Welcome to the Ultimate Guide to Segunda Federación Femenina Group 3, Spain
  Football enthusiasts and bettors alike, welcome to your go-to resource for all things related to the Segunda Federación Femenina Group 3 in Spain. This guide is meticulously crafted to provide you with the most comprehensive insights into the latest matches, expert betting predictions, and much more. With daily updates, you'll never miss a beat in this thrilling football division.
  Understanding the Segunda Federación Femenina Group 3
  The Segunda Federación Femenina Group 3 is a critical tier in Spanish women's football, serving as a stepping stone for clubs aiming to ascend to higher levels of competition. It is part of the broader Segunda División Femenina, which acts as the second tier of Spanish women's football. This group is renowned for its competitive spirit and serves as a breeding ground for emerging talent.
  
  Key Features of the Group
  
    - Diverse Talent Pool: The group showcases a diverse array of teams from various regions, each bringing unique styles and strategies to the pitch.
 
    - Promotion Opportunities: Teams that perform exceptionally well have the chance to be promoted to higher divisions, adding an extra layer of excitement and competition.
 
    - Community Engagement: Matches often see significant local support, highlighting the growing popularity and importance of women's football in Spain.
 
  
  Latest Match Updates
  Stay ahead with our daily updates on every match in the Segunda Federación Femenina Group 3. Our coverage includes detailed match reports, player performances, and key highlights that you won't want to miss.
  How We Provide Updates
  
    - Real-Time Reporting: Get instant updates on scores, significant events, and match outcomes as they happen.
 
    - In-Depth Analysis: Our experts provide comprehensive analysis on how each match unfolded, offering insights into tactics and player contributions.
 
    - Video Highlights: Watch key moments from each game through our curated video highlights section.
 
  
  Betting Predictions by Experts
  Betting on football can be both thrilling and rewarding if done with the right information. Our expert analysts offer daily betting predictions tailored specifically for matches in the Segunda Federación Femenina Group 3. These predictions are based on extensive research, historical data, and current team form.
  Why Trust Our Predictions?
  
    - Data-Driven Insights: Our predictions are backed by rigorous data analysis, ensuring you have access to reliable information.
 
    - Expertise: Our team consists of seasoned analysts with years of experience in sports betting and football analysis.
 
    - Diverse Betting Options: We cover a wide range of betting markets, from match outcomes to player-specific bets.
 
  
  Betting Tips for Today's Matches
  
    - Team Form Analysis: Check out our breakdown of each team's recent form and how it might influence today's results.
 
    - Injury Updates: Stay informed about key player injuries that could impact team performance and betting odds.
 
    - Odds Comparison: Compare odds from different bookmakers to find the best value for your bets.
 
  
  Detailed Match Previews
  Before each matchday, we provide detailed previews that cover everything you need to know about the upcoming fixtures. These previews include team news, tactical setups, and potential game-changers that could influence the outcome.
  What's Included in Our Match Previews?
  
    - Squad News: Latest updates on team line-ups, including any new signings or departures.
 
    - Tactical Breakdown: An analysis of each team's playing style and tactical approach for the upcoming match.
 
    - Past Encounters: A look at previous meetings between the teams to identify patterns and key moments.
 
  
  Focused Player Spotlights
  We also feature spotlights on standout players who are expected to make a significant impact in their respective matches. These profiles include career highlights, current form, and what to watch for during their performances.
  
  The Role of Youth Development
  The Segunda Federación Femenina Group 3 is not just about competition; it's also a crucial platform for youth development. Many clubs use this stage to nurture young talents who have the potential to rise through the ranks and make it to national or even international levels.
  Youth Academies and Their Impact
  
    - Talent Identification: Clubs invest heavily in scouting and developing young players who show promise at an early age.
 
    - Training Programs: Comprehensive training programs are designed to hone skills, improve fitness levels, and instill professional discipline.
 
    - Mentorship Opportunities: Young players often receive mentorship from experienced professionals within their clubs, aiding their development both on and off the pitch.
 
  
  Showcasing Emerging Stars
  We highlight emerging stars from various youth academies who are making waves in Group 3. These players often become fan favorites due to their skillful play and dedication to the sport.
  
  Cultural Impact of Women's Football in Spain
  The rise of women's football in Spain has had a profound cultural impact, breaking stereotypes and encouraging more young girls to take up the sport. The Segunda Federación Femenina Group 3 plays a pivotal role in this movement by providing visibility and opportunities for female athletes at a competitive level.
  Fostering Inclusivity and Equality
  
    - Inclusive Policies: Many clubs have adopted policies aimed at promoting gender equality within their organizations.
 
    - Social Initiatives: Clubs engage in community outreach programs that focus on empowering young girls through sports education and participation.
 
    - Media Coverage: Increased media coverage has helped bring attention to women's football, inspiring future generations of female athletes.
 
  
  
  Economic Aspects of Football Clubs in Group 3
  The financial dynamics of football clubs participating in the Segunda Federación Femenina Group 3 are complex yet fascinating. Understanding these aspects can provide deeper insights into how clubs operate within this tier of Spanish women's football.
  Funding Sources for Clubs
  
    - Sponsorships: Many clubs rely on sponsorships from local businesses as well as larger corporations interested in supporting women's sports.
 
    - Ticket Sales: Revenue from ticket sales during home matches contributes significantly to club finances.
 
    - Governing Body Grants: Some clubs receive grants from regional or national football associations aimed at promoting women's football development.
 
  
  
  Tactical Evolution in Women's Football
YanaiLab/AmpliSeq_CancerHotspots<|file_sep|>/AmpliSeq_CancerHotspots_v1.0/AmpliSeq_CancerHotspots_v1.0.py
#!/usr/bin/env python
# AmpliSeq_CancerHotspots v1.0
# A pipeline for variant calling using Illumina AmpliSeq Cancer Hotspot Panel.
# version: v1.0
# date: March/2016
# author: Taisuke Kuroda ([email protected])
# description:
# This pipeline calls variants using AmpliSeq Cancer Hotspot Panel (Illumina).
# Input file: BAM file(s) (see "Input" section)
# Output files:
#   - "output/[sample name]_Mutect_calling_results.txt"
#   - "output/[sample name]_MuTect_filtering_results.txt"
#   - "output/[sample name]_MuTect_filtered_variants.vcf"
#   - "output/[sample name]_MuTect_filtered_variants_sorted.vcf"
#   - "output/[sample name]_MuTect_filtered_variants_indels.vcf"
#   - "output/[sample name]_MuTect_filtered_variants_snvs.vcf"
#
# This pipeline was developed using Python v2.7.
#
# Requirements:
#   - Python v2.7
#   - Samtools v1.1 (http://samtools.sourceforge.net/)
#   - MuTect v1.1.4 (https://software.broadinstitute.org/gatk/download/mutect)
#   - Picard v1.116 (https://broadinstitute.github.io/picard/)
#
# Usage:
#
#     ./AmpliSeq_CancerHotspots_v1.0.py -r [reference fasta file] 
#         [-b [BAM file]] [-n [sample name]] [-d [disease type]] 
#         [-f [normal sample BAM file]] [-fn [normal sample name]] 
#         [-s [strelka somatic sensitivity mode]] [-t [threads number]] 
#
#
#
import sys
import os
import subprocess
from optparse import OptionParser
def main():
    
    # Get command line options
    
    usage = """usage: %prog [options]
    
        A pipeline for variant calling using Illumina AmpliSeq Cancer Hotspot Panel.
        version: v1.0
        date: March/2016
        author: Taisuke Kuroda ([email protected])
        Requirements:
          - Python v2.7
          - Samtools v1.1 (http://samtools.sourceforge.net/)
          - MuTect v1.1.4 (https://software.broadinstitute.org/gatk/download/mutect)
          - Picard v1.116 (https://broadinstitute.github.io/picard/)
        Input files:
          BAM file(s) generated by Illumina BclToFastq software after base calling.
        Output files:
          output/[sample name]_Mutect_calling_results.txt
          output/[sample name]_MuTect_filtering_results.txt
          output/[sample name]_MuTect_filtered_variants.vcf
          output/[sample name]_MuTect_filtered_variants_sorted.vcf
          output/[sample name]_MuTect_filtered_variants_indels.vcf
          output/[sample name]_MuTect_filtered_variants_snvs.vcf
        
        """
    parser = OptionParser(usage=usage)
    parser.add_option("-r", "--reference",
                      action="store",
                      type="string",
                      dest="reference",
                      help="Reference fasta file.",
                      metavar="FILE")
    parser.add_option("-b", "--bam",
                      action="store",
                      type="string",
                      dest="bam",
                      help="BAM file.",
                      metavar="FILE")
    parser.add_option("-n", "--name",
                      action="store",
                      type="string",
                      dest="name",
                      help="Sample name.",
                      metavar="STRING")
    parser.add_option("-d", "--disease_type",
                      action="store",
                      type="string",
                      dest="disease_type",
                      help="Disease type.",
                      metavar="STRING")
    parser.add_option("-f", "--normal_bam",
                      action="store",
                      type="string",
                      dest="normal_bam",
                      help="Normal sample BAM file.",
                      metavar="FILE")
    parser.add_option("-fn", "--normal_name",
                      action="store",
                      type="string",
                      dest="normal_name",
                      help="Normal sample name.",
                      metavar="STRING")
    parser.add_option("-s", "--strelka_sensitivity_mode",
                      action="store",
                      type="choice",
                      dest="strelka_sensitivity_mode",
                      choices=["somatic","germline"],
                      default='somatic',
                      help="""Somatic or germline sensitivity mode.
                              somatic (default) or germline""",
                     )
    
 
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                    
                        # print usage if no arguments were given.
                        if len(sys.argv) == len(sys.argv) == optind:
                            print usage
                            sys.exit(0)
                    
                
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            # check required options
            
            if not options.reference:
                raise Exception("Error: Reference fasta file must be specified.")
                sys.exit(0)
            if not options.bam:
                raise Exception("Error: BAM file must be specified.")
                sys.exit(0)
            if not options.name:
                raise Exception("Error: Sample name must be specified.")
                sys.exit(0)
                
            if not options.disease_type:
                raise Exception("Error: Disease type must be specified.")
                sys.exit(0)
            if options.normal_bam != None:
                if not options.normal_name:
                    raise Exception("Error: Normal sample name must be specified.")
                    sys.exit(0)
                
            # get threads number
            
            try:
                threads = int(subprocess.check_output("nproc", shell=True))
            except Exception as e:
                print e
                raise Exception("Error: Unable to determine number of threads.")
                sys.exit(0)
            # check software requirements
            
            samtools_version=subprocess.check_output("samtools --version", shell=True)
            if not samtools_version.startswith("SAMtools"):
                raise Exception("Error: samtools v1.x.x is required but not found.")
                sys.exit(0)
            picard_version=subprocess.check_output("java -jar picard.jar --version", shell=True)
            if not picard_version.startswith("picard"):
                raise Exception("Error: Picard v1.x.x is required but not found.")
                sys.exit(0)
            # create directories
            script_dir = os.path.dirname(os.path.realpath(__file__))
            working_dir = os.path.join(script_dir,"working")
            output_dir = os.path.join(script_dir,"output")
            
            if not os.path.exists(working_dir):
                os.makedirs(working_dir)
            if not os.path.exists(output_dir):
                os.makedirs(output_dir)
            # create input list
            
            input_list = []
            input_list.append(options.bam)
            
            if options.normal_bam != None:
                input_list.append(options.normal_bam)
            
            
            
            
            
            
            
            
            
            
            
            
            
            
            
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
        
            
            
            
            
            
            
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                
                    
                    
                        
                            
                                # start time stamp
                                start_time_stamp = datetime.datetime.now()
                                print "[start time stamp]",start_time_stamp.strftime("%Y-%m-%d %H:%M:%S")
                            
                        
                        
                        
                            
                            
                            
                            
                            
                            
                            
                            
                            
                            
                            
                        
                            
                                
            
                            
                                
                                    
                                        
                                            
                                                
                                                
                                                
                                                    sample_name=options.name
                    
                                                
                                            
                                        
                                    
                                
                            
                        
                            
                                
            
                            
                                
                                    
                                        
                                            
                                                
                                                
                                                
                                                    disease_type=options.disease_type
                    
                                                
                                            
                                        
                                    
                                
                            
                        
                            
                                
            
                            
                                
                                    
                                        
                                            
                                                
                                                
                                                
                                                    strelka_sensitivity_mode=options.strelka_sensitivity_mode
                    
                                                
                                            
                                        
                                    
                                
                            
                        
                            
                                
            
                            
                                
                                    
                                        
                                            
                                                
                                                
                                                
                                                    normal_sample_name=options.normal_name
                    
                                                
                                            
                                        
                                    
                                
                            
                        
                            
                                
            
                            
                                
                                    
                                        
                                            
                                                
                                                
                                                
                                                    reference=options.reference
                    
                                                
                                            
                                        
                                    
                                
                            
                        
                        
                            
                            
                            
                            
                            
                            
                            
                            
                            
                            
                        
                        
                        
                            # sort bam file(s)
                        
                        
                        
                        
                        
                        
                            try:
                                subprocess.check_call(["samtools","sort","-@","%s" % threads,"-o","%s/%s.sorted.bam" % (working_dir,options.name),input_list[0]])
                                subprocess.check_call(["samtools","index","%s/%s.sorted.bam" % (working_dir,options.name)])
                            except Exception as e:
                                print e
                                raise Exception("[error]: Unable sort bam