-against-all comparisons of short reads and theoretical analyses of the number of neighboring reads. When applied to a dataset with a sequencing depth of 100×, it finds ∼88% of the breakpoints correctly with no false-positive reads. Moreover, evaluation on a real prostate cancer dataset shows that the proposed method predicts more fusion transcripts correctly than previous approaches, and yet produces fewer false-positive reads. To our knowledge, this is the first method to detect breakpoint reads without using a reference genome.

https://github.com/ewijaya/slidesort-bpr

Address of the bookmark: https://code.google.com/archive/p/slidesort-bpr/