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archive:computer_resources:assemblies [2010/06/06 21:45]
galt adding velvet-assembly1a
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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     * euler-sr-assembly1/​     * euler-sr-assembly1/​
   * mira   * mira
-    * mira-assembly1/+    * [[computer_resources:​assemblies:​mira:​pog:​mira-assembly1|]] 
 +    * [[computer_resources:​assemblies:​mira:​pog:​mira-assembly2|]]
   * velvet   * velvet
     * velvet-assembly1/​ Assembling Pog 454 long reads with velvet. ​ After very poor results with default settings, eventually started to get good results by getting the expected coverage (60) and cutoff (13) correct. ​ It took a long time try different parameter settings. Also using the long reads as both short and long reads gave substantially better results. ​ Because these were long reads, we could set k up to 31.  Also tried with specially compiled version of velvet that could use k > 31, but can not report any improvement yet.  Given that the average read is 370b, it should have been able to support longer k-values. ​ Best results so far:\\     * velvet-assembly1/​ Assembling Pog 454 long reads with velvet. ​ After very poor results with default settings, eventually started to get good results by getting the expected coverage (60) and cutoff (13) correct. ​ It took a long time try different parameter settings. Also using the long reads as both short and long reads gave substantially better results. ​ Because these were long reads, we could set k up to 31.  Also tried with specially compiled version of velvet that could use k > 31, but can not report any improvement yet.  Given that the average read is 370b, it should have been able to support longer k-values. ​ Best results so far:\\
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       * Final graph has 3602 nodes and n50 of 4851, max 94854, total 1767903, using 28785664/​61262410 reads       * Final graph has 3602 nodes and n50 of 4851, max 94854, total 1767903, using 28785664/​61262410 reads
   * SOAPdenovo   * SOAPdenovo
-    * SOAPdenovo-assembly1/​ Assembling Pog 454 long reads with SOAPdenovo. ​ After being simply unable to get any version of the program to read a FASTA file despite documentation examples, I finally found a utility sff2fastq that made it possible to run SOAPdenovo on Pog 454 fastq. ​ I have not had time to optimize parameters yet.  The largest contig made with default params was just 4k.  Later raised cutoff to 12 and got maxcontig of 70k.  Could not run the scaffold step because ​it crashedprobably because it was written for short 52bp solexa ​reads and the long 454 reads are messing it up.+    * SOAPdenovo-assembly1/​ Assembling Pog 454 long reads with SOAPdenovo. ​ After being simply unable to get any version of the program to read a FASTA file despite documentation examples, I finally found a utility sff2fastq that made it possible to run SOAPdenovo on Pog 454 fastq. ​ I have not had time to optimize parameters yet.  The largest contig made with default params was just 4k.  Later raised cutoff to 12 and got maxcontig of 70k.  Could not run the scaffold step because ​there are no paired libs in this data set. 
 +  * Ray 
 +    * Ray-assembly1/ ​    
 + 
 +                        Assembling Pog 454 long reads with Ray, 
 +                        a parallel implementation of the OpenAssembler. 
 +                        This software seems to be Canadian. 
 +                        It took 3 hours to run, and the output ​was 
 +                        not very good, max contig size being about 12k. 
 +                        Sadly there are no parameters to tweak. 
 + 
 +  * ABySS 
 +    * abyss-assembly1/ ​     
 + 
 +                        Assembling Pog454 long reads with ABySS. 
 +                        The best params found were kmer size 36 and coverage cutoff 15 
 +                        #ABYSS -k 36 -c 15 both.fq 
 +                        #Total size: mean 1844.8 sd 3479.7 min 36 (1179) max 32566 (556) median 204 
 + 
 +  * PCAP 
 +    * pcap-assembly1/​ 
 + 
 +                        Assembled Pog 454 long reads with pcap default parameters. Sanger reads are not included. 
 +                        It was necessary to increase the minimum depth coverage for repeats before we got anything good. 
 +                        Assembled Pog 454 long reads with minimum depth coverage for repeats set to 200, and rest of the parameters unmodified.  
 +                        faSize contigs.bases info :  
 +                        2506151 bases (8 N's 2506143 real 2506143 upper 0 lower) in 219 sequences in 1 files 
 +                        Total size: mean 11443.6 sd 65849.3 min 56 (Contig174.1) max 611479 (Contig0.1) median 195 
 +                        N count: mean 0.0 sd 0.2 
 +                        U count: mean 11443.6 sd 65849.3 
 +                        Using Kevin'​s makefile, the blat alignments showed large contigs that looked basically correct, except for contig 8. 
 +                        However many of them overlapped, unlike the Newbler output. ​ This may have been due to a 
 +                        difference in the way Newbler and PCAP tried to handle the mixed population in the sample where 
 +                        3 inverting regions ​are found with various frequencies. 
 +                        Also, a cutoff should probably be supplied somewhere after the 17th largest contig because 
 +                        most of the rest of the 219 was small contigs probably representing noise.
  
  
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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 
-    * 1. pregraph (3.5 to 4.5 hours for 30 to 60 cpus) +      ​- ​pregraph (3.5 to 4.5 hours for 30 to 60 cpus) 
-    * 2. contig (1.3 hours) +      ​- ​contig (1.3 hours) 
-    * 3. map (0.6 hours with 60cpus) - paired ends +      ​- ​map (0.6 hours with 60cpus) - paired ends 
-    * 4. scaff (1 hour with 60cpus)+      ​- ​scaff (1 hour with 60cpus) 
 +  * barcode-of-life/​ attempt to assemble the mitochondrial genome, documented on its own page: [[computer_resources:​assemblies:​mitochondrion]]  
 +  * SOAPdenovo-assembly2/​ Assembly with new + old Illumina and 454 data. 
 +    * SOAPdenovo 1.05 - can handle gzipped fastq files. 
 +    * Runs with k27, 31, 47, and 63 so far.  47 was the best overall. ​ 63 got the longest contig (~14.9kb). 
 +    * Run parameters:​ 
 +      - pregraph: 
 +        * lowest count size of 2 (-d 2) 
 +      - contig: 
 +        * 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