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archive:computer_resources:assemblies [2010/04/22 20:25]
karplus added newbler mapping assemblies
archive:computer_resources:assemblies [2010/04/30 23:01]
karplus added mention of trim9.joins for the homework.
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     * 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.
     * newbler-assembly5/​ starts from the same sff file as newbler-assembly2,​3,​4 but adds 45 Sanger reads totalling 44,187 bases from PCR reactions (mainly designed to test contig-join hypotheses). It gets 31 contigs and 2,451,007 bases.     * newbler-assembly5/​ starts from the same sff file as newbler-assembly2,​3,​4 but adds 45 Sanger reads totalling 44,187 bases from PCR reactions (mainly designed to test contig-join hypotheses). It gets 31 contigs and 2,451,007 bases.
-    * map-colorspace5/​ maps the SOLiD mate-pair data onto the contigs of newbler-assembly5/ ​ Other than some problems placing contig4 and the ece insertions, we can reconstruct some pretty large chunks of the genome from the mate-pair ends.+    * map-colorspace5/​ maps the SOLiD mate-pair data onto the contigs of newbler-assembly5/ ​ Other than some problems placing contig4 and the ece insertions, we can reconstruct some pretty large chunks of the genome from the mate-pair ends. This directory contains the trim9.joins file, which is needed for doing the **homework** to attempt to reconstruct the genome.
   * euler   * euler
     * euler-assembly1/​     * euler-assembly1/​
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   * mira   * mira
     * mira-assembly1/​     * mira-assembly1/​
- +  * velvet 
-    * velvet-assembly2/ 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:\\ 
-      * Final graph has 1755 nodes and n50 of 41723, max {contig size} 142286, total {genome size} 2468925. +      * Final graph has 2176 nodes {195 contigs over 62b) and n50 of 224364, max {contig size} 680241, total {genome size} 2481051, using 778249/​782604 reads 
-    * velvet-assembly3/ Assembling Pog Solid mate-paired ​26b reads with velvet in double-encoded colorspace. Not had time to optimize parameters yet.  Did get up to a max-contig size of 95k.+    * velvet-assembly2/ Assembling Pog Solid mate-paired ​25b reads with velvet in double-encoded colorspace ​(24 DE base reads). Not had time to optimize parameters yet.  Did get up to a max-contig size of 95k.
       * velveth_de out 21 -shortPaired /​campusdata/​BME235/​data/​Pog/​solid_run/​paired/​output/​doubleEncoded_input.de       * velveth_de out 21 -shortPaired /​campusdata/​BME235/​data/​Pog/​solid_run/​paired/​output/​doubleEncoded_input.de
       * velvetg_de out -exp_cov 50 -cov_cutoff 13 -ins_length 2200       * velvetg_de out -exp_cov 50 -cov_cutoff 13 -ins_length 2200
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 ===== slug/ ===== ===== slug/ =====
   * newbler-assembly1/​ first attempt at de novo assembly using Newbler, using all the reads from 454_run1 and 454_run2.  ​   * newbler-assembly1/​ first attempt at de novo assembly using Newbler, using all the reads from 454_run1 and 454_run2.  ​
-    * This assembly of 499,873 reads including 138,351,643 bases produced only 2,910,773 bases assembled into 8,963 contigs. ​  +    * This assembly of 499,873 reads including 138,351,643 bases produced only 2,910,773 bases assembled into 8,963 contigs
-    * From this low assembly number, I estimate the coverage to be about 0.043x and the genome size to be about 3.2E9 basepairs. (See the README file for the calculation.)  ​+    * The longest contig is 5783 bases.   
 +    * From the total number of bases in the assembly number, I estimate the coverage to be about 0.043x and the genome size to be about 3.2E9 basepairs. (See the README file for the calculation.)  ​
     * Much of the assembly is low-complexity regions (repetitions of short repeats (AT)*, (AAG)*, (AG)*, (AC)*, (AGT)*, (AGAT)*, (ACAT)*, (AAC)*, (AACG)*, ... ).  ​     * Much of the assembly is low-complexity regions (repetitions of short repeats (AT)*, (AAG)*, (AG)*, (AC)*, (AGT)*, (AGAT)*, (ACAT)*, (AAC)*, (AACG)*, ... ).  ​
     * The most common 14-mer that is not a repeat of a short k-mer is TAGTTTACAGCTTG (so that is what we should put on the T-shirt).     * The most common 14-mer that is not a repeat of a short k-mer is TAGTTTACAGCTTG (so that is what we should put on the T-shirt).
archive/computer_resources/assemblies.txt · Last modified: 2015/09/02 16:53 by 92.247.181.31