Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • HenrivdGeest
    Member
    • Feb 2012
    • 16

    fastest way to 'parse' fasta or fastq?

    I am looking for a real (High performace computing / HPC) fast fasta or fastq parsing program. I just want the most simple statistics imaginable:
    - number of reads
    - total nr of bases.
    Other stuff like average length/ATCG composition is nice, but not required.

    I searched the software page, tried some packages, wrote my own parsers but they are all slow.
    I am looking for something in C code, which can be super fast I hope.
    I also tried this simple bash code:
    " time grep -v '^>' ./test.fa | wc -m -l"

    which is 'fast' ( 30 seconds to scan 1 GB fasta (file in memory)
    My simple python script takes over a minute to scan this file. But I hope this can be done faster, or all in one script.


    If you want to scan gigabytes of files, it would be nice to have a very fast parser.

    Anyone who is aware of such program? Or, what do you think is the fastest program you know?
  • aggp11
    Member
    • Jun 2011
    • 87

    #2
    Hi,

    You could try the FASTQC package if you haven't already. It can take fastq/bam/sam files and gives most of the important statistics for a NGS run.

    Comment

    • husamia
      Member
      • Apr 2010
      • 66

      #3
      I suggest using native linux tools such as grep, sed, awk in multithreaded environment also 64 bit may be useful in some applications where it is supported. There is option of using CUDA with GPU to do super fast calculations.

      Comment

      • JackieBadger
        Senior Member
        • Mar 2009
        • 385

        #4
        PRINSEQ and FASTQC

        Comment

        • Richard Finney
          Senior Member
          • Feb 2009
          • 701

          #5
          If you're up for moding a couple of lines of code for your needs
          this should do the trick ...
          Code:
          #include <stdio.h>
          #include <string.h>
          #include <ctype.h>
          unsigned long int sum[5];
          unsigned long int basecount;
          unsigned long int readcount = 0;
          char s[512];
          int main()
          {
              register int i,j;
              char ch;
              basecount = 0;
              memset(sum,0,sizeof(sum));
              while (gets(s))
              {
                  if (s[0] == '>') continue; // skip fasta entry header
                  readcount++;
                  for (i=0;i<s[i];i++)
                  {
                      ch = toupper(s[i]);
                      if (ch == 'A') { sum[0]++; basecount++; }
                      else if (ch == 'C') { sum[1]++; basecount++; }
                      else if (ch == 'G') { sum[2]++; basecount++; }
                      else if (ch == 'T') { sum[3]++; basecount++; }
                      else if (ch == 'N') { sum[4]++; basecount++; }
                  }
                  memset(s,0,sizeof(s));
              }
              for (j=0;j<5;j++)
              {
                  if (j == 0) printf("A ");
                  else if (j == 1) printf("C ");
                  else if (j == 2) printf("G ");
                  else if (j == 3) printf("T ");
                  else if (j == 4) printf("N ");
                  printf("%ld ",sum[j]);
                  printf("\n");
              }
              printf("bases = %ld \n",basecount);
              printf("reads = %ld \n",readcount);
              return 0;
          }

          Comment

          • maubp
            Peter (Biopython etc)
            • Jul 2009
            • 1544

            #6
            If you don't want error checking Heng Li has a very fast FASTA/FASTQ parser in C which could easily be used for the basic information you requested (read count and total bases):

            Comment

            Latest Articles

            Collapse

            • SEQadmin2
              Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
              by SEQadmin2


              Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

              The systematic characterization of the human proteome has
              ...
              07-20-2026, 11:48 AM
            • SEQadmin2
              Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
              by SEQadmin2



              Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
              ...
              07-09-2026, 11:10 AM
            • SEQadmin2
              Cancer Drug Resistance: The Lingering Barrier to Rising Survival
              by SEQadmin2



              Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

              There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
              07-08-2026, 05:17 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by SEQadmin2, 07-20-2026, 11:10 AM
            0 responses
            16 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 07-13-2026, 10:26 AM
            0 responses
            32 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 07-09-2026, 10:04 AM
            0 responses
            43 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 07-08-2026, 10:08 AM
            0 responses
            29 views
            0 reactions
            Last Post SEQadmin2  
            Working...