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• • Shruti Paniwala@shruti

  

  Genome basic stats http://www.cbs.dtu.dk/courses/genomics_course/Day3.pdf #Genome #Stats #Plot #R

  2825 days ago

• • Neelam Jha@neelam

  

  Bioinformatics courses AT https://www.physalia-courses.org/courses/course3/

  2679 days ago

• • Jit@jit.aber

  

  Perl courses https://www.gossland.com/perlcourse/default/index #Perl #Courses #Tutorial

  2543 days ago

• • Rahul Agarwal@raag

  

  Nice Short Review-Disease Biomarkers for Precision Medicine: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414969/ #Omics #Cancer #PrecisionMedice

  2326 days ago

• • Shruti Paniwala@shruti

  

  Finding coding regions in DNA sequences http://genome.crg.es/courses/Lisbon04/exercises/day2/Perl_programming/index.html #Perl #Genes #Script

  2168 days ago

• • Jit@jit.aber

  

  #Short #read #alignment: an #introduction https://www.sevenbridges.com/short-read-alignment-algorithms/

  2187 days ago

• • Shruti Paniwala@shruti

  

  Gene prediction tools http://genome.crg.es/courses/laCaixa05/Prediction/index.html #Genes #Predicts

  1976 days ago

• • Jit@jit.aber

  

  I recommend two technologies: long reads to get the genome right, short reads to get the bases right. #Genome #Assembly #Reads #LonfReads

  1957 days ago

• • Abhimanyu Singh@abhimanyu

  

  long #Pacbio sequence reads to #assemble a #bacterial genome, including correcting the assembly with short Illumina reads. http://sepsis-omics.github.io/tutorials/modules/cmdline_assembly/

  1868 days ago

• • BioJoker@biojoker

  

  #100DaysOfCode in Python https://training.talkpython.fm/courses/explore_100days_in_python/100-days-of-code-in-python #python #code #Learn

  1784 days ago

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