Now we are doing the denovo assembly of marine organism with whole genome sequcing using sequel system. As we all know, the DNA extraction from marine organism is very difficult because of pollution and degradation. So is there any way to evaluate the genome size, heterozygus rate or genome repeat with DNA sequel data?
Unconfigured Ad
Collapse
X
-
-
Use multipass pacbio reads for self error correction and Kmer counting.
First try filtering out the multipass reads, and using those for kmer counting and self error correction.
Make sure to remove any mitochondrial/symbionts reads before doing the kmer counting. (Identify and complete the respective genome(s) first).
Get some good quality PCR-free illumina 2x250 reads or (BGIseq data if it works in your hands) and use it to confirm the kmer counting/self error correction/etc.
Short reads are very helpful for getting the contaminant(s)/symbionts genomes to a good draft stage and for filtering them out from the main dataset.
Usually such approach has to be done in the iterative fashion (with increasing amount of the input data after each iteration).
-
-
While a kmer analysis is going to be difficult with the raw pacbio data, it is possible to estimate the (effective) genome size from overlap statistics, either for the raw reads, the error corrected preassembled reads or by mapping the raw reads to the assembled contigs.
Run an initial assembly using a small seed read length, then plot the preassembled read overlap histogram.
Comment
-
Latest Articles
Collapse
-
by SEQadmin2
Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...-
Channel: Articles
06-02-2026, 10:05 AM -
-
by SEQadmin2
With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...-
Channel: Articles
05-22-2026, 06:42 AM -
ad_right_rmr
Collapse
News
Collapse
| Topics | Statistics | Last Post | ||
|---|---|---|---|---|
|
Started by SEQadmin2, 06-05-2026, 10:09 AM
|
0 responses
16 views
0 reactions
|
Last Post
by SEQadmin2
06-05-2026, 10:09 AM
|
||
|
Started by SEQadmin2, 06-04-2026, 08:59 AM
|
0 responses
34 views
0 reactions
|
Last Post
by SEQadmin2
06-04-2026, 08:59 AM
|
||
|
Started by SEQadmin2, 06-02-2026, 12:03 PM
|
0 responses
36 views
0 reactions
|
Last Post
by SEQadmin2
06-02-2026, 12:03 PM
|
||
|
Started by SEQadmin2, 06-02-2026, 11:40 AM
|
0 responses
23 views
0 reactions
|
Last Post
by SEQadmin2
06-02-2026, 11:40 AM
|

Comment