<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/30147?offset=1550 https://bioinformaticsonline.com/bookmarks/view/30698/itol-interactive-tree-of-life Tue, 31 Jan 2017 05:56:30 -0600 https://bioinformaticsonline.com/bookmarks/view/30698/itol-interactive-tree-of-life <![CDATA[iTOL: interactive Tree Of Life]]> Interactive Tree Of Life is an online tool for the display and manipulation of phylogenetic trees. It provides most of the features available in other tree viewers, and offers a novel circular tree layout, which makes it easy to visualize mid-sized tree (up to several thousand leaves). Trees can be exported to several graphical formats, both bitmap and vector based.

image
There are several pre-computed trees available for display, including the main Tree Of Life, described in Ciccarelli, et al., 2006. In addition to the precomputed trees, users can upload and display personal trees and data, using the 'Data upload' page or through a personal user account.

Address of the bookmark: http://itol.embl.de/

]]> Jit https://bioinformaticsonline.com/opportunity/view/30889/phd-program-in-computer-science-at-university-of-essex Sat, 11 Feb 2017 13:11:36 -0600 <![CDATA[PhD program in Computer Science at University of Essex]]> As part of the PhD program in Computer Science at University of Essex, I am looking for a PhD student in computational and synthetic biology.
The ideal candidate is interested in designing new biological design automation methods for genome scale projects and/or network modelling of genomic, transcriptomic and proteomic data.
Candidates interested in developing optimization algorithms for biological problems are encouraged to apply as well.
A summary of the research work in the lab can be found on o this page.

Candidates interested in the position should contact me in advance by email to: g.stracquadanio@essex.ac.uk

The deadline for the application is 28/02/2017; info about the application can be found on the Essex CSEE website.

]]> https://bioinformaticsonline.com/bookmarks/view/30966/maftools Thu, 16 Feb 2017 11:16:01 -0600 https://bioinformaticsonline.com/bookmarks/view/30966/maftools <![CDATA[MafTools]]> maftools - An R package to summarize, analyze and visualize MAF files. Introduction.

With advances in Cancer Genomics, Mutation Annotation Format (MAF) is being widley accepted and used to store variants detected. The Cancer Genome Atlas Project has seqenced over 30 different cancers with sample size of each cancer type being over 200. The resulting data consisting of genetic variants is stored in the form of Mutation Annotation Format. This package attempts to summarize, analyze, annotate and visualize MAF files in an efficient manner either from TCGA sources or any in-house studies as long as the data is in MAF format. Maftools can also handle ICGC Simple Somatic Mutation format.

maftools is on :point_right: bioRxiv :bowtie:

Please cite the below if you find this tool useful for you.

Mayakonda, A. and H.P. Koeffler, Maftools: Efficient analysis, visualization and summarization of MAF files from large-scale cohort based cancer studies. bioRxiv, 2016. doi: http://dx.doi.org/10.1101/052662

Address of the bookmark: https://github.com/PoisonAlien/maftools

]]> Jit https://bioinformaticsonline.com/bookmarks/view/31976/snpgenie Thu, 30 Mar 2017 17:38:02 -0500 https://bioinformaticsonline.com/bookmarks/view/31976/snpgenie <![CDATA[SNPGenie]]> SNPGenie is a Perl script for estimating evolutionary parameters, mainly from pooled next-generation sequencing (NGS) single-nucleotide polymorphism (SNP) variant data. SNP reports (acceptable in a variety of formats) much each correspond to a single population, with variants called relative to a single reference sequence (one sequence in one FASTA file). Just run the main script, snpgenie.pl, in a directory containing the necessary input files, and we take care of the rest! For the earlier version, see Hughes Lab Bioinformatics Resource.

Address of the bookmark: https://github.com/hugheslab/snpgenie

]]> Jit https://bioinformaticsonline.com/bookmarks/view/32129/lordec-a-hybrid-error-correction-program-for-long-pacbio-reads Mon, 10 Apr 2017 04:16:09 -0500 https://bioinformaticsonline.com/bookmarks/view/32129/lordec-a-hybrid-error-correction-program-for-long-pacbio-reads <![CDATA[LoRDEC: a hybrid error correction program for long, PacBio reads]]> LoRDEC is a program to correct sequencing errors in long reads from 3rd generation sequencing with high error rate, and is especially intended for PacBio reads. It uses a hybrid strategy, meaning that it uses two sets of reads: the reference read set, whose error rate is assumed to be small, and the PacBio read set, which is then corrected using the reference set. Typically, the reference set contains Illumina reads.


Usually, errors in PacBio reads include many insertions and deletions, and comparatively less substitutions. LoRDEC can correct errors of all these types.
After correction, a larger portion of the sequence of PacBio reads is usable for detection of region of similarity with other sequences, for aligning them to the contigs of an assembly, etc.

Why is LoRDEC different?

  • It is efficient and can process large read data sets, included from eukaryotic or vertebrate species, on a usual computing server, and even works on desktop/laptop computers.
  • It adopts a novel graph based approach: it builds a succinct De Bruijn Graph (DBG) representing the short reads, and seeks a corrective sequence for each erroneous region of a long read by traversing chosen paths in the graph.

Address of the bookmark: http://www.atgc-montpellier.fr/lordec/

]]> Jit https://bioinformaticsonline.com/blog/view/32358/list-of-goi-approved-peer-reviewed-bioinformatics-and-computational-biology-journals Tue, 25 Apr 2017 05:03:27 -0500 https://bioinformaticsonline.com/blog/view/32358/list-of-goi-approved-peer-reviewed-bioinformatics-and-computational-biology-journals <![CDATA[List of GOI approved peer reviewed bioinformatics and computational biology journals]]> Unfortunately, we now live in a world where the integrity of peer-reviewed journals is being threatened by the rise of the academic version of fake news – something many call “predatory publishing".  Mostly in academic publishing world, "predatory open access publishing" is an exploitative open-access publishing business model that involves charging publication fees to authors without providing the editorial and publishing services associated with legitimate journals (open access or not).

Nearly 20% of the such journals have a flashy impact factor and quick publication time, which are quick give-aways. Interestingly, under contact address, some journal websites do not even provide any address to contact. All of this has led to the emergence of a new and dark market of deceptive publishers that exploit the concept of open access and provide channels for “scientific journal” publication with little or no peer review. For a fee, they will publish almost anything – even if the study was fatally flawed. And these journals provide a forum that can be used as a channel to publish fraudulent “advocacy research.” You can find list of certain such publishers at "Beall's List" http://beallslist.weebly.com/

Keeping all these in mind, Government of India (GOI) decided to approved certain bioinformatics and computational biology journals for your research publication.

Following are the list of GOI validated and peer reviewed bioinformatics and computational biology journals:

NOTE:Each journal details are in following order Tittle\nSource\nSubject.
Point to remember: The list of journals are NOT sorted in any ascending or descending order.

If I missed any other GOI validated bioinformatics journal, then please report me in comment section.

Open Bioinformatics Journal
Scopus
Computer Science; Engineering; Medicine

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
WoS
BIOLOGY & BIOCHEMISTRY

Advances and Applications in Bioinformatics and Chemistry
Scopus
Biochemistry, Genetics and Molecular Biology Chemistry; Computer Science

Advances in Bioinformatics
Scopus
Biochemistry, Genetics and Molecular Biology; Computer Science; Engineering

Applied Bioinformatics
Scopus
Agricultural and Biological Sciences; Computer Science

BIOINFORMATICS
WoS & Scopus
COMPUTER SCIENCE

Bioinformatics and Biology Insights
Scopus
Biochemistry, Genetics and Molecular Biology; Computer Science; Mathematics

BMC BIOINFORMATICS
WoS & Scopus
COMPUTER SCIENCE

BRIEFINGS IN BIOINFORMATICS
WoS & Scopus
COMPUTER SCIENCE

Computational systems bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference
Scopus
Medicine

Current Bioinformatics
WoS & Scopus
COMPUTER SCIENCE

Current Protocols in Bioinformatics
Scopus
Biochemistry, Genetics and Molecular Biology

JOURNAL OF COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS
ICI
BIOLOGICAL SCIENCE

Journal of integrative bioinformatics
Scopus
Medicine

Journal of Proteomics and Bioinformatics
Scopus
Biochemistry, Genetics and Molecular Biology; Computer Science

Mathematical Biology and Bioinformatics
Scopus
Engineering; Mathematics

Trends in Bioinfprmatics
Scopus
Computer Science

Eurasip Journal on Bioinformatics and Systems Biology
Scopus
General; Computer Science; Mathematics; Medicine

Evolutionary Bioinformatics
WoS & Scopus
COMPUTER SCIENCE

Genomics, Proteomics and Bioinformatics
Scopus
Biochemistry, Genetics and Molecular Biology;Mathematics

IEEE/ACM Transactions on Computational Biology and Bioinformatics
Scopus
Biochemistry, Genetics and Molecular Biology;Mathematics

IEEE-ACM Transactions on Computational Biology and Bioinformatics
WoS
COMPUTER SCIENCE

International Journal of Bioinformatics Research and Application
Scopus
Biochemistry, Genetics and Molecular Biology; Medicine, Health

International Journal o f Data M ining and Bioinformatics
WoS & Scopus
COMPUTER SCIENCE

IPSJ Transactions on Bioinformatics
Scopus
Biochemistry, Genetics and Molecular Biology;Computer Science

Journal of Bioinformatics and Computational Biology
WoS & Scopus
COMPUTER SCIENCE

Journal of Clinical Bioinformatics
Scopus
Medicine

PLoS Computational Biology
WoS & Scopus
BIOLOGY & BIOCHEMISTRY

Reviews in Computational Chemistry
WoS & Scopus
CHEMISTRY

RSC Theoretical and Computational Chemistry Series
Scopus
Chemistry; Computer Science

Annual Reports in Computational Chemistry
Scopus
Chemistry; Mathematics

Computational and Structural Biotechnology Journal
Scopus
Biochemistry, Genetics and Molecular Biology; Computer Science

Computational and Theoretical Chemistry
WoS & Scopus
CHEMISTRY

COMPUTATIONAL BIOLOGY AND CHEMISTRY
WoS & Scopus
COMPUTER SCIENCE

COMPUTATIONAL CHEMISTRY
WoS
CHEMISTRY

Journal of Theoretical and Computational Chemistry
Scopus
Chemistry; Computer Science

Theoretical and Computational Chemistry
Scopus
Chemistry

Wiley Interdisciplinary Reviews: Computational Molecular Science
Scopus
Biochemistry, Genetics and Molecular Biology;Chemistry; Computer Science; Materials Science; Mathematics

Wiley Interdisciplinary Reviews- Computational Molecular Science
WoS
CHEMISTRY

Interdisciplinary sciences, computational life sciences
Scopus
Medicine

Interdisciplinary Sciences-Computational Life Science
WoS
Biology and Biochemistry

International Journal of Computational Biology and Drug Design
Scopus
Computer Science; Pharmacology, Toxicology and Pharmaceutics

]]> Jit https://bioinformaticsonline.com/bookmarks/view/32420/fastq-format Wed, 03 May 2017 04:23:32 -0500 https://bioinformaticsonline.com/bookmarks/view/32420/fastq-format <![CDATA[Fastq format]]> FASTQ format is a text-based format for storing both a biological sequence (usually nucleotide sequence) and its corresponding quality scores. Both the sequence letter and quality score are each encoded with a single ASCII character for brevity.

It was originally developed at the Wellcome Trust Sanger Institute to bundle a FASTA sequence and its quality data, but has recently become the de facto standard for storing the output of high-throughput sequencing instruments such as the Illumina Genome Analyzer.[1]

Address of the bookmark: https://en.wikipedia.org/wiki/FASTQ_format

]]> Jit https://bioinformaticsonline.com/opportunity/view/32496/bioinformatician-at-23andme Sat, 06 May 2017 17:57:39 -0500 <![CDATA[Bioinformatician at 23andMe]]> 23andMe’s mission is to help people access, understand, and benefit
from the human genome. We are a group of passionate individuals excited
to push the boundaries of what’s possible to help turn genetic insight
into better health and personal understanding.

Our Research Team prides itself on driving cutting edge, industrial-scale
science to make an impact that belies the team’s size, in an environment
and culture that fosters creativity, innovation, collaboration, and fun.

More than 80% of our customers consent to participate in research, and as
a result of their participation, we have one of the largest recontactable,
genotyped, and phenotyped research cohorts in the world. The scope and
breadth of our vision means that most of the methods and tools necessary
to unlock the potential of this unique resource for discovery have yet
to be developed.

Our science has garnered the respect of many members of the
broader scientific community. For a list of our publications, see
www.23andme.com/publications/for-scientists/.

Join us! Visit our Careers page (www.23andMe.com/careers) to learn more
about these open positions:

• Scientist, Research Communications
• Bioinformaticist
• Computational Biologist, Ancestry R&D
• Scientist/Senior Scientist, Statistical Genetics
• Scientist/Senior Scientist, Survey Methodology
• Scientist/Senior Scientist, Health R&D
• Senior Computational Biologist
• Biostatistician

pfontanillas@23andme.com

]]> https://bioinformaticsonline.com/bookmarks/view/35540/hinge-long-read-assembly-achieves-optimal-repeat-resolution Wed, 07 Feb 2018 09:40:22 -0600 https://bioinformaticsonline.com/bookmarks/view/35540/hinge-long-read-assembly-achieves-optimal-repeat-resolution <![CDATA[HINGE: Long-Read Assembly Achieves Optimal Repeat Resolution]]> Software accompanying "HINGE: Long-Read Assembly Achieves Optimal Repeat Resolution"

HINGE is an OLC(Overlap-Layout-Consensus) assembler. The idea of the pipeline is shown below.

image

Address of the bookmark: https://github.com/HingeAssembler/HINGE

]]> Jit https://bioinformaticsonline.com/opportunity/view/32716/jrfsrf-project-assistant-ii-recruitment-in-national-agri-food-biotechnology-institute-nabi Mon, 15 May 2017 05:37:52 -0500 <![CDATA[JRF/SRF / Project Assistant-II recruitment in National Agri-Food Biotechnology Institute (NABI)]]> National Agri-Food Biotechnology Institute
ADVT. No: 2017-Researcher (02)

JRF/SRF / Project Assistant-II recruitment in National Agri-Food Biotechnology Institute (NABI)

Essential Qualification: According to the DST (DST OM No.SR/S9/Z-09/2012 dated 21.10.2014) Post Graduate degree in basic science(M.Sc) in Bioinformatics/Computational Biology/Systems Biology/Information Technology with NET or Graduate degree in professional course with NET or Post Graduate Degree (M.Tech) in professional course in Bioinformatics/Computational Biology/Systems Biology/Information Technology. Desirable qualification/skills: 1) Should be proficient in programming in Perl/Python/R language etc. 2) Should have knowledge and skills for data mining in biological sequence database . sequence analysis tools/packages, NGS Analysis . 3) Should have knowledge and skills to work in linux environment and write shell scripts.

Age : 28 years

Hiring Process : Written-test
Job Role : Research/JRF/SRF
How to apply

Application should be sent to Administrative officer, National Agri-Food Biotechnology Institute, Knowledge City, Sector-81, Mohali so as to reach latest by 30.05.2017 before 5:30 pm.

More at http://www.nabi.res.in/Vacancies/NABI/ResearchFellowships/JRFSRFRA/2017/ADVT.%20No%202017Researcher%20(02)/ApplicationForm.pdf

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