<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/42570?offset=270 https://bioinformaticsonline.com/blog/view/38765/list-of-tools-frequently-used-while-genome-assembly Tue, 22 Jan 2019 09:39:02 -0600 https://bioinformaticsonline.com/blog/view/38765/list-of-tools-frequently-used-while-genome-assembly <![CDATA[List of tools frequently used while genome assembly]]> List of tools frequently used while genome assembly:

I have used the following assemblers

I have used the following mappers

I have used the following polishing tools

I have used the following tools to assess genome assembly characteristics

If you have any ideas or superior tools we have missed please let us know in the comments.

]]> BioStar https://bioinformaticsonline.com/bookmarks/view/41559/dahak-benchmarking-and-containerization-of-tools-for-analysis-of-complex-non-clinical-metagenomes Thu, 09 Apr 2020 04:56:09 -0500 https://bioinformaticsonline.com/bookmarks/view/41559/dahak-benchmarking-and-containerization-of-tools-for-analysis-of-complex-non-clinical-metagenomes <![CDATA[Dahak: benchmarking and containerization of tools for analysis of complex non-clinical metagenomes.]]> Dahak is a software suite that integrates state-of-the-art open source tools for metagenomic analyses. Tools in the dahak software suite will perform various steps in metagenomic analysis workflows including data pre-processing, metagenome assembly, taxonomic and functional classification, genome binning, and gene assignment. We aim to deliver the analytical framework as a robust and reliable containerized workflow system, which will be free from dependency, installation, and execution problems typically associated with other open-source bioinformatics solutions. This will maximize the transparency, data provenance (i.e., the process of tracing the origins of data and its movement through the workflow), and reproducibility.

More at https://dahak-metagenomics.github.io/dahak/

Address of the bookmark: https://github.com/dahak-metagenomics/dahak

]]> BioStar https://bioinformaticsonline.com/pages/view/42275/frequent-parameters-for-bioinformatics-tools Tue, 27 Oct 2020 19:42:32 -0500 https://bioinformaticsonline.com/pages/view/42275/frequent-parameters-for-bioinformatics-tools <![CDATA[Frequent parameters for bioinformatics tools !]]>
Third party executable parameters and options.
 
Trimmomatic
 
“ILLUMINACLIP:...:2:30:10”
“LEADING:15”
“TRAILING:15”
“SLIDINGWINDOW:4:20”
“MINLEN:20”
“TOPHRED33”
 
Filtlong
--min_length 500
--min_mean_q 85
--min_window_q 65
 
FastQ Screen
--aligner bowtie2' (bwa for PacBio)
--subset 1000 (for PacBio)
 
SPAdes
--careful
--disable-gzip-output
--cov-cutoff auto
--phred-offset 33
 
HGAP
Pbalign.task_options.min_accuracy: 70
Pbalign.task_options.no_split_subreads: false
Genomic_consensus.task_options.min_confidence: 40
falcon_ns.task_options.HGAP_GenomeLength_str:
6000000
Pbcoretools.task_options.read_length: 0
Genomic_consensus.task_options.use_score: 0
Pbalign.task_options.min_length: 50
Pbalign.task_options.algorithm_options: --minMatch 12
--bestn 10 --minPctSimilarity 70.0
Pbalign.task_options.hit_policy: randombest
Pbcoretools.task_options.other_filters: rq >= 0.7
Pbalign.task_options.concordant: false
Genomic_consensus.task_options.min_coverage: 5
falcon_ns.task_options.HGAP_SeedCoverage_str: 30
falcon_ns.task_options.HGAP_AggressiveAsm_bool: false
Genomic_consensus.task_options.algorithm: best
falcon_ns.task_options.HGAP_SeedLengthCutoff_str: -1
Genomic_consensus.task_options.diploid: false
 
MeDuSa
-random 100
 
Prokka
--usegenus
--force
--addgenes
--rfam
--rawproduct
 
cmsearch (taxonomy, 16S)
--rfam
--noali
 
blastn (taxonomy, 16S)
-evalue 1E-10
 
blastn (MLST)
-ungapped
-dust no
-evalue 1E-20
-word_size 32
-culling_limit 2
-perc_identity 95
 
blastp (VF)
-culling_limit 2
 
RGI (ABR)
--input_type contig
 
bowtie2 (mapping)
--sensitive
 
minimap2 (mapping)
-a
-x map-ont
 
samtools mpileup (SNP detection)
-uRI
 
bcftools call (SNP detection)
--variants-only
--skip-variants indels
--output-type v
--ploidy 1
-c
 
SNPsift filter (SNP detection)
"( QUAL >= 30 ) & (( na FILTER ) | (FILTER = 'PASS')) &
( DP >= 20 ) & ( MQ >= 20 )"
 
SNPeff ann (SNP detection)
-nodownload
-no-intron
-no-downstream
-no SPLICE_SITE_REGION
-upDownStreamLen 250
 
bcftools consensus
(phylogenetic tree)
--haplotype 1
 
fasttreemp
-nt
-boot 100
 
roary
-e
-n
-cd 100
-g 100000
]]> BioStar https://bioinformaticsonline.com/bookmarks/view/43268/kmer-a-suite-of-tools-for-dna-sequence-analysis Wed, 18 Aug 2021 00:02:54 -0500 https://bioinformaticsonline.com/bookmarks/view/43268/kmer-a-suite-of-tools-for-dna-sequence-analysis <![CDATA[Kmer: a suite of tools for DNA sequence analysis]]> More at https://help.rc.ufl.edu/doc/Kmer

This also includes:

  • A2Amapper: ATAC, Assembly to Assembly Comparision tool:
    • Comparative mapping between two genome assemblies (same species), or between two different genomes (cross species).
  • Sim4db:
    • Spliced alignment of cDNA and genomic sequences, from the same (sim4) or related (sim4cc) species. Optimized for high-throughput batched alignment.
  • LEAFF:
    • LEAFF (ahem, Let's Extract Anything From Fasta) is a utility program for working with multi-fasta files. In addition to providing random access to the base level, it includes several analysis functions.
  • Meryl:
    • An out-of-core k-mer counter. The amount of sequence that can be processed for any size k depends only on the amount of free disk space.

Address of the bookmark: https://help.rc.ufl.edu/doc/Kmer

]]> BioStar https://bioinformaticsonline.com/pages/view/44352/bioinformatics-tools-for-genome-assembly Mon, 24 Jul 2023 07:04:26 -0500 https://bioinformaticsonline.com/pages/view/44352/bioinformatics-tools-for-genome-assembly <![CDATA[Bioinformatics tools for genome assembly !]]> There are numerous genome assembly tools available, each with its strengths and weaknesses. Here is a list of some widely used genome assembly tools as of my last update in September 2021:

  1. SPAdes: An assembler specifically designed for single-cell and multi-cell bacterial genomes, as well as small eukaryotic genomes.

  2. ABySS: A parallelized assembler for large genomes that uses de Bruijn graphs.

  3. Velvet: Another de Bruijn graph-based assembler optimized for short-read sequencing data.

  4. SOAPdenovo: A de Bruijn graph-based assembler designed for short reads, widely used for assembling large and complex genomes.

  5. MaSuRCA: A hybrid assembler that combines data from multiple sequencing technologies, such as Illumina and PacBio.

  6. Canu: A long-read assembler optimized for PacBio and Oxford Nanopore sequencing data.

  7. Flye: A long-read assembler suitable for bacterial and small eukaryotic genomes.

  8. SMARTdenovo: An assembler designed for long reads, particularly suited for PacBio data.

  9. SPAdes Long Read (SPAdesLR): An extension of SPAdes for long-read data, such as those from PacBio or Nanopore.

  10. Minia: An assembler optimized for low memory consumption, suitable for small and medium-sized genomes.

  11. Unicycler: A hybrid assembler that combines short and long reads for circular bacterial genome assembly.

  12. wtdbg2: A de Bruijn graph assembler for long reads, efficient for very large genomes.

  13. Shasta: A long-read assembler that uses the Overlap-Layout-Consensus approach, suitable for PacBio and Nanopore data.

  14. Sparc: An assembler designed to handle noisy long reads from Nanopore sequencing.

  15. CANA: An assembler for metagenomic data, particularly for complex and diverse microbial communities.

  16. Ra Assembler: A metagenome assembler for long reads, designed for highly complex metagenomic samples.

Please note that the field of bioinformatics is constantly evolving, and new assembly tools may have emerged since my last update. Additionally, the performance of these tools can vary depending on the characteristics of the sequencing data and the genome being assembled. When selecting an assembly tool, consider the specific requirements of your project, the available data types, and the computational resources at your disposal. Always refer to the respective tool's documentation and publications for the most up-to-date information and recommendations.

]]> BioStar https://bioinformaticsonline.com/pages/view/1130/bioinformatics-courses-around-the-world Fri, 19 Jul 2013 02:43:46 -0500 https://bioinformaticsonline.com/pages/view/1130/bioinformatics-courses-around-the-world <![CDATA[Bioinformatics Courses Around the World]]> Bioinformatics Courses around the world


Here is the list Bioinformatics courses offered around the world. Reasons for constructing this page are:

  1. To show the extent of growth of this new discipline
  2. To provide a resource for students, and academics and
  3. To access notes on the subject to allow some brief comparisons between courses.

The graduate courses outlined in the table mainly exist as a coursework component of an MSc or PhD degree. Of course, many institutions will also have pure research programs in Bioinformatics at the Hons, MSc, or PhD level and will not have a 'coursework component'. These research programs may not always reflect the main research program of the institution since the research depends upon the interests of a particular individual or small team within that institution. It is difficult to track these individual research programs. Consequently, we have not included all institutions with a bioinformatics research project. Bioinformatics is an interdisciplinary subject and this is reflected in the fact that the courses are offered by departments or schools as diverse as: computer science, biochemistry, molecular biology, microbiology, engineering, and mathematics. Similarly, bioinformatics may also be known by other names such as: computational biology, biocomputing, molecular informatics, computational molecular biology, biological information theory, molecular phylogenetics, and molecular bioinformatics.

Bioinformatics University Courses

US

Canada

Europe

UK

Sweden

Norway

Germany

Finland

France

Denmark

Belgium

Switzerland

Austria

Israel

New Zealand

Australia

Asia & South Pacific

Africa


Others:


Advanced Courses and Papers

 

If your university is not there in the list, please let me know info_at_bioinformaticsonline.com

]]> Jitendra Narayan https://bioinformaticsonline.com/blog/view/33629/list-of-universities-offering-bachelor-master-or-phd-bioinformatics-degree-in-malaysia Thu, 22 Jun 2017 01:34:02 -0500 https://bioinformaticsonline.com/blog/view/33629/list-of-universities-offering-bachelor-master-or-phd-bioinformatics-degree-in-malaysia <![CDATA[List of universities offering Bachelor, Master or PhD bioinformatics degree in Malaysia]]> Bioinformatics is a newly emerging interdisciplinary research area, which may be defined as the ―interface between biological and computational sciences. Most of the Bioinformatics work that is done can be described as analyzing biological data, although a growing number of projects deal with the organization of biological information. The global Bioinformatics industry has grown at a double-digit growth rate in the past and is expected to follow the same pattern in the next four years. US remains the largest market in the world, but Asia-Pacific countries, particularly India and China, are witnessing the fastest growth and are anticipated to emerge as the dominating forces in future. The Comparison of Bioinformatics Industry between Malaysia, India and other countries are discussed in this http://ijbssnet.com/journals/Vol.%202_No._10;_June_2011/11.pdf paper.

Bioinformatics is full of opportunities. The sector is poised to open new avenues for the other related sectors also. But the biggest opportunity area in the Bioinformatics market will be in the drug discovery sector. Reduction of both the cost and time taken to discover a new drug due to fast development in the Bioinformatics tools and software zone is also making drug discovery an attractive field to venture in. Malaysian bioinformatics growth and future are discuss in this https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723929/ paper. Keeping all such inportance in mind, following universities in Malaysia offering bioinformatics cources:

3 program(s) at AIMST University, Malaysia

Master of Science in Biotechnology (MSc) - Bioinformatics by Research

Master of Science (M.Sc) in Medical Microbiology (Bioinformatics) by Research

Doctor of Philosophy in Biotechnology (PhD) - Bioinformatics by Research

 

1 program(s) at INTI International University and Colleges, Malaysia

American Degree Transfer Program (Biosciences) in Bioinformatics

 

3 program(s) at Management and Science University (MSU), Malaysia

Master in Bioinformatics (By Research)

PhD in Bioinformatics

Bachelor in Bioinformatics (Hons)

 

1 program(s) at Multimedia University (MMU), Malaysia

Bachelor of Science (Honours) Bioinformatics

 

1 program(s) at Universiti Industri Selangor (UNISEL) Bestari Jaya Campus, Malaysia

Bachelor of Bioinformatics (Hons)

 

2 program(s) at Universiti Malaysia Sabah (UMS), Malaysia

PhD - Doctor of Philosophy in Bioinformatics (By Research)

MSc - Master of Science in Bioinformatics (By Research)

 

6 program(s) at Universiti Putra Malaysia (UPM), Malaysia

MSc - Master of Science in Bioinformatics by Research

Master of Science in Bioinformatics and System Biology by Research

Master of Science (M.Sc) in Bioinformatics and Systems Biology (With Thesis)

PhD - Doctor of Philosophy in Bioinformatics by Research

PhD - Doctor of Philosophy in Bioinformatics and Systems Biology (With Thesis)

PhD - Doctor of Philosophy in Bioinformatics and System Biology by Research

 

1 program(s) at Universiti Selangor (UNISEL), Malaysia

Bachelor of Bioinformatics (Hons)

 

3 program(s) at Universiti Teknologi Malaysia (UTM), Malaysia

M.Sc - Master of Science (Bioscience) in Bioinformatics Research Group (BIRG) By Research

PhD - Doctor of Philosophy (Bioscience) in Bioinformatics Research Group (BIRG) By Research

Bachelor of Computer Science (BioInformatics)

 

4 program(s) at University of Malaya (UM), Malaysia

MSc - Master of Science in Bioinformatics by Research

Master in Bioinformatics by Coursework

PhD - Doctor of Philosophy in Bioinformatics by Research

Bachelor of Science (BSc) in Bioinformatics

 

3 program(s) at Perdana University, Malaysia

Master in Bioinformatics (By Research)

PhD in Bioinformatics

Bachelor in Bioinformatics (Hons)

 

3 program(s) at Monash University, Malaysia

Master in Bioinformatics (By Research)

PhD in Bioinformatics

Bachelor in Bioinformatics (Hons)

 

The real bioinformatics scope lies if there are research labs which work in this field. One has to take account of that. If so then try to get information of those labs and visit them to get a hang of the work they pursue. For detail Bioinformatics in Malaysia: Hope, Initiative, Effort, Reality, and Challenges are discussed in https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723929/ paper.

]]> sahabuddin https://bioinformaticsonline.com/opportunity/view/38950/assistant-professor-job-recruitment-in-university-of-pune-on-temporary-basis Mon, 11 Feb 2019 22:32:48 -0600 <![CDATA[Assistant Professor job recruitment in University of Pune on temporary basis]]> Assistant Professor job recruitment in University of Pune on temporary basis

No. of Post : 01

Department : Institute of Bioinformatics and Biotechnology

Qualification : (i) Good academic record as defined by the concerned University with at least 55% marks (or an equivalent grade in a point scale wherever grading system is followed) at the Master's degree level in a relevant subject from an Indian University, or an equivalent degree from an accredited foreign University. (ii) Besides fulfilling the above qualifications, the candidate must have cleared the National Eligibility Test (NET) conducted by the UGC, CSIR or similar test accredited by the UGC like SLET / SET. (iii) Candidates, who are, or have been awarded a Ph.D. degree in accordance with the University Grants Commission (Minimum Standards and Procedures for award of Ph.D. Degree) Regulations, 2009, shall be exempted from the requirement of the minimum eligibility condition of NET/SLET/SET. (iv) NET/SLET/SET shall not be required for such Master's Degree Programmes in disciplines for which NET/SLET/SET accredited test is not conducted.

Pay Band : Rs. 15,600 - Rs. 39,100/- with AGP of Rs.6,000

Application Fee : Application fees of Rs. 600/- (for Open Category) and Rs. 300/- (for candidates belonging to reserved categories),should be paid by the Challan (at Bank of Maharashtra/HDFC Bank)

More at http://collegecirculars.unipune.ac.in/sites/documents/Job%20Openings/ATNF161%20IBB_05.022019.pdf

]]> https://bioinformaticsonline.com/opportunity/view/42227/two-faculty-positions-at-national-taiwan-university-taipei-taiwan Thu, 22 Oct 2020 04:53:12 -0500 <![CDATA[Two Faculty Positions at National Taiwan University, Taipei, Taiwan]]> The Department of Agronomy at National Taiwan University, Taipei, Taiwan,
invites applications for two full-time faculty positions beginning August
1, 2021 at the rank of Assistant Professor, Associate Professor or
Professor in Biometry and Bioinformatics and Plant Breeding and Genetics,
respectively.

A qualified candidate should hold a Ph.D. in a relevant field including
Agronomy, Statistics, Bioinformatics, Plant Breeding, Plant Genetics or
Quantitative Genetics. For the position in Biometry and Bioinformatics, the
applicants capable of teaching fundamental statistics/bioinformatics
courses or with experience in crop science are preferable; for Plant
Breeding and Genetics, the applicants capable of teaching fundamental plant
breeding courses, with experience in crop breeding, or training in
quantitative genetics are preferred.

The application package should include two letters of reference and five
printed copies of the following documents (1) curriculum vitae, (2)
publication list, (3) undergraduate and graduate transcripts if applying
for the Assistant Professorship, (4) a photocopy of the Ph.D. diploma, (5)
teaching plan and course outline or syllabus (6) research proposal, (7) a
cover letter indicating the rank to apply, and one representative original
research article which was published by the applicant being the 1st or
corresponding author in an SCI peer-reviewed journal within 5 years (after
August 1, 2016); a copy of doctoral dissertation can be the representative
article if applying for the Assistant Professorship; (8) reprints of the
selected publications published within 7 years (after August 1, 2014).

The application package should mail to the Chair, Dr. Li-yu Daisy Liu
(lyliu@ntu.edu.tw), in the Department of Agronomy, National Taiwan
University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan, before
December 15, 2020 for full consideration.

]]> https://bioinformaticsonline.com/opportunity/view/36299/faulty-post-at-maharshi-dayanand-university-rohtak Mon, 23 Apr 2018 05:07:57 -0500 <![CDATA[FAULTY POST AT MAHARSHI DAYANAND UNIVERSITY, ROHTAK]]> ADVT. NO. PR-28 of 2018

Online applications are invited from eligible & interested candidates for the following Teaching/Non-Teaching posts. Applications must be submitted online from 10.4.2018 to 30.4.2018 through the link available on the university website www.mdurohtak.ac.in

Applicants must read the instructions carefully before proceeding to fill the form. The detailed information/instructions/eligibility criteria are available on the university website www.mdurohtak.ac.in

Budgeted:

Teaching posts:-

Botany: Assistant Professor-1(UR); Biochemistry: Associate Professor-1(UR), Assistant Professor-2(UR-1, SC-1); Centre for Biotechnology: Assistant Professor-1(UR); Centre for Bioinformatics: Associate Professor-1(UR), Assistant Professor-1(SC); Chaudhary Ranbir Singh Institute of Social & Economic Change: Assistant Professor-1(UR); Computer Science & Applications: Assistant Professor-4(UR-3,SC-1); Environmental Science: Assistant Professor-1(UR); Food Technology: Assistant Professor:-2(UR-1, SC-1), Genetics: Professor-1(UR); Microbiology: Assistant Professor-1(SC); Pharmaceutical Sciences: Assistant Professor-1{ESM(UR)}; Physics: Assistant Professor-5{UR-1, SC-2, BC(A)-1, ESM(UR)-1}

]]>