<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/11144?offset=880 https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources Thu, 12 Aug 2021 00:09:00 -0500 https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources <![CDATA[Interactive Bioinformatics Resources !]]> Learn how to use bioinformatics tools right from your browser.
Everything runs in a sandbox, so you can experiment all you want.

More at sandbox.bio

Address of the bookmark: http://sandbox.bio

]]> Jit https://bioinformaticsonline.com/bookmarks/view/44279/bioinformatics-training-material Sat, 18 Mar 2023 11:26:18 -0500 https://bioinformaticsonline.com/bookmarks/view/44279/bioinformatics-training-material <![CDATA[Bioinformatics Training Material !]]> Glittr is a curated list of bioinformatics training material.
All material is:

  • In a GitHub or GitLab repository
  • Free to use
  • Written in markdown or similar

NOTE: This list of courses is selected only based on the above criteria.
There are no checks on quality.

https://glittr.org/?per_page=25&sort_by=stargazers&sort_direction=desc

Address of the bookmark: https://glittr.org/?per_page=25&sort_by=stargazers&sort_direction=desc

]]> BioStar https://bioinformaticsonline.com/blog/view/44516/16srna-database-download Wed, 24 Apr 2024 04:33:15 -0500 https://bioinformaticsonline.com/blog/view/44516/16srna-database-download <![CDATA[16sRNA Database Download]]> Downloading 16S rRNA databases can be crucial for various bioinformatics analyses, especially in microbiome research. However, it's important to note that databases can vary based on your specific needs, such as the taxonomic coverage you require or the type of analysis you're performing. Here's a general guideline on how you can obtain 16S rRNA databases:

  1. NCBI (National Center for Biotechnology Information):

    • NCBI provides various databases related to genetic information, including 16S rRNA sequences.
    • You can access the 16S ribosomal RNA sequences from NCBI's Nucleotide database (https://www.ncbi.nlm.nih.gov/nucleotide/).
    • Perform a search using keywords like "16S rRNA" or specific bacterial names to find relevant sequences.
    • You can download sequences individually or in batches using the provided tools.

  2. GreenGenes:

    • GreenGenes is a widely used 16S rRNA gene sequence database.
    • You can access it at http://greengenes.secondgenome.com/.
    • GreenGenes provides precompiled databases for various purposes, including classification, alignment, and phylogenetic analysis.

  3. SILVA:

    • SILVA (https://www.arb-silva.de/) is another comprehensive database for ribosomal RNA (rRNA) sequences.
    • It covers not only 16S rRNA but also other ribosomal RNA sequences.
    • SILVA provides precompiled databases for various purposes, including taxonomic classification and alignment.

  4. Ribosomal Database Project (RDP):

    • RDP (http://rdp.cme.msu.edu/) is a curated database that offers 16S rRNA sequences.
    • It provides tools for sequence analysis and classification.
    • You can download sequences and taxonomy information from their website.

  5. QIIME (Quantitative Insights Into Microbial Ecology):

    • QIIME (https://qiime2.org/) is a widely used bioinformatics platform for microbiome analysis.
    • It provides tools for analyzing microbial communities, including processing 16S rRNA sequences.
    • QIIME often includes its own preprocessed 16S rRNA databases that can be used for analysis within the platform.

Before downloading any database, make sure to read the terms of use and citation requirements, as some databases may have specific usage policies. Additionally, consider the compatibility of the database with your analysis pipeline and software tools.

 

NCBI 16s RNA database location ftp://ftp.ncbi.nih.gov/blast/db/16SMicrobial.tar.gz

]]> LEGE https://bioinformaticsonline.com/researchlabs/view/852/queensland-centre-for-medical-genomics-grimmond-lab Sun, 14 Jul 2013 11:58:34 -0500 <![CDATA[Queensland Centre for Medical Genomics, Grimmond Lab]]> Queensland Centre for Medical Genomics

Research Area:
pancreatic cancer; ovarian cancer; prostate cancer; bowel cancer; brain cancer; endometrial cancer; breast cancer; personalised medicine; high-throughput genomics

Link @ http://www.imb.uq.edu.au/sean-grimmond

]]> https://bioinformaticsonline.com/opportunity/view/4725/complex-systems-from-physics-to-biology-october-15-16-2013-at-jnu-convention-center Mon, 23 Sep 2013 10:17:17 -0500 <![CDATA[Complex Systems: From Physics to Biology October 15-16 2013 at JNU Convention Center]]> The symposium intents to focus on complex systems arising in a variety of settings in physics and biology. In particular, applications of the concepts of physics to biological sciences will be the major theme of this meeting.

Selected Topics:

Cluster Dynamics
Non-equilibrium Statistical Mechanics
Forced Systems
Hamiltonian Dynamics
Synchronization & Control
Genomics & Systems Biology
Computational Neuroscience
Econophysics

More @ http://www.jnu.ac.in/Conference/SCS2013/

]]> https://bioinformaticsonline.com/researchlabs/view/863/rolland-lagan-lab Sun, 14 Jul 2013 12:57:57 -0500 <![CDATA[Rolland-Lagan lab]]> The Rolland-Lagan lab at the University of Ottawa is specializing in computational and developmental biology. We use a combination of experimental work, microscopy, image analysis and computer simulations to explore developmental mechanisms in two and three dimensions.

Research Area

Developmental biology, Computational biology, Simulation modeling, Image data analysis

Link @ http://mysite.science.uottawa.ca/arolland/index.html

]]> https://bioinformaticsonline.com/bookmarks/view/34618/mashmap-a-fast-and-approximate-software-for-mapping-long-reads-pacbioont-or-assembly-to-reference-genomes Tue, 12 Dec 2017 17:23:31 -0600 https://bioinformaticsonline.com/bookmarks/view/34618/mashmap-a-fast-and-approximate-software-for-mapping-long-reads-pacbioont-or-assembly-to-reference-genomes <![CDATA[MashMap: a fast and approximate software for mapping long reads (PacBio/ONT) or assembly to reference genome(s)]]> MashMap is a fast and approximate software for mapping long reads (PacBio/ONT) or assembly to reference genome(s). It maps a query sequence against a reference region if and only if its estimated alignment identity is above a specified threshold. It does not compute the alignments explicitly, but rather estimates a k-mer based Jaccard similarity using a combination of Winnowing and MinHash. This is then converted to an estimate of sequence identity using the Mash distance. An appropriate k-mer sampling rate is automatically determined given minimum local alignment length and identity thresholds. The efficiency of the algorithm improves as both of these thresholds are increased.

Address of the bookmark: https://github.com/marbl/MashMap

]]> Jit https://bioinformaticsonline.com/pages/view/36630/frequent-paired-end-reads-pe-2x100-mapping-command-lines Tue, 15 May 2018 08:59:29 -0500 https://bioinformaticsonline.com/pages/view/36630/frequent-paired-end-reads-pe-2x100-mapping-command-lines <![CDATA[Frequent Paired-end reads (PE 2x100) mapping command lines]]> bowtie2 -x hs37m -X 650 -q -1 r1.fq -2 r2.fq -S r12.bowtie2.sam

bwa aln hs37m.fa r1.fq > r1.sai && bwa aln hs37m.fa r2.fq > r2.sai \
&& bwa sampe hs37m r1.sai r2.sai r1.fq r2.fq > r12.bwa.sam

bwa bwasw ../index/bwa/hs37m.fa r12.fq > r12.bwasw.sam

gsnap -A sam -d hs37m r1.fq r2.fq > r12.gsnap.sam

novoalign -r Random -o SAM -f r1.fq r2.fq -i 500 50 -d hs37m-k14s3.novo > r12.novo.sam

smalt map -f samsoft -i 650 -o r12.smalt-k20s13.sam hs37m-k20s13 r1.fq r2.fq

stampy.py -g hs37m -h hs37m -o r12.stampy.sam -M r1.fq,r2.fq

soap -D hs37m.fa.index -a r1.fq -b r2.fq -l 32 -g 3 -u dummy -2 dummy -o r12.soap

]]> Jit https://bioinformaticsonline.com/bookmarks/view/38012/cosine-non-seeding-method-for-mapping-long-noisy-sequences Fri, 26 Oct 2018 00:41:59 -0500 https://bioinformaticsonline.com/bookmarks/view/38012/cosine-non-seeding-method-for-mapping-long-noisy-sequences <![CDATA[COSINE: non-seeding method for mapping long noisy sequences]]> Third generation sequencing (TGS) are highly promising technologies but the long and noisy reads from TGS are difficult to align using existing algorithms. Here, we present COSINE, a conceptually new method designed specifically for aligning long reads contaminated by a high level of errors.

Address of the bookmark: https://github.com/SUwonglab/COSINE

]]> Jit https://bioinformaticsonline.com/bookmarks/view/37545/ncbi-magic-blast Tue, 14 Aug 2018 18:11:11 -0500 https://bioinformaticsonline.com/bookmarks/view/37545/ncbi-magic-blast <![CDATA[NCBI Magic-BLAST]]> Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of RNA-seq, locating the candidate introns and adding up the score of all exons. This is very different from other versions of BLAST, where each exon is scored as a separate hit and read-pairing is ignored.

Magic-BLAST incorporates within the NCBI BLAST code framework ideas developed in the NCBI Magic pipeline, in particular hit extensions by local walk and jump (http://www.ncbi.nlm.nih.gov/pubmed/26109056), and recursive clipping of mismatches near the edges of the reads, which avoids accumulating artefactual mismatches near splice sites and is needed to distinguish short indels from substitutions near the edges.

 

Address of the bookmark: https://ncbi.github.io/magicblast/

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