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archive:computer_resources:assemblies [2011/05/31 20:28]
karplus [slug/] More on mitochondrial genome
archive:computer_resources:assemblies [2015/09/02 16:43]
ceisenhart ↷ Page moved from computer_resources:assemblies to archive:computer_resources:assemblies
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     * newbler-assembly2/​ is a second de novo assembly using Newbler, starting from the cleaned reads of newbler-clean1/​sff_cleaned/​no_Hyp.sff ​ It gets 42 contigs and 2,449,409 bases.     * newbler-assembly2/​ is a second de novo assembly using Newbler, starting from the cleaned reads of newbler-clean1/​sff_cleaned/​no_Hyp.sff ​ It gets 42 contigs and 2,449,409 bases.
     * newbler-assembly3/​ starts from the same sff file as newbler-assembly2/​ but raises the expected coverage to 60 (close to actual coverage). ​ It gets 41 contigs and 2,449,426 bases, still more than the old version of Newbler got after similar cleaning. ​ The contigs have been mapped to the finished genome (using megablast, blastn, blat, and pluck-scripts/​find-dna-differences). All the contigs map cleanly to the finished genome. If contigs map to more than one place, find-dna-differences may (incorrectly) report it as not mapping.     * newbler-assembly3/​ starts from the same sff file as newbler-assembly2/​ but raises the expected coverage to 60 (close to actual coverage). ​ It gets 41 contigs and 2,449,426 bases, still more than the old version of Newbler got after similar cleaning. ​ The contigs have been mapped to the finished genome (using megablast, blastn, blat, and pluck-scripts/​find-dna-differences). All the contigs map cleanly to the finished genome. If contigs map to more than one place, find-dna-differences may (incorrectly) report it as not mapping.
-    * map-colorspace3/​ uses the [[bioinformatic_tools:​pluck-scripts|pluck-scripts]] script map-colorspace to map the SOLiD mate-pair reads onto the contigs of the newbler-assembly3/​ run.  The intent is to find what contigs join to what other ones.  The numbering starts with 3, not 1, so that the map-colorspace directories correspond to the newbler-assembly directories that they are mapping onto.+    * map-colorspace3/​ uses the [[archive:bioinformatic_tools:​pluck-scripts|pluck-scripts]] script map-colorspace to map the SOLiD mate-pair reads onto the contigs of the newbler-assembly3/​ run.  The intent is to find what contigs join to what other ones.  The numbering starts with 3, not 1, so that the map-colorspace directories correspond to the newbler-assembly directories that they are mapping onto.
     * newbler-partial3/​ assembled the partially-assembled reads of newbler-assembly3/​ to see if any extended or connected contigs. ​ Seven of the 131 new contigs could be used to extend newbler-assembly3/​ contigs, but none spanned 2 contigs.     * newbler-partial3/​ assembled the partially-assembled reads of newbler-assembly3/​ to see if any extended or connected contigs. ​ Seven of the 131 new contigs could be used to extend newbler-assembly3/​ contigs, but none spanned 2 contigs.
     * newbler-assembly4/​ starts from the same sff file as newbler-assembly2/​ and newbler-assembly3/​ but adds the contigs of newbler-partial3/​ as extra reads. ​ This did not help, getting 45 contigs and 2,449,287 bases.     * newbler-assembly4/​ starts from the same sff file as newbler-assembly2/​ and newbler-assembly3/​ but adds the contigs of newbler-partial3/​ as extra reads. ​ This did not help, getting 45 contigs and 2,449,287 bases.
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     * so ran with filling -R to get 12k maxcontig.     * so ran with filling -R to get 12k maxcontig.
     * Then ran the scaffolding steps with 200bp insert size.     * Then ran the scaffolding steps with 200bp insert size.
-    * For all steps, used low default cutoffs since our 10x coverage +    * For all steps, used low default cutoffs since our 10x coverage is not high.  21k max scaffold size.   
-    * is not high.  21k max scaffold size.  ​Estimated +    * Estimated ​genome size is around 3G.  ​ 
-    * genome size is around 3G.  The 4 steps are+    * The 4 steps are
       - pregraph (3.5 to 4.5 hours for 30 to 60 cpus)       - pregraph (3.5 to 4.5 hours for 30 to 60 cpus)
       - contig (1.3 hours)       - contig (1.3 hours)
       - map (0.6 hours with 60cpus) - paired ends       - map (0.6 hours with 60cpus) - paired ends
       - scaff (1 hour with 60cpus)       - scaff (1 hour with 60cpus)
-  * barcode-of-life/​ attempt to assemble the mitochondrial genome, ​with particular emphasis ​on the gene for mitochondrial cytochrome c oxidase subunit I protein I (CO1), which is used for the "​barcode of life"​. ​[[http://​www.boldsystems.org/​|BOLD (barcode of life database)]] +  * barcode-of-life/​ attempt to assemble the mitochondrial genome, ​documented ​on its own page: [[computer_resources:assemblies:​mitochondrion]]  
-      Started with a search of SOAPdenovo-assembly1/k31/​soapSlug.scafSeq for scaffolds that matched examples from other mollusks+  * SOAPdenovo-assembly2Assembly with new + old Illumina and 454 data
-      Looked for 454 reads that extended or joined contigs in scaffold +    SOAPdenovo 1.05 - can handle gzipped fastq files. 
-      Repeated ​(sometimes using more sensitive searchesuntil no more credible scaffolds from the SOAPdenovo-assembly1/​k31/​ assembly nor 454 reads were found+    Runs with k27, 31, 47, and 63 so far.  47 was the best overall. ​ 63 got the longest contig ​(~14.9kb). 
-      * The 454 coverage ​of the mitochondrion is so slight as to be nearly useless, so instead we can iterate+    * Run parameters: 
-        - find all Illumina reads that map to the mitochondrial draft, using BWA +      ​- pregraph: 
-        - assemble them using SOAPdenovo. +        ​lowest count size of 2 (-d 2) 
-      * It looks like the Illumina reads have about 228x coverage of the mitochondrionbut coverage ​is patchyand it seems to be difficult to close the circle (at least with SOAPdenovo).  ​ +      - contig
-      * I have an almost complete mitochondrial genomeand I'm hoping that a few more iterations or some tricky assembly will close it into a clean circular genome.+        ​* solve tiny repeats on (-R) 
 +      ​- map: 
 +        ​* all default 
 +      ​scaff: 
 +        * intra-scaffold gap closure on (-F) 
 +    * Statistics for each kmer size assembly (using illumina and 454 data, using both for contig and scaffolding):​ 
 +      * k31: 
 +         * 1,298,372 scaffolds from 4,814,226 contigs sum up 632,​702,​276bp,​ with average length 487, 0 gaps filled 
 +         * 3,611,844 scaffolds&​singleton sum up 1,​133,​413,​022bp,​ with average length 313 
 +         ​* ​the longest is 10,340bp,​scaffold N50 is 442 bp, scaffold N90 is 148 bp 
 +      * k47: 
 +         * 871,819 scaffolds from 5,306,463 contigs sum up 530,​762,​874bp, with average length 608, 0 gaps filled 
 +         * 4,203,195 scaffolds&​singleton sum up 1,​296,​678,​043bp,​ with average length 308 
 +         * the longest is 14,​750bp,​scaffold N50 is 458 bp, scaffold N90 is 140 bp 
 +      * k63: 
 +         * 270,887 scaffolds from 4,022,505 contigs sum up 139,​720,​415bp,​ with average length 515, 0 gaps filled 
 +         * 3,710,532 scaffolds&​singleton sum up 690,​332,​560bp,​ with average length 186 
 +         * the longest is 14,​897bp,​scaffold N50 is 232 bp, scaffold N90 is 112 bp 
archive/computer_resources/assemblies.txt · Last modified: 2015/09/02 16:53 by 92.247.181.31