BOL: Related items

Linux operating system aimed at scientists

Pranjali Yadav — Mon, 19 Jan 2015 08:30:49 -0600

The Bio-Linux operating system is based on Ubuntu 14.04 LTS (Trusty Tahr), and the previous version was using Ubuntu 12.04 LTS. The developers only use LTS releases and that means that upgrades for this distro don't come along all that often.

This Linux distribution is aimed at scientists and it comes with more than 250 bioinformatics packages, 50 graphical applications and several hundred command line tools. And this is just skimming the surface of what the OS can do. Users have access to even more apps from the official repositories.

Bio-Linux is using an Ubuntu LTS version as its base

The fact that it uses Ubuntu LTS versions for the base is a good thing because it means its users won't have to worry about the support. Ubuntu 14.04 LTS is supported until 2019, so people who are using Bio-Linux shouldn't have a problem.

"An updated Bio-Linux 8 version is now on the website in ISO and OVA versions. As usual, there is no need to download this version if you are an existing user. All updates to existing packages will be applied to your system through the update manager and new packages are all available via apt-get or Synaptic," reads the announcement.

The changelog also states that a problem that was preventing the desktop to not start on VirtualBox has been fixed, the QIIME and Bowtie-Bio tools have been upgraded, the pandaseq paired end assembler has been added, and the beginners tutorial specific to Bio-Linux 8 has been improved.

Check out the official announcement for a complete list of changes and updates. You can download Bio-Linux 8.0.5 right now from Softpedia and give it a spin. It has the Unity desktop and now it runs very well in virtual environments.

Reference @ http://news.softpedia.com/news/Bioinformatics-Distro-Bio-Linux-8-0-5-Now-Available-for-Download-469867.shtml

UniAligner: a parameter-free framework for fast sequence alignment

Abhi — Fri, 08 Mar 2024 23:36:12 -0600

UniAligner (formerly, TandemAligner) is the first parameter-free algorithm for sequence alignment that introduces a sequence-dependent alignment scoring that automatically changes for any pair of compared sequences. Classical alignment approaches, such as the Smith-Waterman algorithm, that work well for most sequences, fail to construct biologically adequate alignments of extra-long tandem repeats (ETRs), such as human centromeres and immunoglobulin loci. This limitation was overlooked in the previous studies since the sequences of the centromeres and other ETRs across multiple genomes only became available recently.

More at https://www.nature.com/articles/s41592-023-01970-4

Address of the bookmark: https://github.com/seryrzu/unialigner

DNA Transcription (Advanced)

Thu, 29 Jan 2015 05:31:42 -0600

Transcription is the process by which the information in DNA is copied into messenger RNA (mRNA) for protein production. Originally created for DNA Interactive ( http://www.dnai.org ). TRANSCRIPT: The Central Dogma of Molecular Biology: "DNA makes RNA makes protein" Here the process begins. Transcription factors assemble at a specific promoter region along the DNA. The length of DNA following the promoter is a gene and it contains the recipe for a protein. A mediator protein complex arrives carrying the enzyme RNA polymerase. It manoeuvres the RNA polymerase into place... inserting it with the help of other factors between the strands of the DNA double helix. The assembled collection of all these factors is referred to as the transcription initiation complex... and now it is ready to be activated. The initiation complex requires contact with activator proteins, which bind to specific sequences of DNA known as enhancer regions. These regions may be thousands of base pairs distant from the start of the gene. Contact between the activator proteins and the initiation-complex releases the copying mechanism. The RNA polymerase unzips a small portion of the DNA helix exposing the bases on each strand. Only one of the strands is copied. It acts as a template for the synthesis of an RNA molecule which is assembled one sub-unit at a time by matching the DNA letter code on the template strand. The sub-units can be seen here entering the enzyme through its intake hole and they are joined together to form the long messenger RNA chain snaking out of the top.

Recombination detection tool

Jit — Tue, 02 Feb 2016 10:11:14 -0600

A program to detect recombination hotspots using population genetic data.

More at https://github.com/auton1/LDhot

Address of the bookmark: https://github.com/auton1/LDhot

RA Bioinformatics at CIBA

Mon, 02 Feb 2015 22:52:50 -0600

The following posts are to be filled purely on temporary basis under CIBA Component of “Centre for Agricultural Bioinformatics (CABin)” project at this Institute.

Research Associate – one post

Date & Time of Interview 18th Feb 2015 at 10.00 a.m.

Essential Qualification Ph.d / M.Sc./ M.Phil (Bioinformatics) With 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience in the relevant subject.

Desirable qualification: Experience in Java/ C++/ PHP/ PERL/ Python etc. based application development using Linux, Apache and MySQL/Oracle.

Emoluments Rs.24000/- p.m. + 30% HRA for Ph.D holders / Rs.23000/- p.m. + 30% HRA for Master Degree holders A consolidated pay Rs.25000/- per month.

Age Limit Maximum 40 years for men and 45 years for women as on date of interview. Age limits are relaxable for SC / ST / OBC candidates as per rules. Maximum 40 years for men and 45 years for women as on date of interview. Age limits are relaxable for SC / ST / OBC candidates as per rules.

Eligible Candidates may appear for the Walk-in-interview with original Certificate of Ph.D. / Master’s / relevant degree, passport size photograph and bio-data enclosing attested copies of educational qualification & experience certificates. TA / DA will not be paid for attending the interview.

Advertisement: www.ciba.res.in/attachments/jobs/CABin-3006.pdf

BBSplit: Read Binning Tool for Metagenomes and Contaminated Libraries

Poonam Mahapatra — Wed, 03 Jan 2018 00:25:27 -0600

BBSplit internally uses BBMap to map reads to multiple genomes at once, and determine which genome they match best. This is different than with ordinary mapping. If a genome (say, human) contains an exact repeat somewhere, reads mapping to it will be mapped ambiguously. But if you want to determine whether reads are mouse or human, it does not matter whether they map ambiguously within human, only whether they are ambiguous between human and mouse. BBSplit tracks this additional ambiguity information and decides how to use it based on the “ambig2” flag. The normal use of BBSplit is like Seal, either quantifying how many reads go to each reference, or splitting the reads into multiple output files, one per reference. BBSplit can only be run using references indexed with BBSplit, as they contain additional information regarding which sequences came from which reference file.

BBSplit is a tool that bins reads by mapping to multiple references simultaneously, using BBMap. The reads go to the bin of the reference they map to best. There are also disambiguation options, such that reads that map to multiple references can be binned with all of them, none of them, one of them, or put in a special "ambiguous" file for each of them. Paired reads will always be kept together.

For example, if you had a library of something that was contaminated with e.coli and salmonella, you could do this:

bbsplit.sh in=reads.fq ref=ecoli.fa,salmonella.fa basename=out_%.fq outu=clean.fq int=t

This will produce 3 output files:
out_ecoli.fq (ecoli reads)
out_salmonella.fq (salmonella reads)
clean.fq (unmapped reads)

In this case, "int=t" means that the input file is paired and interleaved. For single-end reads you would leave that out. For paired reads in 2 files, you would do this:
bbsplit.sh in1=reads1.fq in2=reads2.fq ref=ecoli.fa,salmonella.fa basename=out_%.fq outu1=clean1.fq outu2=clean2.fq

BBSplit is available here:
https://sourceforge.net/projects/bbmap/

The sensitivity can be raised to be equivalent to BBMap with these flags: "minratio=0.56 minhits=1 maxindel=16000"

JRF in Bioinformatics @ Tezpur University

Mon, 02 Feb 2015 22:50:14 -0600

Applications are invited for one temporary position of Junior Research Fellow (JRF) in the DBT Twinning Project entitled ‘In-Silico design and evaluation of sequences for γD crystalline protein’ under the Principal Investigator Dr. Anupam Nath Jha, Assistant Professor, Department of Molecular Biology and Biotechnology, Tezpur University.

Educational Qualification: Candidate must possess a M.Sc. in Bioinformatics/ Biotechnology/ Computer Science/ Physics/ Chemistry or B.Tech. or M.Tech. in Bioinformatics/ Biotechnology/ Computer Science from a recognized University/ Institute with minimum 60% marks or equivalent CGPA for general category and for SC/ST/OBC relaxation will be given as per Govt. of India rules.

Fellowship: Rs 16,000/- (Rupees sixteen thousand) only + 10% HRA per month for NET/GATE/BET/BINC qualified candidates. Rs. 12,000/- (Rupees twelve thousand) only + 10% HRA per month for other candidates.

Duration: Initially for a period of six (06) months which may be extended depending upon status of the project or until further order, whichever is earlier.

Age: Candidate should not be more than 28 years of age on the date of interview. Upper age limit may be relaxed up to 5 years in the case of candidate belonging to SC/ ST /OBC /Women / Physically Challenged.

Interested candidates may send their application on plain paper by post along with his/her educational qualifications, recent passport/stamp size photograph and contact phone number to Dr. Anupam Nath Jha, Principal Investigator, Department of Molecular Biology and Biotechnology, Tezpur University, Napaam – 784028 or mail it to anjha@tezu.ernet.in within 20 days of publication of this advertisement.

Only shortlisted candidates will be informed by e-mail or phone for an interview. N.B. No TA/DA will be paid for attending the interview. For further details contact: Dr. Anupam Nath Jha, Assistant Professor, Principal Investigator Department of Molecular Biology & Biotechnology Tezpur University, Napaam, Tezpur-784028 (Assam)

Advertisement: www.tezu.ernet.in/ProjectWalkin/Advt-ANJ-5323-A.pdf

lordFAST: sensitive and Fast Alignment Search Tool for LOng noisy Read sequencing Data

BioJoker — Tue, 27 Nov 2018 04:43:57 -0600

lordFAST is a sensitive tool for mapping long reads with high error rates. lordFAST is specially designed for aligning reads from PacBio sequencing technology but provides the user the ability to change alignment parameters depending on the reads and application.

lordFAST, a novel long-read mapper that is specifically designed to align reads generated by PacBio and potentially other SMS technologies to a reference. lordFAST not only has higher sensitivity than the available alternatives, it is also among the fastest and has a very low memory footprint.

Address of the bookmark: https://github.com/vpc-ccg/lordfast

RA / Research Associate Bioinformatics/Computational Biologist

Thu, 26 Feb 2015 03:44:24 -0600

The following posts are urgently required to be filled for the Department of Biotechnology, Government of India funded project entitled "Computational Core for Plant Metabolomics" administrated by Prof Indira Ghosh, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110 067

RA / Research Associate (Bioinformatics/Computational Biologist)
Salary: Rs. 23000/- + HRA
Vacancy: 1
Essential Qualifications: PhD, preferably in plant biotechnology/biochemistry/Bioinformatics with experience in analyzing high throughput omics-based data. Desired Skills: Prior experience in handling and guiding bioinformatics, metabolomics data, managing the project portal, preparing and filing reports etc. Will be expected to communicate with user groups and coordinate with LIMS group in Hyderabad and the Cheminformatics group in Delhi.

Address: Prof Indira Ghosh, room #12 Project Investigator, (Core Metabolomics) School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110 067.

Apply Details
Last Date: March 3rd 2015
Web/Notification URL http://www.jnu.ac.in/Career/currentjobs. htm

G-NEST: The Gene NEighborhood Scoring Tool

Neel — Fri, 25 Sep 2020 20:09:18 -0500

The Gene NEighborhood Scoring Tool (G-NEST) combines genomic location, gene expression, and evolutionary sequence conservation data to score putative gene neighborhoods across all window sizes. Primary author of final code = William F. Martin. Example data files are in the separate repository.

Address of the bookmark: https://github.com/dglemay/G-NEST